Together AI is looking for an MLOps 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.

Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks. Requirements 5+ years experience working on a production level ML training or inference system. Bachelor’s degree in computer science or equivalent industry experience. Strong understanding of the state of the art in machine learning especially LLMs. Experience with DevOps practices like CI/CD, automation, containerization (Docker), and orchestration (Kubernetes). Proficiency in cloud platforms like AWS, Google Cloud, or Azure. Expertise in programming (Python, go, etc.) and frameworks for ML (TensorFlow, PyTorch, Scikit-learn). Responsibilities Work closely with engineering, research, and sales on deploying, evaluating, and operating inference systems for both customers and internal use. Build and maintain tools, services, and documentation for automation and testing. Analyze and improve efficiency, scalability, and stability of various system resources. Conduct design and code reviews. 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 are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation 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 - $240,000 + 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 opportunity 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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