adaption · 1 day ago
Efficiency Research Engineer
United States
Full-time
Remote
Senior LevelAdaption is a company focused on building efficient intelligence that evolves in real-time. The Efficiency Research Engineer will lead innovation in real-time adaptation, collaborate across software, hardware, and algorithm domains, and explore new research directions in efficient machine learning.
Computer Software
Responsibilities
Innovation: lead our focused bets on real time adaptation, which include innovating on algorithmic recipes which result in large real time gains
Cross-Stack Optimization: collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains
Research & Development: explore new research directions in efficient machine learning, alignment, inference time scaling and adaptable systems. We will have a focus on gradient free techniques which produce large performance gains, as well as data efficient techniques which allow for rapid alignment and adaptation
Qualification
Required
Deep expertise in at least one area: model efficiency, distributed systems, hardware acceleration, 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 and/or fast-paced startup environment
Preferred
PhD in computer science
Experience with algorithm design
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.
Company
adaption
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase