| Description | J-VERS is a programmatic job advertising agency that helps employers find the right candidates in any industry by optimizing the hiring process. Founded in 2023 the company has grown 5x building a fully remote team that serves over 150 enterprise clients across the US and EU through AI-powered advertising technology. About the product - We are an innovative programmatic job advertising startup building intelligent solutions that optimize recruitment marketing campaigns. Our mission is to leverage cutting-edge machine learning and AI to maximize campaign efficiency and improve hiring outcomes at scale. We've recently finished the MVP stage and are now scaling the product. A great chance to join a small startup team (CTO 4 Developers QA Developer DevOps Engineer and Product Owner) and have a real impact on its development Technical stack: Python 3.11+ FastAPI Postgres Kafka Kubernetes TypeScript React AWS. What You'll Be Doing: - Design build test and deploy ML models that automate and optimize campaign performance Develop and maintain scalable ML pipelines ensuring reliability and performance in production Integrate LLMs into our existing platform to enable intelligent features such as CV pre-screening and automated marketing content generation Research design and adapt ML algorithms to address business-specific challenges in recruitment advertising Collaborate with product and engineering teams to integrate AI services into production systems Experiment with reinforcement learning approaches to dynamically tune and optimize campaign performance Continuously improve models and pipelines with monitoring retraining and evaluation workflows. ### Your Skills: Strong background in Python and ML libraries (TensorFlow or PyTorch Scikit-learn pandas) Hands-on experience with classic ML algorithms (classification regression clustering) as well as deep learning architectures Familiarity with LLMs prompt engineering Experience building production-ready ML pipelines Strong skills in Docker and AWS for deployment and scaling Knowledge of reinforcement learning techniques (advantage) Ability to conduct applied research and adapt state-of-the-art models to real-world problems Strong problem-solving and communication skills comfortable working in a fast-moving startup environment. ### Will be a plus: NLP fundamentals Knowledge of MLOps frameworks (e.g. MLflow Kubeflow SageMaker). ### Key Projects You'll Work On: LLM-powered CV prescreening service to automate candidate shortlisting Automated marketing campaign generator Reinforcement learning engine to dynamically optimize campaign spend and performance in real time. You'll thrive at J-Vers if you: - Self-motivated and comfortable with autonomy Passionate about using technology to solve real problems Open to collaboration and knowledge sharing Results-oriented and focused on impact Curious and committed to continuous learning. Why Join Us: Work Without Limits: Remote-first team with no location limits Flexible 8-hour workday Flat structure with direct access to leadership Full set of equipment provided for your comfortable work. Get Rewarded & Supported: Competitive compensation with transparent salary bands Health insurance after 3 months of work Mental health support 24 vacation days + 20 paid sick days + 4 no-doc sick days + company-wide one-week break at year-end. Endless Opportunities to Grow: Personal learning budget for professional development Clear growth paths from Junior to Senior Work with global clients (US & EU) Culture of feedback mentorship and constant learning. Hiring Process: - Intro call with a recruiter Values-based interview Technical interview Final interview with CTO Recommendation At J-Vers you're not just filling a job — you're joining a mission. We're building something extraordinary where technology and humanity combine to transform hiring. Flex your skills. Expand your impact. Shape the future of global hiring. Read more about us on Happy Monday (https://happymonday.ua/company/j-vers) |