Machine Learning Engineer - Inference
- Salary
- $200,000 - $300,000
- Level
- Mid
Not stated in the posting: work type, visa.
Open. First seen 2 October 2026.
About the role
About the Role
Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, PyTorch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions. Join us in shaping the future at Together AI!
Responsibilities
- Design and build the production systems that power the Together AI inference engine, enabling reliability and performance at scale.
- Develop and optimize runtime inference services for large-scale AI applications.
- Collaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.
- Conduct design and code reviews to ensure high standards of quality.
- Create services, tools, and developer documentation to support the inference engine.
- Implement robust and fault-tolerant systems for data ingestion and processing.
Requirements
- 3+ years of experience writing high-performance, well-tested, production-quality code.
- Proficiency with Python and PyTorch.
- Demonstrated experience in building high performance libraries and tooling.
- Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale.
- Preferred: Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, Optimum
- Preferred: Knowledge of AI inference techniques such as speculative decoding.
- Preferred: Knowledge of CUDA/Triton programming.
- Nice to have: Knowledge of Rust, Cython and compilers.
Together AI's standard text
About Together AI
Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
Compensation
We offer competitive compensation, startup equity, health insurance, and other competitive benefits. The US base salary range for this full-time position is $200,000 - $300,000 + equity + benefits. Our salary ranges are determined by location, level, and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunities to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Together AI's standard text
Please see our privacy policy at https://www.together.ai/privacy
What this role asks for
Particular to this role
Rust
Rare in Together AI's other 54 open postings.
Standard for data science / ML roles
LLM · Machine Learning · PyTorch · Python
Common in data science / ML postings at any company.
In most of Together AI's ads
Salesforce
Named in most of its open postings, whatever the role.
81% of this description is written for the role. The rest is Together AI's standard text, folded away below.
Compared with Together AI's other open jobs.
The team: Research
This role is one of 7 open in Research.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (7 of 7), Salesforce (7 of 7), CUDA (6 of 7), Python (4 of 7), NLP (3 of 7), Golang (2 of 7), Kubernetes (2 of 7)
OTHER ROLES ON THIS TEAM
- Systems Research Engineer Intern - GPU Programming (Winter 2027) posted Sep 18
- Systems Research Engineer Intern - GPU Programming (Summer 2027) posted Sep 18
- Research Engineer, Large-Scale Training posted Jul 30
- Research Engineer, Post-Training Inference posted Jul 6
- Platform Engineer, Model Shaping posted Jul 16
- Systems Research Engineer, GPU Programming posted Jan 16
From the team and dates on Together AI's own job board.
See Machine Learning Engineer salaries in San Francisco →
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