Machine Learning Engineer
Apiphany
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Tech Stack
About the role
- Develop and implement advanced machine learning models to tackle some of the hardest problems in the physical world.
- Design systems that can reason about complex engineering data and build AI that understands physics, design constraints, and real-world performance tradeoffs.
Requirements
- Expert-level programming skills in Python
- Solid understanding of deep learning and its applications in natural language processing (NLP)
- Deep understanding of large language models (LLMs)
- Exceptional problem-solving skills and a passion for pushing the boundaries of AI technology.
- Bonus Skills: Background in competitive programming.
- Contributions to open-source initiatives.
- Startup mindset: bias toward action, rapid iteration, and ownership
- Mission-driven and customer-obsessed
- Self-motivated, collaborative, and eager to raise the bar for the whole team
- Passion for building in a fast-paced, hyper-growth startup environment.
Benefits
- Visa Sponsorship
- Hybrid work: 3 days in San Francisco office
- 401(k) plan
- Medical, Dental, and Vision insurance coverage
- Snacks at the office
- Paid Time Off (PTO): Flexible vacation policy
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythondeep learningnatural language processinglarge language modelsmachine learning modelsengineering data analysis
Soft Skills
problem-solvingcollaborationself-motivationcustomer obsessionstartup mindsetownershiprapid iterationmission-driven