Remote Jobs at Anyscale

Platform for scaling AI workloads

San Francisco, California, United States

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San Francisco +1 more

Distributed LLM Inference Engineer

Anyscale

Candidates should have familiarity with running ML inference at large scale with high throughput and low latency, and a solid understanding of distributed systems and ML inference challenges. Familiarity with deep learning and deep learning frameworks like PyTorch is also required. Bonus points include ML Systems knowledge, experience using Ray, working closely with the community on LLM engines like vLLM or TensorRT-LLM, and contributions to deep learning frameworks or compilers.

  • Compensation icon$170,100 - $247,000/year
  • Employment type iconFull Time
  • Experience level iconJunior (1 to 2 years)
Remote
Remote iconRemote

Member of Technical Staff, Field Eng

Anyscale

Candidates should have 5+ years of pre- and post-sales experience as a sales engineer, solutions engineer, architect, customer success engineer/manager, or consultant. Strong technical skills including Python fundamentals are required, along with experience in enterprise SaaS, infrastructure, open source, and/or ML/AI technologies. Experience with public cloud and enterprise infrastructure, along with a customer success orientation and the ability to demonstrate technical concepts to diverse aud…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years), Senior (5 to 8 years)
San Francisco +2 more
Remote iconRemote

Account Executive - High Tech

Anyscale

Candidates should have at least 3 years of full-cycle sales experience selling software or cloud-based applications, with an emphasis on ML, cloud, and SaaS. A proven track record of driving consistent activity, pipeline development, and quota achievement is required. Experience in determining customer requirements and presenting appropriate solutions, along with excellent verbal and written communication, presentation, and relationship management skills, are essential. The ability to thrive in …

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconSenior (5 to 8 years), Expert & Leadership (9+ years)
Singapore
Remote iconRemote

Enterprise Account Executive

Anyscale

Candidates must have over 5 years of full-cycle sales experience selling software or cloud-based applications, with an emphasis on ML, cloud, and SaaS. A proven track record of driving consistent activity, pipeline development, and quota achievement is essential. The ideal candidate will be a proactive, independent thinker with high energy and a positive attitude, possessing excellent verbal and written communication, presentation, and relationship management skills. Familiarity with a solution-…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconExpert & Leadership (9+ years)
San Francisco +2 more
Remote iconRemote

Regional Sales Director

Anyscale

Candidates should have proven experience as a Sales Director, Regional Manager, or similar leadership role with a track record of exceeding sales targets. Industry experience selling to ML engineers, data scientists, or data engineers is required, along with strong leadership, communication, and interpersonal skills. Proficiency with CRM software and sales analytics tools, as well as strong negotiation and closing skills, are also necessary. Experience building and managing high-performing teams…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconExpert & Leadership (9+ years)
Bengaluru +1 more
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Technical Services Engineer

Anyscale

Candidates should have over 5 years of experience in a customer-facing technical role, with at least 2 years in a startup environment. Proficiency in container orchestration platforms like Kubernetes and infrastructure as code tools such as Terraform is required, along with hands-on experience with major cloud platforms (AWS, GCP, or Azure) and knowledge of observability tools like Grafana. Excellent communication, interpersonal skills, strong ownership, self-motivation, and a willingness to lea…

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years), Senior (5 to 8 years)
San Francisco +1 more

Senior Manager, People

Anyscale

Candidates must have 5+ years of total HR experience, including at least 3 years as an HR Business Partner and 1+ year in HR operations. Experience in fast-paced tech or startup environments is required, along with the ability to be both strategic and hands-on. Strong skills in relationship building, influencing without authority, earning trust, and using data to guide decisions are essential. The ideal candidate is energized by ambiguity and passionate about building scalable systems.

  • Compensation icon$169,500 - $226,100/year
  • Employment type iconFull Time
  • Experience level iconSenior (5 to 8 years), Expert & Leadership (9+ years)
San Francisco +1 more

Software Engineer, ML Developer Experience

Anyscale

Candidates should possess a solid background in algorithms, data structures, and system design, with at least 5 years of relevant work experience. Experience working with modern machine learning tooling such as PyTorch and MLFlow is also required. Bonus points are awarded for experience in building and maintaining open-source projects, operating machine learning infrastructure in production, and building highly available serving systems.

  • Compensation icon$180,000 - $273,000/year
  • Employment type iconFull Time
  • Experience level iconJunior (1 to 2 years)