Remote Research Engineer Jobs

As a global leader in cybersecurity CrowdStrike protects the people processes and technologies that drive modern organizations. Since 2011 our mission hasn’t changed — we’re here to stop breaches and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries and they count on CrowdStrike to keep their businesses running their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion a relentless focus on innovation and a fanatical commitment to our customers our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role CrowdStrike Counter Adversary Operations is seeking a motivated malware reverse engineer with excellent technical skills to research advanced cybercriminal attacks. Our Technical Analysis Cell (TAC) is at the forefront of CrowdStrike’s mission against state-sponsored adversaries and criminal actors. We combine intelligence analysis with deep-dive reverse engineering and malicious code analysis in addition to building and using automation systems to deliver actionable indicators and operational insights. CrowdStrike is uniquely positioned to leverage data from a multitude of sources including our proprietary telemetry our large internal malware corpus and our custom-built analysis pipeline. We foster an environment of respectful passionate camaraderie and collaboration between researchers who enjoy the fast-paced nature of our work. This highly technical position on the TAC eCrime team serves an important role in conducting research increasing our coverage of the global threat landscape contributing to the continuous tracking of criminal adversary groups and ultimately developing finished intelligence products that provide a decision advantage to customers. We are ideally looking for a seasoned specialist in the tracking of eCrime actors their tooling and their TTPs. That said we are also open to applications by experienced and talented malware researchers or reverse engineers without significant knowledge in this field who are willing to rapidly expand their skills to successfully carry out the essential duties of this role. What You'll Do Technical Analysis: Discover investigate and track advanced cyber intrusions and document findings. Enhance understanding of tools and malware through reverse engineering. Develop tools to automate analysis tasks and tracking of threat actors. Create host-based and network-based signatures suited for large-scale hunting detection and tracking of threats. Intelligence Reporting Produce high-quality actionable intelligence reporting. Collaborate with our interdisciplinary team to coordinate adversary and campaign tracking and to provide support to teams developing mitigation strategies and responding to incidents. Required What You'll Need: Effective collaborator and team player Knowledge of reverse engineering tools (disassemblers decompilers debuggers) and processes (unpacking malware reconstructing code logic etc). Understanding of Windows OS internals. Knowledge of programming and scripting languages in particular Python. Ability to identify and classify malicious tooling through development of signatures that can be used for tracking and hunting purposes. Ability to express complex technical and non-technical concepts in written verbal and graphical products. Proven track record of relevant experience in the cybersecurity field Preferred Ability to interpret raw network data and to develop network signatures as well as custom protocol decoders and decryption tools. Familiarity tracking botnets and commodity malware. Experience tracking adversaries engaged in targeted criminal or ransomware operations. A background in intelligence is a plus. Benefits Of Working At CrowdStrike Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks geographic neighborhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race color creed ethnicity religion sex (including pregnancy or pregnancy-related medical conditions) sexual orientation gender identity marital or family status veteran status age national origin ancestry physical disability (including HIV and AIDS) mental disability medical condition genetic information membership or activity in a local human rights commission status with regard to public assistance or any other characteristic protected by law. We base all employment decisionsincluding recruitment selection training compensation benefits discipline promotions transfers lay-offs return from lay-off terminations and social/recreational programson valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including but not limited to relevant work experience skills certifications job level supervisory status and location. The base salary range for this position for all U.S. candidates is $80000 - $120000 per year with eligibility for bonuses equity grants and a comprehensive benefits package that includes health insurance 401k and paid time off. For detailed information about the U.S. benefits package please click here. Expected Close Date of Job Posting is:09-09-2025

"Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first we are also dedicated to our employees investing in competitive compensation and comprehensive benefit plans – to take care of you and your family now and in the future. And with continuing education and advancement opportunities at every turn you can build a long successful career with Mayo Clinic. Benefits Highlights Medical: Multiple plan options. Dental: Delta Dental or reimbursement account for flexible coverage. Vision: Affordable plan with national network. Pre-Tax Savings: HSA and FSAs for eligible expenses. Retirement: Competitive retirement package to secure your future. Responsibilities AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data systems and computer sciences. They work closely with a multidisciplinary team including clinicians user experience designers product managers IT professionals and external partners to develop and deploy effective efficient and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency. As a Senior AI/ML Engineer you may work on the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well including workflows challenges and requirements of healthcare providers and patients. