Remote AI Researcher Jobs

REMOTE FIRST INCLUSIVE ALWAYS.EQUALS TRUE started when a type design geek and a talent nerd decided to create real change in the technology industry workforce. So they built the first-in-industry authentic talent partner to help organizations build cultures and scale internationally with the best talent in the Americas. We are the only organization in Latin America that was founded with a commitment to be inclusive treat individuals fairly pay them equally and provide them with a great professional experience each day and only want the best. These values are what grounds our business model and practices each day. We are different awkward techie and weird people in all the right ways. So if you’re looking for a new career partner who’s remote-first has a true social mission and only works with companies that share our values let’s talk about our AI Intern role today. Here’s what you need to know about this position: THE WORK Explore and test AI tools and emerging tech to discover opportunities that create value for the business. Research market trends customer behaviors and competitors to find actionable insights. Help design and run small experiments or prototypes that show AI’s potential impact. Work closely with different teams and share ideas to improve decision-making and innovation. Document findings and present them in ways everyone can understand. Stay curious and keep up with the latest AI tools and trends. NEEDED EXPERTISE Students enrolled in or recently graduated from a degree program in Business Economics Engineering Data or similar. Some experience in research data analysis or working with digital tools. Passion for AI and emerging technologies with a desire to learn and experiment. Basic programming skills in Python JavaScript or similar to experiment with AI tools. Proactive curious and ready to collaborate with teams across the company. Good English communication skills written and spoken. OUR BENEFITS & PERKS We pay in USD on a platform that allows you to convert allocate and disburse your salary as you want and into almost any currency that you choose. Paid Company Holidays. Medical Safety & Wellness benefits Free live business language classes …and more perks being added each quarter Interested? Great! Please send us your CV/Resume to start the conversation and learn more about each other. EQUALS TRUE is a global inclusive talent network of like-minded software engineers agileist and design thinkers. We build and develop safe inclusive equitable and balanced teams for companies that need to scale globally in a socially responsible way. EQUALS TRUE is open to all qualified candidates.We never evaluate qualified people on anything other than their skills work history training and ability to do the job. We respect the right of people to live the life they want without judgements. So we practice wage equality create a culture of belonging insist upon respect for all our people make every effort to accommodate all disabilities and work only with companies that share our values. We are proud to be a global equal opportunity employer. And as such we never discriminate based on race religion color national origin disability sexual orientation gender gender identity status as a veteran or any other protected status. We also consider qualified applicants with non-violent and non-financial related criminal histories. Additionally EQUALS TRUE is committed to providing reasonable accommodations for candidates with disabilities throughout our hiring processes. If you need any assistance or accommodations due to a disability please let us know. https://equalstrue.tech/ #EQUALSTRUE

Location: Remote – United States United Kingdom or Canada Commitment: Part-time (10–20 hrs/week with potential up to 40 hrs) Start Date: Mid–Late August Duration: 1–2 months (possible extension) Copy and paste to finish out the application procedure: https://work.mercor.com/jobs/listAAABmJsUZ8iUGpJ6-RFHc7eD?referralCode=9df2a9e1-2f06-11ef-ae42-42010a400fc4&utmsource=referral&utmmedium=share&utmcampaign=jobreferral Needed: Legal Interns to write review and validate prompt-based questions that train advanced AI systems in legal reasoning. You’ll use your skills in legal research case analysis and drafting to ensure every prompt and response is accurate precise and aligned with real-world law. This is a unique opportunity to shape how AI understands and interacts with legal information — working alongside a team at the intersection of law and cutting-edge technology. You’re a great fit if you have: Internship experience at a law firm in-house legal department government agency or legal research organization (U.S. U.K. or Canada) Currently pursuing or recently completed a J.D. LL.B. or equivalent law degree Strong background in legal research and writing including case law analysis and drafting legal memoranda Excellent written and verbal communication skills High attention to detail and respect for legal precision Reside in the United States United Kingdom or Canada Role Highlights Flexible workload: 10–20 hrs/week potential to increase to 40 hrs/week Fully remote & asynchronous – work on your schedule Short-term engagement: 1–2 months potential for extension Weekly pay via Stripe Connect (hourly contractor status) You will take an AI-led interview on the Mercor platform before proceeding to be considered Job Type: Contract Pay: $35.00 - $65.00 per hour Expected hours: 10 – 40 per week Work Location: Remote

