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Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Lead the development and optimization of Large Language Models and Mixture of Experts models.
- Collaborate with cross-functional teams to integrate ML models into our platform.
- Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs.
- Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies.
- Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.
Requirements
What you’ll need- Advanced degree (Ph.D. preferred) in Computer Science, or a related field.
- Proven track record of building and innovations through publications or industry experience.
- Minimum of 6 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts.
- Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch.
- Demonstrated ability to lead complex projects and work collaboratively in a team environment.
- Excellent problem-solving skills and a passion for innovation.
Benefits
Comp & perks- Competitive salary
- Comprehensive health, dental, and vision benefits package
- 401(k) match
- Equity options
- $200/month Health & Wellness stipend
- Continuing Education support
- $500/year Function Health subscription
- Free parking for in-office employees
- Flexible Time Off (FTO)
- Parental leave for eligible employees
- Supplemental life insurance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningModel OptimizationResearch in AIPerformance ImprovementProject Leadership
Soft Skills
CollaborationProblem-SolvingMentoringKnowledge Sharing
Certifications
Ph.D. in Computer Science