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data including patient records medical imaging and genomic information to develop AI solutions that meet clinical needs and are integrated smoothly into clinical processes. You will develop integrate and standardize software components and create maintain and follow quality system procedures. You will guide the engineering of systems that are pivotal to developing and deploying these solutions which encompass everything from design requirements development component creation verification non-clinical validation and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and setting new benchmarks for safety and effectiveness in clinical settings. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design testing and maintenance of tools and associated CI/CD pipelines. This role is instrumental in providing consultative services to departments and divisions offering insights into complex business problems. Your ability to communicate complex findings in easily understandable terms to non-technical users will bridge the gap between sophisticated AI technologies and clinical applications. Leading component design development integration and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations. Collaborating with a multidisciplinary team including clinicians user experience designers product managers and IT professionals to understand user needs workflows and clinical requirements and assess feasibility. Translating user feedback and requirements into design concepts and usability specifications for AI solutions. Leveraging machine learning techniques such as deep learning natural language processing computer vision large language models etc. to lead the design development and deployment of end-to-end AI solutions for healthcare applications. Establishing evaluation methodologies and performance metrics to assess AI solutions' effectiveness usability and impact in real-world healthcare settings. Explaining data analysis results to guide strategic choices and clarify complex insights for non-technical users to connect AI technologies and clinical applications. Overseeing the engineering of systems crucial for developing and deploying AI solutions. Facilitating consistent and automated AI software solution development and releases through the design testing and maintenance of tools and associated CI/CD pipelines. Contributing to implementing the best practices and standards for AI development and deployment methodologies tools and platforms. Providing mentorship guidance and technical leadership to junior engineers within the AI enablement team. Providing consultative services on areas of expertise to clinical work units or AI product teams offering insights and strategies to address complex business problems. Providing training and education to healthcare staff on AI tools and technologies. Contributing to developing new AI methods and technologies that can advance the state-of-the-art in healthcare AI. Qualifications Qualifications: A master’s degree in engineering computer science mathematics health science or a related field with 4 years of experience a bachelor’s degree with 6 years of experience. Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries showcasing an understanding of healthcare technology. Demonstrated leadership in managing complex projects with a proven ability to navigate intricate project requirements and deliver successful outcomes. Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders. Demonstrated expertise in cloud infrastructure environment and software development tools. Experience working with large complex and heterogeneous data sets preferably in healthcare. Skilled in AI/ML techniques and frameworks. Familiarity with best practices in data engineering data science AI Engineering and the MLOps communities. Demonstrated initiative in administration education software development and technical reporting. A commitment to mentoring and training less-experienced team members coupled with strong interpersonal communication and time management skills. Preferred Qualifications: A Ph.D. or other doctorate is preferred. Strong expertise in AI/ML techniques and frameworks such as deep learning natural language processing and Generative AI with proficiency in tools like Python TensorFlow PyTorch sci-kit-learn Keras etc. Knowledge of the healthcare domain including clinical workflows electronic health records medical terminologies regulatory requirements and industry standards. Familiarity with systems or quality engineering best practices regulatory standards and compliance frameworks with the ability to adapt these effectively to different project scenarios. Demonstrated experience leading technical/quantitative teams in a regulated environment. Demonstrated experience creating risk management files and verification/validation strategies for digital health technology products within the healthcare industry. Strong expertise in user-centered design human factors engineering usability testing methodologies and evaluation across AI product development. Ability to conduct expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice. Exemption Status Exempt Compensation Detail Education experience and tenure may be considered along with internal equity when job offers are extended. $134451 - 201656 annually. Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details M-F Business hours This position works remotely 100% of the time from anywhere in the United States. Weekend Schedule as needed International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots so have our locations. Today our employees are located at our three major campuses in Phoenix/Scottsdale Arizona Jacksonville Florida Rochester Minnesota and at Mayo Clinic Health System campuses throughout Midwestern communities and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race color religion sex gender identity sexual orientation national origin protected veteran status or disability status. Learn more about the ""EOE is the Law"". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and if necessary the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Recruiter Jill Squier"