Location: Remote – United States United Kingdom or Canada Commitment: Part-time (10–20 hrs/week with potential up to 40 hrs) Start Date: Mid–Late August Duration: 1–2 months (possible extension) Copy and paste to finish out the application procedure: https://work.mercor.com/jobs/listAAABmJsUZ8iUGpJ6-RFHc7eD?referralCode=9df2a9e1-2f06-11ef-ae42-42010a400fc4&utmsource=referral&utmmedium=share&utmcampaign=jobreferral Needed: Legal Interns to write review and validate prompt-based questions that train advanced AI systems in legal reasoning. You’ll use your skills in legal research case analysis and drafting to ensure every prompt and response is accurate precise and aligned with real-world law. This is a unique opportunity to shape how AI understands and interacts with legal information — working alongside a team at the intersection of law and cutting-edge technology. You’re a great fit if you have: Internship experience at a law firm in-house legal department government agency or legal research organization (U.S. U.K. or Canada) Currently pursuing or recently completed a J.D. LL.B. or equivalent law degree Strong background in legal research and writing including case law analysis and drafting legal memoranda Excellent written and verbal communication skills High attention to detail and respect for legal precision Reside in the United States United Kingdom or Canada Role Highlights Flexible workload: 10–20 hrs/week potential to increase to 40 hrs/week Fully remote & asynchronous – work on your schedule Short-term engagement: 1–2 months potential for extension Weekly pay via Stripe Connect (hourly contractor status) You will take an AI-led interview on the Mercor platform before proceeding to be considered Job Type: Contract Pay: $35.00 - $65.00 per hour Expected hours: 10 – 40 per week Work Location: Remote

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 is seeking a Senior Director of Attack Surface Management AI Security and Security Research to lead a strategic and multidisciplinary organization at the forefront of cybersecurity innovation. This executive-level role is responsible for developing and driving strategy across three critical domains: attack surface management AI system security and cutting-edge security research . You will collaborate closely with the CISO product and engineering leaders senior business stakeholders and CrowdStrike’s world-class cybersecurity teams to deliver industry-leading security capabilities that protect our business and advance the security of our customers. This is a leader of leaders role with two or more globally distributed teams reporting in. The successful candidate will blend visionary leadership with deep technical acumen and a hands-on approach to solving complex security challenges across emerging technologies adversary behaviors and digital environments. What You’ll Do Attack Surface Management Define and lead a comprehensive attack surface management (ASM) strategy that covers internal and external assets cloud infrastructure SaaS services and supply chain components Oversee continuous discovery assessment and mitigation of vulnerabilities across CrowdStrike’s expanding digital footprint Build capabilities for continuous monitoring and risk prioritization leveraging threat intelligence automated tooling and cross-team coordination Stay abreast of evolving threat vectors and technologies ensuring CrowdStrike’s defenses evolve with the adversary AI Security Design and implement security controls and threat modeling frameworks for AI/ML systems Identify and mitigate emerging AI risks including adversarial machine learning model inversion prompt injection and data poisoning Partner with engineering and data science teams to promote secure-by-design AI development practices Drive CrowdStrike’s strategy on responsible and ethical AI security Security Research Lead a high-impact security research team focused on identifying new vulnerabilities attack techniques and defense innovations Guide the development and validation of novel security tools methodologies and detection techniques Mentor a team of researchers and foster a culture of technical excellence and innovation Publish high-quality research to elevate CrowdStrike’s visibility and influence within the global security community General Security Leadership Manage and grow globally distributed teams of cyber defenders AI security experts and security researchers Coordinate security incident response including leading crisis communications and tabletop exercises with senior stakeholders Act as an internal champion for CrowdStrike’s “Customer Zero” approach integrating Falcon platform innovations into internal use Build strong relationships with stakeholders across product legal compliance and engineering to ensure security alignment at every level Represent CrowdStrike externally via public speaking thought leadership and media engagements What You’ll Need Proven experience leading large-scale global cybersecurity organizations preferably with functions spanning threat detection ASM research and/or AI security Deep understanding of cybersecurity principles vulnerability management and threat actor methodologies Domain expertise in AI/ML security including secure model development and adversarial defense techniques Demonstrated experience in security research leadership vulnerability discovery or security tooling innovation Strong business acumen and ability to translate technical concepts for executive and non-technical audiences Ability to operate effectively in high-stress fast-paced and ambiguous environments Excellent written and verbal communication skills able to influence at all levels of an organization Bonus Points Experience with the CrowdStrike Falcon platform and contributing feedback as a customer or internal adopter Deep knowledge of modern attack surfaces including cloud-native environments SaaS and supply chain