Research Scientist

adaption

5d

About The Position

This research role focuses on real-world impact and developing flexible, adaptable, and accessible AI systems through greater efficiency. The research areas include efficient intelligence, gradient-free exploration, real-time learning, interface design, and optimizing synthetic data toward desirable properties and broader data coverage. The role emphasizes designing algorithms that interact with the world and co-designing serving, algorithms, and interfaces as an integrated system.

The team values technical excellence, urgency, direct and low-ego collaboration, and research ideas validated through working products and their effect on users. Researchers are expected to work across the full machine-learning stack and contribute to product innovation rather than optimizing for publication count.

Requirements

• A PhD or equivalent research experience in a computer science field.
• 4–5 or more years of industry experience.
• 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 machine-learning stack.
• Strong programming skills in Python.
• Knowledge of model optimization techniques such as RLHF and fine-tuning.
• Experience in an industry lab working with computing at scale.

Nice To Haves

• Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow.

Responsibilities

• Innovate on the product by co-designing algorithms that react in real time to product signals and feedback.
• Design new ways of collecting or providing feedback that improve algorithms.
• Collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains.
• Measure research value by its real-world impact and whether it improves what users can do.

Benefits

• Annual travel allowance to visit a country the employee has not previously visited.
• Weekly allowance for takeout or grocery delivery.
• High-quality medical coverage and benefits supporting health and well-being.
• Team offsites and visits to the San Francisco headquarters.
• Spot bonuses, team dinners, spontaneous gifts, and company-wide recognition to celebrate milestones and extraordinary effort.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree