Software Engineer, ML Research
June 3
🏢 In-office - Bay Area
Description
• 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
Requirements
• 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
Benefits
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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