ecosystems Recognized contributor in the AI security or security research communities (e.g. publications conference talks) Relevant certifications such as CISSP CISM GIAC or advanced degrees in cybersecurity or AI Strong project and program management skills experience scaling security capabilities across global environments 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 equal pay for equal work in its compensation practices. The base salary range for this position in the U.S. is $210000 - $310000 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 is seeking an experienced Senior Data Scientist to join our expanding Data Science team. In these roles you'll lead cutting-edge AI/ML research initiatives at the intersection of cybersecurity and advanced machine learning with a focus on mechanistic explainability self-supervised learning representation learning and innovations that extend beyond current generative AI capabilities. As part of our team you'll enjoy unique advantages that blend research depth with industry impact. You'll have access to vast proprietary datasets unavailable elsewhere significant GPU computing infrastructure capable of supporting our in-house LLM training initiatives and the opportunity to see your research directly impact real-world cybersecurity challenges. You'll be joining a team at the forefront of state-of-the-art generative AI solutions while also helping to define what comes next in AI innovation. We foster an environment that encourages publication in top-tier journals and conferences while also providing the satisfaction of seeing your innovations deployed at scale. Our diverse team includes professionals from varied backgrounds - from academia to professional services - united by a passion for advancing AI in cybersecurity. Whether your experience comes from research institutions consulting or industry roles we value your unique perspective. You'll work alongside fellow PhDs and experienced practitioners in a culture that values intellectual curiosity and breakthrough thinking. We also offer a robust patent incentivization program that rewards innovative thinking and intellectual property development. This inclusive environment makes CrowdStrike an ideal place for talented individuals from diverse professional backgrounds who share an interest in fundamental AI research and its practical applications. What You'll Do: Lead research initiatives in mechanistic explainability self-supervised learning and representation learning to advance fundamental AI capabilities for cybersecurity applications Develop novel machine learning architectures that move beyond current generative AI paradigms creating more robust transparent and efficient models for complex multimodal cybersecurity data Analyze diverse high-dimensional datasets to discover latent patterns and extract meaningful insights from massive unlabeled data Develop rigorous experimental frameworks and evaluation methodologies to validate theoretical advances across dimensions of performance interpretability robustness and generalization in real-world cybersecurity contexts Collaborate with Engineering teams to translate research breakthroughs into practical deployable solutions Publish findings in top-tier academic journals and present at leading conferences to advance the field Create and file patents for novel methodologies and technologies developed during your research Engage with the broader research community to exchange ideas and stay current with cutting-edge developments Mentor junior researchers and foster a culture of scientific inquiry and innovation What You'll Need: PhD in Computer Science Statistics Mathematics or related field or equivalent research experience with 5+ years post-graduation experience in advanced machine learning research Strong theoretical foundation in machine learning fundamentals and statistical methods Proficiency with Python Deep Learning frameworks (TensorFlow PyTorch) and distributed computing environments Excellent scientific writing and communication skills for both technical and non-technical audiences Proven ability to conduct independent research while collaborating effectively in multidisciplinary teams Bonus Points: Demonstrated expertise in one or more specialized areas: mechanistic interpretability self-supervised learning representation learning or emerging AI paradigms Research leadership and scientific impact through publications in high-impact journals patents or deployed innovations Experience applying advanced ML techniques to cybersecurity challenges Experience designing and implementing novel machine learning architectures and algorithms Background in theoretical foundations such as information theory causal inference or theoretical computer science Expertise in robust AI approaches including adversarial machine learning multi-agent systems or emergent behaviors Experience with large-scale distributed training and optimization techniques Knowledge of privacy-preserving machine learning and differential privacy methods Familiarity with next-generation computing paradigms such as neuromorphic computing brain-inspired architectures or quantum machine learning Specialized knowledge in computational linguistics or graph neural networks for complex relational data Contributions to open-source machine learning projects or frameworks Please note: This role focuses on fundamental research that pushes beyond current AI paradigms to develop the next generation of explainable self-supervised learning systems for cybersecurity applications. Level of hire will be determined based on qualifications and experience.#LI-GT1#LI-JP2 #LI-Remote 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.

