Machine Learning Engineer - AI Coding Agents & LLM Infrastructure

A bit about us:

Tabnine is redefining how software gets built. Trusted by over 1M+ developers, we build AI-first developer experiences powered by state-of-the-art coding agents and code reasoning models. With support for 30+ programming languages and 15+ IDEs, our platform is pushing the limits of LLM-based software engineering - enabling teams to design, write, review, and ship code faster than ever. We’re committed to advancing code-native AI models, multi-agent systems, agent orchestration frameworks, memory, and autonomous dev tooling to empower developers at every step of the software lifecycle.

We’re growing fast, and our team is passionate about pushing AI engineering to new heights - solving complex problems in LLM training, inference optimization, reasoning, and agent orchestration at scale.

About the Role:

As a Machine Learning Engineer, you’ll work on cutting-edge code-focused LLMs and AI agent systems that power Tabnine’s next-generation developer platform. You’ll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.

Requirements:

• 2+ years of hands-on experience designing, training, and deploying machine-learning models
• M.Sc. or higher in Computer Science / Mathematics / Statistics or equivalent from a university, or B.Sc. with strong hands-on ML experience
• Practical experience with Natural Language Processing (NLP) and LLMs
• Experience with data acquisition, data cleaning, and data pipelines
• A passion for building products and helping people, both customers and colleagues
• All-around team player, fast, self-learning individual