Senior Research Scientist

🕒 May 31

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Logo of adaption

adaption

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

adaption is a company building adaptive AI systems and tooling that continually learn and dynamically reshape data to personalize intelligence for specific users, languages, industries, and edge use cases. It offers products like Adaptive Data, Adaptive Intelligence, and Adaptive Interfaces to enable efficient, on-the-fly model adaptation and interfaces that reduce the need for manual prompting, positioning itself as an alternative to large monolithic models.

📋 Description

• Innovation: You have ideas and you move fast. You care about impact, not just effort. • Cross-Stack Optimization: You collaborate across software, hardware, and algorithmic domains to unlock system-wide efficiency gains. • Measure What Matters: The ultimate signal of value is real-world impact. Our current algorithms are capable of interacting with the world which is why product thinking is inseparable from research.

🎯 Requirements

• A PhD or equivalent research experience in a computer science field • 4-5+ years of industry experience • Publishing record at ICML, NeurIPS, ACL, ICLR, EMNLP. • 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

🏖️ Benefits

• Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team 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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