adaption - Research Scientist / Research Engineer
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Requirements
• A PhD or equivalent research experience in a computer science field • Deep expertise in at least one area: model efficiency, real time alignment or algorithmic optimization • Systems thinking ability to understand and optimize across the full ML stack • Strong programming skills in Python. Experience with deep learning frameworks (PyTorch, JAX, TensorFlow) • Knowledge of model optimization techniques (RLHF, finetuning) • Experience in an industry lab with computing at scale • Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
Responsibilities
• Innovation: innovate on our product to co-design algorithms that react real-time to product signal and feedback. Design new ways of giving feedback that drive better algorithms. • Cross-Stack Optimization: Collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains • Measure what matters: We believe strongly that the ultimate signal of value is whether we have real world impact. Our current algorithms are capable of interacting with the world which is why product matters so much.
Benefits
• Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and quarterly offsites. • Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons. • Lunch Stipend: Weekly meal allowance for take-out or grocery delivery. • Well-Being: Comprehensive medical benefits and generous paid time off.
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