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.