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 is seeking an experienced Senior Data Scientist to join our expanding Data Science team. In these roles you'll lead cutting-edge AI/ML research initiatives at the intersection of cybersecurity and advanced machine learning with a focus on mechanistic explainability self-supervised learning representation learning and innovations that extend beyond current generative AI capabilities. As part of our team you'll enjoy unique advantages that blend research depth with industry impact. You'll have access to vast proprietary datasets unavailable elsewhere significant GPU computing infrastructure capable of supporting our in-house LLM training initiatives and the opportunity to see your research directly impact real-world cybersecurity challenges. You'll be joining a team at the forefront of state-of-the-art generative AI solutions while also helping to define what comes next in AI innovation. We foster an environment that encourages publication in top-tier journals and conferences while also providing the satisfaction of seeing your innovations deployed at scale. Our diverse team includes professionals from varied backgrounds - from academia to professional services - united by a passion for advancing AI in cybersecurity. Whether your experience comes from research institutions consulting or industry roles we value your unique perspective. You'll work alongside fellow PhDs and experienced practitioners in a culture that values intellectual curiosity and breakthrough thinking. We also offer a robust patent incentivization program that rewards innovative thinking and intellectual property development. This inclusive environment makes CrowdStrike an ideal place for talented individuals from diverse professional backgrounds who share an interest in fundamental AI research and its practical applications. What You'll Do: Lead research initiatives in mechanistic explainability self-supervised learning and representation learning to advance fundamental AI capabilities for cybersecurity applications Develop novel machine learning architectures that move beyond current generative AI paradigms creating more robust transparent and efficient models for complex multimodal cybersecurity data Analyze diverse high-dimensional datasets to discover latent patterns and extract meaningful insights from massive unlabeled data Develop rigorous experimental frameworks and evaluation methodologies to validate theoretical advances across dimensions of performance interpretability robustness and generalization in real-world cybersecurity contexts Collaborate with Engineering teams to translate research breakthroughs into practical deployable solutions Publish findings in top-tier academic journals and present at leading conferences to advance the field Create and file patents for novel methodologies and technologies developed during your research Engage with the broader research community to exchange ideas and stay current with cutting-edge developments Mentor junior researchers and foster a culture of scientific inquiry and innovation What You'll Need: PhD in Computer Science Statistics Mathematics or related field or equivalent research experience with 5+ years post-graduation experience in advanced machine learning research Strong theoretical foundation in machine learning fundamentals and statistical methods Proficiency with Python Deep Learning frameworks (TensorFlow PyTorch) and distributed computing environments Excellent scientific writing and communication skills for both technical and non-technical audiences Proven ability to conduct independent research while collaborating effectively in multidisciplinary teams Bonus Points: Demonstrated expertise in one or more specialized areas: mechanistic interpretability self-supervised learning representation learning or emerging AI paradigms Research leadership and scientific impact through publications in high-impact journals patents or deployed innovations Experience applying advanced ML techniques to cybersecurity challenges Experience designing and implementing novel machine learning architectures and algorithms Background in theoretical foundations such as information theory causal inference or theoretical computer science Expertise in robust AI approaches including adversarial machine learning multi-agent systems or emergent behaviors Experience with large-scale distributed training and optimization techniques Knowledge of privacy-preserving machine learning and differential privacy methods Familiarity with next-generation computing paradigms such as neuromorphic computing brain-inspired architectures or quantum machine learning Specialized knowledge in computational linguistics or graph neural networks for complex relational data Contributions to open-source machine learning projects or frameworks Please note: This role focuses on fundamental research that pushes beyond current AI paradigms to develop the next generation of explainable self-supervised learning systems for cybersecurity applications. Level of hire will be determined based on qualifications and experience.#LI-GT1#LI-JP2 #LI-Remote 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.

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 RoleLLM Agents are an exciting new field giving LLMs more autonomy and tools to solve more complex and longer tasks. Building capable agents is both exciting and challenging as it lies at the intersection of post-training inference orchestration as well as UX design. During this internship you will work specifically on agents that can reason over data using code. This work will include the whole agent stack from preparing fine-tuning datasets training recipes and inference orchestration. You will leverage our compute CPU and H100 clusters for large scale processing and model training. Finally we’ll release the full recipe as well as the model serving as a foundation for the community to build on. Checkout hf.co/science for more information about the science team at Hugging Face.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 RoleLLM Agents are an exciting new field giving LLMs more autonomy and tools to solve more complex and longer tasks. Building capable agents is both exciting and challenging as it lies at the intersection of post-training inference orchestration as well as UX design. During this internship you will work specifically on agents that can reason over data using code. This work will include the whole agent stack from preparing fine-tuning datasets training recipes and inference orchestration. You will leverage our compute CPU and H100 clusters for large scale processing and model training. Finally we’ll release the full recipe as well as the model serving as a foundation for the community to build on. Checkout hf.co/science for more information about the science team at Hugging Face.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. ➡