Raydar · 1 day ago
Applied Scientist
San Francisco Bay Area
Full-time
Onsite
Mid, Senior Level
$200K/yr - $275K/yr
2+ years expRaydar is seeking an Applied Scientist (ML) to collaborate closely with product and engineering teams, utilizing cutting-edge ML research to enhance user interactions. The role involves driving impact across the entire ML lifecycle, including problem formulation, system analysis, and model deployment, while also providing opportunities to publish research and contribute to the ML community.
Management Consulting
Hiring Manager
Noah Kingsdale
Responsibilities
Formulate an ML problem from product requirements
Analyze existing ML systems for their limitations, and propose and validate novel methodologies to improve upon existing systems
Create and productionize cutting-edge research prototypes for knowledge work at scale
Build novel ML evaluation datasets that serve as crucial criteria for production feature rollouts
[Optionally] Mentor ML interns and publish your research findings with the community
Qualification
Required
PhD or Master's degree in Computer Science, Machine Learning, NLP, or a related field
Strong background in deep learning, large language models, and NLP techniques
A strong track record of first-author publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP)
Proficiency in Python and deep learning frameworks such as PyTorch or Transformers, and strong coding skills
Preferred
2+ years of experience in an industry applied ML research environment
Familiarity with retrieval-augmented generation, reasoning, LLM training and reinforcement learning techniques
Mentor ML interns and publish your research findings with the community
Company
Raydar
At Raydar we help innovative companies find the solutions they need to supercharge their growth.
2-10 employees
Funding
Current Stage
Early StageLeadership Team
David Phillips
Founder
Noah Kingsdale
Managing Partner
Company data provided by crunchbase