About Us: Mapsted (www.mapsted.com) is a global leader in innovative location-based technology distinguished by its proprietary hardware-free solutions. Founded in 2014 the company has pioneered the transformation of data chaos into actionable intelligence through advanced AI and machine learning. Mapsted has meticulously mapped over one billion square feet of indoor space and holds more than 100 patents showcasing its commitment to trailblazing innovation. Its unique ability to deliver scalable beacon-free indoor positioning with an accuracy of 1–5 meters places it at the forefront of the industry. Overview: About Us: Mapsted (www.mapsted.com) is a global leader in innovative location-based technology distinguished by its proprietary hardware-free solutions. Founded in 2014 the company has pioneered the transformation of data chaos into actionable intelligence through advanced AI and machine learning. Mapsted has meticulously mapped over one billion square feet of indoor space and holds more than 100 patents showcasing its commitment to trailblazing innovation. Its unique ability to deliver scalable beacon-free indoor positioning with an accuracy of 1–5 meters places it at the forefront of the industry. Overview: We are seeking a passionate and self-driven Senior RD Engineer with deep expertise in software and algorithm development to join our growing team. This is a hands-on role where you will contribute to the design and development of cutting-edge technologies and core system components. If you're excited about working in a fast-paced environment expanding your skill set and driving innovation we’d love to hear from you. Key Responsibilities: Contribute to the full lifecycle of product research design and development — from concept through implementation. Design develop and optimize advanced algorithms for real-world applications. Drive technical innovation and improve efficiency within core system components. Collaborate across multidisciplinary teams to integrate and test software solutions. Required Qualifications: Ph.D. in Engineering Applied Mathematics Computer Science or a related technical discipline. Solid foundation in signal processing adaptive filtering optimization theory and probability theory. Hands-on experience with Bayesian filtering techniques such as Kalman Filters Particle Filters and Hidden Markov Models (HMMs). Practical experience in object-oriented programming especially in languages such as C++ C# or Python. Preferred Experience (Nice to Have): Familiarity with indoor positioning localization or navigation systems. Experience with sensor fusion or data fusion methodologies. Working knowledge of data from inertial sensors like accelerometers gyroscopes and magnetometers. Skills: Strong communication skills in English — both written and verbal. Exceptional analytical conceptual and problem-solving abilities. A quick learner with a proactive and results-driven mindset. Ability to thrive in a collaborative cross-functional and fast-paced environment. Job Type: Full-time Schedule: Evening shift Monday to Friday Morning shift Night shift Supplemental Pay: Performance bonus

As a global leader in cybersecurity CrowdStrike protects the people processes and technologies that drive modern organizations. Since 2011 our mission hasn’t changed — we’re here to stop breaches and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries and they count on CrowdStrike to keep their businesses running their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion a relentless focus on innovation and a fanatical commitment to our customers our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: CrowdStrike Counter Adversary Operations is seeking a motivated malware reverse engineer with excellent technical skills to research advanced cybercriminal attacks. Our Technical Analysis Cell (TAC) is at the forefront of CrowdStrike’s mission against state-sponsored adversaries and criminal actors. We combine intelligence analysis with deep-dive reverse engineering and malicious code analysis in addition to building and using automation systems to deliver actionable indicators and operational insights. CrowdStrike is uniquely positioned to leverage data from a multitude of sources including our proprietary telemetry our large internal malware corpus and our custom-built analysis pipeline. We foster an environment of respectful passionate camaraderie and collaboration between researchers who enjoy the fast-paced nature of our work. This highly technical position on the TAC eCrime team serves an important role in conducting research increasing our coverage of the global threat landscape contributing to the continuous tracking of criminal adversary groups and ultimately developing finished intelligence products that provide a decision advantage to customers. We are ideally looking for a seasoned specialist in the tracking of eCrime actors their tooling and their TTPs. That said we are also open to applications by experienced and talented malware researchers or reverse engineers without significant knowledge in this field who are willing to rapidly expand their skills to successfully carry out the essential duties of this role. What You'll Do: Technical Analysis: Discover investigate and track advanced cyber intrusions and document findings. Enhance understanding of tools and malware through reverse engineering. Develop tools to automate analysis tasks and tracking of threat actors. Create host-based and network-based signatures suited for large-scale hunting detection and tracking of threats. Intelligence Reporting: Produce high-quality actionable intelligence reporting. Collaborate with our interdisciplinary team to coordinate adversary and campaign tracking and to provide support to teams developing mitigation strategies and responding to incidents. What You'll Need: Required: Effective collaborator and team player Knowledge of reverse engineering tools (disassemblers decompilers debuggers) and processes (unpacking malware reconstructing code logic etc). Understanding of Windows OS internals. Knowledge of programming and scripting languages in particular Python. Ability to identify and classify malicious tooling through development of signatures that can be used for tracking and hunting purposes. Ability to express complex technical and non-technical concepts in written verbal and graphical products. Proven track record of relevant experience in the cybersecurity field Preferred: Ability to interpret raw network data and to develop network signatures as well as custom protocol decoders and decryption tools. Familiarity tracking botnets and commodity malware. Experience