Machine Learning Engineer - Inference

Together AI • San Francisco, CA

51d • $160,000 - $230,000

About The Position

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!

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.

Nice To Haves

• Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, Optimum
• Knowledge of AI inference techniques such as speculative decoding.
• Knowledge of CUDA/Triton programming.
• Knowledge of Rust, Cython and compilers.

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.

Benefits

• We offer competitive compensation, startup equity, health insurance, and other competitive benefits.
• The US base salary range for this full-time position is $160,000 - $230,000 + equity + benefits.
• Our salary ranges are determined by location, level, and role.
• Individual compensation will be determined by experience, skills, and job-related knowledge.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees