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Together AITA

Machine Learning Engineer

Together AI is a leading research-driven artificial intelligence company specializing in scalable AI solutions for organizations.

Together AI

Employee count: 51-200

Salary: 160k-220k USD

United States only

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Together AI is looking for an ML 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.

Requirements

  • 5+ years experience writing high-performance, well-tested, production quality code
  • Bachelor’s degree in computer science or equivalent industry experience
  • Familiar with LLM inference ecosystem, including frameworks and engines (e.g. vLLM, SGLang, TRT, ...)
  • Demonstrated experience in building large scale, fault tolerant, distributed systems like storage, search, and computation
  • Expert level programmer in one or more of Python, Go, Rust, or C/C++
  • Experience implementing runtime inference services at scale or similar

Responsibilities

  • Design and build the production systems that power the Together Cloud inference and fine-tuning APIs, enabling reliability and performance at scale
  • Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world
  • Analyze and improve efficiency, scalability, and stability of various system resources
  • Conduct design and code reviews
  • Create testing frameworks for robustness and fault-tolerance
  • 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 - $220,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

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.

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Full Time

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Salary

Salary: 160k-220k USD

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United States +/- 0 hours

About Together AI

Learn more about Together AI and their company culture.

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At Together AI, we are redefining the artificial intelligence landscape with our research-driven approach and commitment to open-source innovation. Our enterprise platform provides developers and researchers with the tools they need to seamlessly train, fine-tune, and deploy generative AI models at scale. We understand that access to powerful and flexible AI solutions is crucial for businesses to thrive. Therefore, we empower organizations of all sizes, enabling them to leverage pre-trained models or build custom models from the ground up.

Our decentralized cloud services prioritize transparency and ownership, allowing users to maintain control over the models they develop. By engaging with our platform, organizations can harness advanced features like serverless or dedicated endpoints, customized fine-tuning, and compliance with security standards such as SOC 2 and HIPAA. This holistic approach not only facilitates rapid deployment but also ensures that sensitive data is protected. We believe that the future of AI lies in open-source collaboration, which is why we actively contribute leading models and datasets to advance the frontier of AI.

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