tracking adversaries engaged in targeted criminal or ransomware operations. A background in intelligence is a plus. #LI-Remote #LI-A01 Benefits of Working at CrowdStrike: Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks geographic neighborhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race color creed ethnicity religion sex (including pregnancy or pregnancy-related medical conditions) sexual orientation gender identity marital or family status veteran status age national origin ancestry physical disability (including HIV and AIDS) mental disability medical condition genetic information membership or activity in a local human rights commission status with regard to public assistance or any other characteristic protected by law. We base all employment decisions-including recruitment selection training compensation benefits discipline promotions transfers lay-offs return from lay-off terminations and social/recreational programs-on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike Inc. is committed to equal pay for equal work in its compensation practices. The base salary range for this position in the U.S. is $80000 - $130000 per year + variable/incentive compensation + equity + benefits. A candidate's salary is determined by various factors including but not limited to relevant work experience skills certifications job level supervisory status and location. Expected Close Date of Job Posting is:09-09-2025

As a global leader in cybersecurity CrowdStrike protects the people processes and technologies that drive modern organizations. Since 2011 our mission hasn’t changed — we’re here to stop breaches and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries and they count on CrowdStrike to keep their businesses running their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion a relentless focus on innovation and a fanatical commitment to our customers our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: CrowdStrike Counter Adversary Operations is seeking a motivated malware reverse engineer with excellent technical skills to research advanced cybercriminal attacks. Our Technical Analysis Cell (TAC) is at the forefront of CrowdStrike’s mission against state-sponsored adversaries and criminal actors. We combine intelligence analysis with deep-dive reverse engineering and malicious code analysis in addition to building and using automation systems to deliver actionable indicators and operational insights. CrowdStrike is uniquely positioned to leverage data from a multitude of sources including our proprietary telemetry our large internal malware corpus and our custom-built analysis pipeline. We foster an environment of respectful passionate camaraderie and collaboration between researchers who enjoy the fast-paced nature of our work. This highly technical position on the TAC eCrime team serves an important role in conducting research increasing our coverage of the global threat landscape contributing to the continuous tracking of criminal adversary groups and ultimately developing finished intelligence products that provide a decision advantage to customers. We are ideally looking for a seasoned specialist in the tracking of eCrime actors their tooling and their TTPs. That said we are also open to applications by experienced and talented malware researchers or reverse engineers without significant knowledge in this field who are willing to rapidly expand their skills to successfully carry out the essential duties of this role. What You'll Do: Technical Analysis: Discover investigate and track advanced cyber intrusions and document findings. Enhance understanding of tools and malware through reverse engineering. Develop tools to automate analysis tasks and tracking of threat actors. Create host-based and network-based signatures suited for large-scale hunting detection and tracking of threats. Intelligence Reporting: Produce high-quality actionable intelligence reporting. Collaborate with our interdisciplinary team to coordinate adversary and campaign tracking and to provide support to teams developing mitigation strategies and responding to incidents. What You'll Need: Required: Effective collaborator and team player Knowledge of reverse engineering tools (disassemblers decompilers debuggers) and processes (unpacking malware reconstructing code logic etc). Understanding of Windows OS internals. Knowledge of programming and scripting languages in particular Python. Ability to identify and classify malicious tooling through development of signatures that can be used for tracking and hunting purposes. Ability to express complex technical and non-technical concepts in written verbal and graphical products. Proven track record of relevant experience in the cybersecurity field Preferred: Ability to interpret raw network data and to develop network signatures as well as custom protocol decoders and decryption tools. Familiarity tracking botnets and commodity malware. Experience tracking adversaries engaged in targeted criminal or ransomware operations. A background in intelligence is a plus. #LI-Remote #LI-A01 Benefits of Working at CrowdStrike: Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks geographic neighborhood groups and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race color creed ethnicity religion sex (including pregnancy or pregnancy-related medical conditions) sexual orientation gender identity marital or family status veteran status age national origin ancestry physical disability (including HIV and AIDS) mental disability medical condition genetic information membership or activity in a local human rights commission status with regard to public assistance or any other characteristic protected by law. We base all employment decisions-including recruitment selection training compensation benefits discipline promotions transfers lay-offs return from lay-off terminations and social/recreational programs-on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike Inc. is committed to equal pay for equal work in its compensation practices. The base salary range for this position in the U.S. is $80000 - $130000 per year + variable/incentive compensation + equity + benefits. A candidate's salary is determined by various factors including but not limited to relevant work experience skills certifications job level supervisory status and location. Expected Close Date of Job Posting is:09-09-2025

