This range is provided by Strativ Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range
$200,000.00/yr - $350,000.00/yrOur client - one of the most ambitious AI research labs in the world - is hiring Research Scientists! With offices in
San Francisco and New York City , this team is pushing the boundaries of
foundation models, large language models (LLMs), and multimodal AI . If you want to work on
SOTA
architectures that redefine what's possible in
self-supervised learning, scaling laws, and next-gen inference techniques , this is where you belong.Why Join?World-Class Research
- Work alongside AI pioneers from the most elite institutions and industry labs.Massive Compute
- Unparalleled access to cutting-edge infrastructure, including custom-built clusters designed for
LLM-scale training .Open-ended Discovery
- No incremental projects here - this is about making fundamental advances in
deep learning, representation learning, and generative models .Real-World Impact
- Your work won’t sit in a paper; it will be deployed in groundbreaking AI systems used globally.Who We're Looking For:We’re seeking
top-tier research scientists
with a passion for foundational AI research and a track record of publishing at premier venues like
NeurIPS, ICML, and ICLR . Seniority is
irrelevant
- we care about
brilliant minds
who push the frontier forward.Qualifications:Proven research in
deep learning ,
generative models , or
large-scale representation learningPublications at top AI conferences ( NeurIPS, ICML, ICLR , or equivalent)Experience training or
designing LLMs ,
diffusion models , or
self-supervised learning architecturesFluency in
PyTorch/JAX
+ strong background in distributed training & scaling techniquesCurious, relentless, and obsessed with first-principles AI researchLocations:San Francisco
- The AI capital, home to cutting-edge research & compute powerNew York City
- A vibrant hub for AI innovation and research collaborationPackage:Salary
up to $350,000K
+ benefits and equity options.Ready to shape the future of AI?
Apply now and join a team redefining intelligence.Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
Research, Science, and EngineeringIndustries
Research Services and Technology, Information and Media
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