Machine Learning Engineer - Inference
Together AI
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This role on the market
132 open inference roles across 35 companies are on ApplySarthi right now, most of them in Bengaluru (3), Delhi NCR (2).
- Staff + Sr. Software Engineer, Cloud InferenceAnthropic
- Senior Software Engineer - AI Inference PerformanceNvidia
- Senior Machine Learning Engineer, LLM Inference OptimizationNebius
- Staff Software Engineer, InferenceCoreweaveu
- Member of Technical Staff – AI Inference platform, featuresLyceum
What inference roles keep asking for: LLMs (52%), Python (52%), Machine learning (37%), PyTorch (28%), System design (27%), Kubernetes (24%), AWS (23%), Observability (22%) — counted across their open postings here.
Machine Learning Engineer jobs in the United States · Machine Learning Engineer jobs in San Francisco · Remote Machine Learning Engineer jobs · LLMs jobs · Machine learning jobs · PyTorch jobs · Python jobs
Together AI has 78 open roles listed here.
- Senior Recruiter, GTM & Business
- Staff Software Engineer - AI Compute, Together Cloud
- Research Intern, Frontier Agents (Summer 2027)
- Research Intern, Frontier Agents (Winter 2027)
- Research Intern, Inference (Summer 2027)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for inference roles keep coming back to LLMs, Python, Machine learning, PyTorch. Practise those questions before you sit with Together AI.
Questions you are likely to be asked
- Why do you want to join Together AI?
- What is your experience with PyTorch? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Machine Learning Engineer - Inference at Together AI interview free →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
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Listed on greenhouse · posted 2024-06-06. ApplySarthi collects openings and links to application pages; the role is advertised by Together AI, not by us.