DescriptionAt Hugging Face we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the RoleHigh-quality datasets are the foundation of strong LLMs yet most labs releasing state-of-the-art models are vague when it comes to the pretraining data. At Hugging Face we want to enable all the community to build the best models by building and open-sourcing the finest datasets. FineWeb and FineWeb-Edu are examples of very strong web-scale datasets we released this year while also open-sourcing the distributed processing library datatrove. During this internship you will work alongside the FineWeb team and build the next generation of high-quality web data by running distributed data processing and ablating the data quality by training small models. Checkout hf.co/science for more information about the science team at Hugging Face and the FineWeb and FineTask blog posts for the work of this team specifically.About YouIf you love open-source but also have an eye for art and creativity are passionate about making complex technology more accessible to engineers and artists and want to contribute to one of the fastest-growing ML ecosystems then we can t wait to see your application!If you re interested in joining us but don t tick every box above we still encourage you to apply! We re building a diverse team whose skills experiences and background complement one another. We re happy to consider where you might be able to make the biggest impact.More about Hugging FaceWe are actively working to build a culture that values diversity equity and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences training and education.We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world especially in the US Canada and Europe we re very distributed and all remote employees have the opportunity to visit our offices. If needed we ll also outfit your workstation to ensure you succeed.We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. ➡ RequirementsPlease provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills potential expertise and topics on which you would like to work. ➡

DescriptionAt Hugging Face we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the RoleHigh-quality datasets are the foundation of strong LLMs yet most labs releasing state-of-the-art models are vague when it comes to the pretraining data. At Hugging Face we want to enable all the community to build the best models by building and open-sourcing the finest datasets. FineWeb and FineWeb-Edu are examples of very strong web-scale datasets we released this year while also open-sourcing the distributed processing library datatrove. During this internship you will work alongside the FineWeb team and build the next generation of high-quality web data by running distributed data processing and ablating the data quality by training small models. Checkout hf.co/science for more information about the science team at Hugging Face and the FineWeb and FineTask blog posts for the work of this team specifically.About YouIf you love open-source but also have an eye for art and creativity are passionate about making complex technology more accessible to engineers and artists and want to contribute to one of the fastest-growing ML ecosystems then we can t wait to see your application!If you re interested in joining us but don t tick every box above we still encourage you to apply! We re building a diverse team whose skills experiences and background complement one another. We re happy to consider where you might be able to make the biggest impact.More about Hugging FaceWe are actively working to build a culture that values diversity equity and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences training and education.We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world especially in the US Canada and Europe we re very distributed and all remote employees have the opportunity to visit our offices. If needed we ll also outfit your workstation to ensure you succeed.We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. ➡ RequirementsPlease provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills potential expertise and topics on which you would like to work. ➡

DescriptionAt Hugging Face we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the RoleSmol models are an exciting area of research as they enable cheaper inference and can be run on-device allowing for more customization and ensuring privacy. The SmolLM team at Hugging Face is pushing the frontier of smol models by building high quality pre-training and post-training datasets [12] and applying the latest architecture and training techniques to develop state-of-the-art models [23]. The dataset processing can leverage our scalable CPU cluster and the models are trained on a state-of-the-art H100 cluster with close to 100 nodes. In this internship you will work alongside the SmolLM team and work towards building the next generation of smol language models by iterating on datasets and models quickly and finally training models on our distributed training infrastructure. If you are passionate about training LLMs and building high-quality datasets proficient in Python we would love to hear from you! Join the SmolLM team and collaborate on developing the best smol models in the field. Checkout hf.co/science for more information about the science team at Hugging Face and hf.co/HuggingFaceTB for more information on the SmolLM projects. [1] The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale https://arxiv.org/abs/2406.17557 [2] SmolLM - blazingly fast and remarkably powerful https://huggingface.co/blog/smollm [3] SmolLM2 https://github.com/huggingface/smollmAbout YouIf you love open-source but also have an eye for art and creativity are passionate about making complex technology more accessible to engineers and artists and want to contribute to one of the fastest-growing ML ecosystems then we can t wait to see your application!If you re interested in joining us but don t tick every box above we still encourage you to apply! We re building a diverse team whose skills experiences and background complement one another. We re happy to consider where you might be able to make the biggest impact.More about Hugging FaceWe are actively working to build a culture that values diversity equity and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences training and education.We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world especially in the US Canada and Europe we re very distributed and all remote employees have the opportunity to visit our offices. If needed we ll also outfit your workstation to ensure you succeed.We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. ➡ RequirementsPlease provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills potential expertise and topics on which you would like to work. ➡

