POSTED Jun 26

Consulting Engineer

at Anyscale ⋅ Remote

machine learning

Deep Learning

python

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About Anyscale:

At Anyscale, we're 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 that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

Anyscale is based in San Francisco, CA. Employees are required to come in office 3x a week.

As a core member of the Anyscale Field Engineering team, you will:

Contribute to customer implementations at any or all phases of the ML Ops lifecycle: technical architecture assessment, model design, model testing and model fine tuning, deployment architectures, integration and release configuration, debugging, performance testing, and production operations,

Deliver customer classroom-based training to platform engineering and developer roles

Work as part of a wider delivery team comprising of fellow consulting engineers, Anyscale engineering and account teams

Partner with Product and Engineering teams to influence the direction of the Anyscale product roadmap

Have the ability to travel within the USA when needed. While travel has been very limited since covid, we are seeing customers request on-site delivery

We'd love to hear from you if you have:

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other 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

Compensation

At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $222,010- $275,057. As the market data changes over time, the target salary for this role may be adjusted.

This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:

Stock Options

Healthcare plans, with premiums covered by Anyscale at 99% for both employees and dependents

401k Retirement Plan

Wellness stipend

Education stipend

Paid Parental Leave

Paid Time Off

Commute reimbursement

100% of in-office meals covered

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.

Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

About Anyscale:

At Anyscale, we're 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 that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

Anyscale is based in San Francisco, CA. Employees are required to come in office 3x a week.

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