3 days ago
🏢 In-office - Bay Area
• Conduct research investigating how training data can improve deep learning models. • Transform messy literature into practical improvements. • Conduct science driven by real-world needs. • Collaborate closely with engineers and shape product vision. • Pursue research problems with autonomy.
• Strong understanding of the fundamentals of deep learning. • Sufficient software engineering + deep learning framework (PyTorch or a willingness to learn PyTorch) skills to conduct large-scale research experiments and build production prototypes. • Demonstrated track record of success in deep learning research, whether papers, tools, or other research artifacts. • Experience with data management and distributed data processing solutions (e.g. Spark, Snowflake, etc.) • Experience building + shipping ML products.
• 100% covered health benefits (medical, vision, and dental). • 401(k) plan with a generous 4% company match. • Unlimited paid time off (PTO) policy. • Annual $2,000 wellness stipend. • Annual $1,000 learning and development stipend. • Daily lunches and snacks are provided in our office! • Relocation assistance for employees moving to the Bay Area.
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