DescriptionAt Hugging Face we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the RoleSmol models are an exciting area of research as they enable cheaper inference and can be run on-device allowing for more customization and ensuring privacy. The SmolLM team at Hugging Face is pushing the frontier of smol models by building high quality pre-training and post-training datasets [12] and applying the latest architecture and training techniques to develop state-of-the-art models [23]. The dataset processing can leverage our scalable CPU cluster and the models are trained on a state-of-the-art H100 cluster with close to 100 nodes. In this internship you will work alongside the SmolLM team and work towards building the next generation of smol language models by iterating on datasets and models quickly and finally training models on our distributed training infrastructure. If you are passionate about training LLMs and building high-quality datasets proficient in Python we would love to hear from you! Join the SmolLM team and collaborate on developing the best smol models in the field. Checkout hf.co/science for more information about the science team at Hugging Face and hf.co/HuggingFaceTB for more information on the SmolLM projects. [1] The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale https://arxiv.org/abs/2406.17557 [2] SmolLM - blazingly fast and remarkably powerful https://huggingface.co/blog/smollm [3] SmolLM2 https://github.com/huggingface/smollmAbout YouIf you love open-source but also have an eye for art and creativity are passionate about making complex technology more accessible to engineers and artists and want to contribute to one of the fastest-growing ML ecosystems then we can t wait to see your application!If you re interested in joining us but don t tick every box above we still encourage you to apply! We re building a diverse team whose skills experiences and background complement one another. We re happy to consider where you might be able to make the biggest impact.More about Hugging FaceWe are actively working to build a culture that values diversity equity and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences training and education.We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world especially in the US Canada and Europe we re very distributed and all remote employees have the opportunity to visit our offices. If needed we ll also outfit your workstation to ensure you succeed.We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. ➡ RequirementsPlease provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills potential expertise and topics on which you would like to work. ➡

DescriptionAt Hugging Face we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the RoleAt Hugging Face we re dedicated to democratizing machine learning and making cutting-egg models accessible to everyone. We focus on developing open-source tools and models that push the boundaries of AI while remaining efficient and user-friendly. Aligned with this we ve recently released SmolVLM [1] a state-of-the-art fully open-source VLM that s small fast and memory-efficient. SmolVLM stands out for its ability to run on limited computational resources making it deployable on local setups like laptops and edge devices. This opens up new possibilities for reducing inference costs and enabling user customization. As an intern on the SmolVLM project you will be at the forefront of multimodal AI innovation. Your responsibilities will include: • Developing and Optimizing Vision Language Models: Collaborate with our team to enhance the SmolVLM architecture. You ll improve its efficiency memory footprint and performance ensuring it remains a leading model given its compact size. • Training Models on Our High-Performance Computing Cluster: Use our cluster with 100s of H100s to train and fine-tune SmolVLM models on large-scale open-source datasets like The Cauldron [2] and Docmatix [3]. • Research and Experimentation: Engage in cutting-edge research to explore new techniques in multimodal learning. You ll experiment with context extension and efficient image encoding. This internship offers a unique opportunity to immerse yourself in developing accessible high-performance AI models. You ll gain practical experience with advanced machine-learning techniques and contribute to projects that have a tangible impact on the AI community. Checkout hf.co/science for more information about the science team at Hugging Face. 1] https://huggingface.co/blog/smolvlm [2] https://huggingface.co/datasets/HuggingFaceM4/the_cauldron/ [3] https://huggingface.co/datasets/HuggingFaceM4/DocmatixAbout YouIf you love open-source but also have an eye for art and creativity are passionate about making complex technology more accessible to engineers and artists and want to contribute to one of the fastest-growing ML ecosystems then we can t wait to see your application!If you re interested in joining us but don t tick every box above we still encourage you to apply! We re building a diverse team whose skills experiences and background complement one another. We re happy to consider where you might be able to make the biggest impact.More about Hugging FaceWe are actively working to build a culture that values diversity equity and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences training and education.We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world especially in the US Canada and Europe we re very distributed and all remote employees have the opportunity to visit our offices. If needed we ll also outfit your workstation to ensure you succeed.We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. ➡ RequirementsPlease provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills potential expertise and topics on which you would like to work. ➡