Technical Services Engineer

Anyscale commercializes Ray, a popular open-source project creating an ecosystem of libraries for scalable machine learning.
$119,360 - $186,857
Machine Learning
Mid-Level Software Engineer
Hybrid
5+ years of experience
AI · Enterprise SaaS
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Description For Technical Services Engineer

Anyscale, backed by prominent investors with $250+ million in funding, is revolutionizing distributed computing through Ray, their open-source project. As a Technical Services Engineer, you'll be at the forefront of helping customers implement and succeed with their ML/AI initiatives. The role combines technical expertise in ML/AI, customer advocacy, and problem-solving skills.

The position requires working from the San Francisco office three days a week (Mon, Tue, Thur) in a hybrid setup. You'll be responsible for being the technical advisor for key customers, managing their onboarding and adoption of the Anyscale platform. The role involves end-to-end ownership of customer issues, from troubleshooting to resolution, while participating in a follow-the-sun support model.

The ideal candidate brings 5+ years of customer-facing technical experience, with at least 2 years in a fast-paced startup environment. Strong knowledge of ML/AI, data engineering, and cloud platforms is essential. You'll work with industry leaders like OpenAI, Uber, Spotify, and Instacart who use Ray in their tech stacks.

This role offers competitive compensation ($119,360 - $186,857) plus comprehensive benefits including stock options, healthcare coverage, 401k, wellness and education stipends, and more. It's an opportunity to impact the future of distributed computing and AI while working with cutting-edge technology and prominent customers.

The position requires excellent communication skills, strong technical capabilities, and the ability to manage multiple customer needs simultaneously. You'll collaborate with product and engineering teams to improve the platform while building strong relationships with technical stakeholders. Experience with Ray, MLOps platforms, and LLMs is a plus.

Last updated 3 months ago

Responsibilities For Technical Services Engineer

  • Be a technical advisor and internal champion for key customers
  • Own customer issues end-to-end, from troubleshooting to resolution
  • Participate in follow-the-sun customer support model
  • Track customer bugs and feature requests
  • Manage customer workload state and identify new workloads
  • Contribute to internal tools and documentation
  • Provide feedback and collaborate with product and engineering teams
  • Build and maintain relationships with technical stakeholders

Requirements For Technical Services Engineer

Kubernetes
  • 5+ years of experience in customer-facing technical role
  • 2+ years in startup-like environment
  • Strong organizational skills
  • Hands-on experience in ML/AI, Data Engineering and Data Science
  • Knowledge in cloud platforms (AWS, GCP or Azure)
  • Excellent communication and interpersonal skills
  • Strong sense of ownership and self-motivation

Benefits For Technical Services Engineer

Equity
Medical Insurance
401k
Education Budget
Parental Leave
Commuter Benefits
  • Stock Options
  • Healthcare plans covered 99% for employees and dependents
  • 401k Retirement Plan
  • Wellness stipend
  • Education stipend
  • Paid Parental Leave
  • Flexible Time Off
  • Commute reimbursement
  • 100% of in-office meals covered

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