Research Scientist
adaption · Remote · United States · New York · United Kingdom · Mexico · France · India · Ireland · Germany · Netherlands · Brazil · Argentina · Canada ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- PhD or equivalent required
- Python + PyTorch/JAX
- Fully remote global
- Bay Area collaboration
- Travel stipend included
Join a research team dedicated to building efficient intelligence that evolves in real-time. You will work on gradient-free exploration, real-time learning, and interface design to make AI systems flexible and personalized. The role emphasizes co-designing algorithms with product signals to drive tangible user impact.
What you'll do
- Innovate on products by co-designing algorithms that react to real-time feedback
- Design new feedback mechanisms to drive algorithmic improvements
- Collaborate across software, hardware, and algorithmic domains for efficiency
- Achieve system-wide optimization through cross-stack collaboration
- Focus research efforts on metrics that demonstrate real-world product impact
What you'll need
- Hold a PhD or equivalent research experience in computer science
- Possess 4-5+ years of industry experience
- Have deep expertise in model efficiency, real-time alignment, or optimization
- Demonstrate systems thinking to optimize across the full ML stack
- Show strong programming skills in Python and deep learning frameworks
- Understand model optimization techniques like RLHF and finetuning
- Have prior experience in an industry lab with computing at scale
Stack
- Python
- PyTorch
- JAX
- TensorFlow
How you'll work
- Distributed global-first team structure
- In-person collaboration available in the Bay Area
- Regular team offsites for connection
What you get
- Annual travel stipend for exploring new countries
- Weekly meal allowance for take-out or groceries
- Comprehensive medical benefits package
- Generous paid time off policy