Consulting Engineer

Anyscale is commercializing Ray, a popular open-source project for scalable machine learning, democratizing distributed computing for software developers.
$222,010 - $275,057
Full-Stack
Senior Software Engineer
Hybrid
51 - 100 Employees
5+ years of experience

Description For Consulting Engineer

Anyscale is on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray, a popular open-source project creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, and Cruise use Ray in their tech stacks to accelerate AI applications.

As a Consulting Engineer at Anyscale, you'll be a core member of the team, contributing to customer implementations across the ML Ops lifecycle. Your responsibilities will include technical architecture assessment, model design and testing, deployment architectures, integration, debugging, and production operations. You'll also deliver classroom-based training, work with cross-functional teams, and influence the product roadmap.

The ideal candidate has:

  • BS, MS, or PhD in Computer Science or related fields (or equivalent experience)
  • 5+ years of hands-on experience delivering services to customers
  • Excellent knowledge of Machine Learning and Deep Learning architectures and frameworks
  • Experience with Python, MLOps, DevOps, virtualization, Docker, and Kubernetes in cloud environments
  • Strong presentation, communication, and collaboration skills

Anyscale offers competitive compensation and benefits, including:

  • Salary range: $222,010 - $275,057 per year
  • Stock Options
  • Comprehensive healthcare plans (99% covered for employees and dependents)
  • 401k Retirement Plan
  • Wellness and Education stipends
  • Paid Parental Leave and Time Off
  • Commute reimbursement
  • In-office meals covered

Join Anyscale and be part of a team that's shaping the future of distributed computing and AI applications!

Last updated 6 months ago

Responsibilities For Consulting Engineer

  • Contribute to customer implementations across the ML Ops lifecycle
  • Deliver customer classroom-based training
  • Work as part of a wider delivery team
  • Partner with Product and Engineering teams to influence product roadmap
  • Travel within the USA when needed

Requirements For Consulting Engineer

Python
Kubernetes
  • BS, MS, or PhD in Computer Science, Engineering, or related fields (or equivalent experience)
  • 5+ years of hands-on experience delivering services to customers
  • Excellent knowledge of Machine Learning and Deep Learning software architecture and frameworks
  • Experience with Python, MLOps, DevOps, virtualization, Docker, Kubernetes in cloud computing environments
  • Excellent presentation, communication, and collaboration skills
  • Ability to work cross-functionally both internally and externally

Benefits For Consulting Engineer

Equity
Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
Parental Leave
  • Stock Options
  • Healthcare plans (99% covered for employees and dependents)
  • 401k Retirement Plan
  • Wellness stipend
  • Education stipend
  • Paid Parental Leave
  • Paid Time Off
  • Commute reimbursement
  • In-office meals covered

Interested in this job?

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