Machine Learning Engineer
Together AI - San Francisco
Posted Jan 17, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $160K-$220K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
63% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Machine Learning Engineer San Francisco About the Role Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the largest LLMs. Requirements - 5+ years experience writing high-performance, well-tested, production quality code - Bachelor's degree in computer science or equivalent industry experience - Familiar with LLM inference ecosystem, including frameworks and engines (e.g. vLLM, SGLang, TRT, ...) - Demonstrated experience in building large scale, fault tolerant, distributed systems like storage, search, and computation - Expert level programmer in one or more of Python, Go, Rust, or C/C++ - Experience implementing runtime inference services at scale or similar Responsibilities - Design and build the production systems that power the Together Cloud inference and fine-tuning APIs, enabling reliability and performance at scale - Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world - Analyze and improve efficiency, scalability, and stability of various system resources - Conduct design and code reviews - Create services, tools & developer documentation - Create testing frameworks for robustness and fault-tolerance - Participate in an on-call rotation to respond to critical incidents as needed About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we
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