Machine Learning Research Scientist at fast-growing AI research startup
About The Position
As a Machine Learning Research Scientist, you will drive the development of next-generation AI models at a well-funded startup in the heart of San Francisco. You will lead groundbreaking research initiatives, translate complex theoretical concepts into scalable production code, and collaborate with a world-class team to push the boundaries of what is possible in machine intelligence. Why this role is remarkable: Opportunity to work on bleeding-edge AI research that directly impacts the core product roadmap Backed by top-tier VCs in an environment that prioritizes technical excellence and rapid experimentation Join a high-caliber team of researchers and engineers from leading global technology institutions
Requirements
- PhD or equivalent research experience in Computer Science, Mathematics, or a related quantitative field
- Proven track record of publishing at top-tier AI conferences such as NeurIPS, ICML, or ICLR
- Proficiency in deep learning frameworks like PyTorch or TensorFlow and strong software engineering fundamentals
Responsibilities
- Design and implement novel machine learning architectures to solve complex, high-dimensional data challenges
- Conduct rigorous experiments to validate model performance and ensure robustness in real-world applications
- Collaborate with engineering teams to integrate research breakthroughs into a scalable software ecosystem
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
