--- title: 'Machine Learning Engineer - Inference at Together AI' canonical: 'https://feeny.ai/job/machine-learning-engineer-inference-together-ai-san-francisco-8j7mnv6c8eah' type: 'job' last_seen: '2026-09-11' --- # Machine Learning Engineer - Inference at Together AI - **Company:** Together AI - **Location:** San Francisco, CA - **Posted:** 2024-06-06 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/togetherai/jobs/4385540007 ## Job description ## 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. ## 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. Please see our privacy policy at https://www.together.ai/privacy ## About Together AI ## Company Overview - **One-liner**: Together AI is the AI Native Cloud, a full-stack platform for production AI that provides inference, fine-tuning, and GPU compute powered by cutting-edge systems research. - **Entity Type**: Private (Series C) - **Headquarters**: San Francisco, California, United States - **Founded**: 2022 - **Founders**: Vipul Ved Prakash (CEO), Ce Zhang (CTO), Tri Dao (Chief Scientist), Chris Ré, Percy Liang ## Core Business - **Primary industry**: AI Infrastructure / Cloud Computing - **Target customers**: B2B – AI-native startups (e.g., Cursor, Decagon, Eleven Labs), enterprise SaaS (Salesforce, Zoom, Zomato), and AI researchers. - **Mission**: “Significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models” — with a commitment to open and transparent AI development. ## Products & Services - **Serverless Inference**: Fast on-demand inference for open-source models with no infrastructure management. - **Batch Inference**: Asynchronous processing of massive workloads (up to 30B tokens per model) at reduced cost. - **Dedicated Model Inference**: Deploy models on dedicated GPU infrastructure for speed and control. - **Dedicated Container Inference**: GPU infrastructure optimized for generative media (video, audio, image). - **Fine-Tuning**: Fine-tune open-source models using latest research techniques (improves accuracy, reduces hallucinations). - **Accelerated Compute**: Self-serve instant clusters to thousands of GPUs, optimized with Together Kernel Collection. - **Model Shaping**: Tools to accelerate inference, model shaping, and pre-training. - **Managed Storage**: High-performance object storage and parallel filesystems with zero egress fees. - **Sandbox**: Fast, secure code sandboxes for AI app/agent development environments. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed; recent Series C reportedly doubled valuation (amount undisclosed) [cbinsights.com](https://www.cbinsights.com/company/together-4) - **Key Metric**: **Total Funding** – $1.334B (including $800M Series C announced in mid-2026) [cbinsights.com](https://www.cbinsights.com/company/together-4) - **Notable Investors/Partners**: Kleiner Perkins, NVIDIA, Salesforce Ventures, Prosperity7 Ventures (Aramco), and 29+ others across rounds. - **Growth Signals**: - Headcount grew 91% YoY to ~280 employees [linkedin.com](https://www.linkedin.com/company/togethercomputer) - Acquired CodeSandbox (Dec 2024) and Refuel.AI (May 2025) - Customers include Cursor, Decagon, Eleven Labs, AI21, Hedra, Cartesia, Salesforce, Zoom, Zomato - Published nine papers at ICML 2026; open-sourced ParallelKernelBench ## Competitive Advantages - **Full-stack AI platform** covering inference, fine-tuning, compute, storage, and sandboxes — all integrated. - **World-class research team** co-designing algorithms, kernels, and hardware (e.g., Tri Dao, co-inventor of FlashAttention). - **Open-source commitment** and contributions (models, datasets, research) build developer trust and ecosystem lock-in. - **Cost performance**: Claims 2x faster inference and 60% lower cost vs. alternatives through research-driven optimizations. ## Strategic Focus - Accelerate the shift to open-source AI by making it economically viable at scale. - Continue investing in systems research (GPU programming, kernel optimization, model shaping) to improve performance and cost. - Expand enterprise adoption through dedicated deployments and partnerships. - Grow the platform’s capabilities (e.g., managed storage, sandboxes) to reduce friction for AI-native builders. ## Why Work Here - **Culture**: Values include “Do more with less,” “Open and responsible development,” “Empower innovation,” and “Optimizers” — a research-driven, mission-oriented environment. - **Remote/Hybrid/Office**: Primarily office-based in San Francisco (251 Rhode Island Street) with employees across 16 countries. Office perks include lunch, dinner, snacks, parking/transit stipends, and relocation support. - **Benefits**: Competitive salary and equity, 401K matching, health/dental/vision insurance, flexible PTO, generous parental leave, life and disability protection. - **Engineering Culture**: Deep focus on systems research and open-source; engineers work alongside leading AI researchers (e.g., Tri Dao, Ce Zhang). Talent sourced from Apple, Google, Amazon, NVIDIA, Stanford AI Lab. - **Career Growth**: 53 active job postings (as of mid-2026); roles span ML engineering, platform engineering, research, and go-to-market. High growth trajectory offers rapid advancement. ## Sources 1. [together.ai/about-us](https://www.together.ai/about-us) 2. [together.ai/](https://www.together.ai/) 3. [together.ai/careers](https://www.together.ai/careers) 4. [linkedin.com/company/togethercomputer](https://www.linkedin.com/company/togethercomputer) 5. [cbinsights.com/company/together-4](https://www.cbinsights.com/company/together-4) ## Other roles at Together AI - [Staff Engineer, Distributed Storage and HPC & AI Infrastructure](https://feeny.ai/job/staff-engineer-distributed-storage-and-hpc-ai-infrastructure-together-ai-qmwmf2cw8b8j) — Bengaluru, India - [Senior ABM & Campaign Manager](https://feeny.ai/job/senior-abm-campaign-manager-together-ai-san-francisco-b4m47ckm79bn) — San Francisco, CA - [Technical Support Engineer - India](https://feeny.ai/job/technical-support-engineer-india-together-ai-pune-or-bangalore-mwn804cwswws) — Pune OR Bangalore, India - [Senior Software Engineer — Infra Agent Systems](https://feeny.ai/job/senior-software-engineer-infra-agent-systems-together-ai-san-francisco-xc82f200r1ws) — San Francisco, CA - [Senior ABM & Campaign Manager](https://feeny.ai/job/senior-abm-campaign-manager-together-ai-san-francisco-zc1zxaar2h1f) — San Francisco, CA - [Senior Software Engineer — Infra Agent Systems](https://feeny.ai/job/senior-software-engineer-infra-agent-systems-together-ai-amsterdam-0kn67tn8tkvp) — Amsterdam, Netherlands - [Senior Software Engineer — Infra Agent Systems UK](https://feeny.ai/job/senior-software-engineer-infra-agent-systems-uk-together-ai-london-bxf797ge7pxk) — London, United Kingdom - [Senior Software Engineer — Infra Agent Systems Remote India](https://feeny.ai/job/senior-software-engineer-infra-agent-systems-remote-india-together-ai-india-4y1jwwt42nqs) — India - [HR Coordinator- Amsterdam](https://feeny.ai/job/hr-coordinator-amsterdam-together-ai-amsterdam-e41wg9k2gakq) — Amsterdam, Netherlands - [Staff Software Engineer, Inference / Compute Infrastructure Engineering](https://feeny.ai/job/staff-software-engineer-inference-compute-infrastructure-engineering-together-5j8djmf3gdbk) — London, United Kingdom