We're looking for an ML research-focused software engineer to join us on our mission to build AI superpowers for developers.

About Codeium

Featured on the Forbes AI 50 list, Codeium has risen to become a leader in the AI developer tools space in just over a year, giving hundreds of thousands of users around the world code autocomplete, in-editor chat assistants, and more. our IDE extensions span 70+ programming languages and 40+ editors. Our state-of-the-art proprietary language models and custom inference stack allow us to deliver the best experience possible to our users. We've achieved substantial revenue and enterprise traction as proof of the quality and usefulness of our tools.

We're one of the fastest growing AI startups, focused on product, revenue, and customer experience. We work hard, and we operate with a high degree of trust, agency, and ownership.

What you'll do

Train and fine-tune large language models
Navigate high levels of uncertainty and prioritize high-value ML experiments to maximize product impact
Demonstrate initiative and the ability to start and make progress on projects independently
Swiftly design, track, and analyze experiments results. Meticulously document findings, conduct ablation studies, and synthesize data into actionable insights.
Participate in the ML reading group and level up the team's knowledge of LLM training and infrastructure

About you

Strong software engineering skills. There are no pure research scientists at the company.
Strong grasp of the feasibility frontier of CS, AI, and LLMs, from H100 bandwidth to GPT-4 capabilities to vector database performance.
Deep curiosity about the code generation problem. Willingness to constantly re-examine priors in the face of new discoveries.
Skilled in transforming successful experimental outcomes into robust, scalable features for the core product offering
Experience training and iterating on large production neural networks in any domain (self-driving, language models, etc.) is a strong plus
Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others is a strong plus

What we believe

Our best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station).
Research is in service of a better product. While we read many papers, we won't have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical.

Recent projects

Some of the things that our research-focused software engineers have worked on recently

Regularly deploying an autocomplete and chat product that scales to hundreds of thousands of daily active users.
Instruction and edit fine-tuned models for Codeium Command.
Realtime context retrieval
Codebase fine-tuning

Software Engineer, ML Research

Submit your application