Full-Time

Staff Software Engineer / Tech Lead Manager

Confirmed live in the last 24 hours

Anyscale

501-1,000 employees

Scalable compute platform for AI, Python

AI & Machine Learning

Compensation Overview

$237,000 - $284,614Annually

+ Equity + Stock Options + Wellness Stipend + Education Stipend + Paid Parental Leave + Flexible Time Off + Commute Reimbursement + 100% Coverage of In-Office Meals

Senior, Expert

San Francisco, CA, USA

Required Skills

Kubernetes

Apache Flink

Data Structures & Algorithms

Apache Spark

AWS

Hadoop

Google Cloud Platform

Requirements

5+ years of building, scaling and maintaining software systems in production environments
Solid fundamentals in algorithms, data structures, system design
Experience designing fault-tolerant distributed systems
Strong architectural skills
Experience working with a cloud technology stack (AWS, GCP, Kubernetes)
Experience building machine learning training pipelines or inference services in a production setting
Experience with big data tools (Spark, Flink, Hadoop)
Experience managing small teams in pursuit of an ambitious technical goal

Responsibilities

Develop high-quality software to empower software developers and simplify programming through the Anyscale platform
Work on difficult architectural problems and turn them into reality
Work with a team of leading experts in the areas of distributed systems and machine learning
Communicate work to a broader audience through talks, tutorials, and blog posts
Work closely with end users and iterate on the product with them
Help build and shape a world-class company

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.

About the role:

We’re looking for passionate, motivated people who are excited to build tools that will power the next generation of cloud applications. If the idea of an infinite laptop appeals to you, let’s build the future of software development together.

We’re hiring exceptional Staff Software Engineers for a variety of open roles, including:

- Distributed systems

- Observability

- Production serving

- Site Reliability

- Developer Productivity

We are particularly looking for staff and above candidates who can help lay down solid architectural foundations for the future of Ray and Anyscale. We are open to both Individual Contributors and people who are primarily technical but have prior experience managing a small team.

As part of this role, you will:

Develop high-quality software to empower software developers and simplify programming through the Anyscale platform
Work on difficult architectural problems and turn them into reality
Work with a team of leading experts in the areas of distributed systems and machine learning
Communicate your work to a broader audience through talks, tutorials, and blog posts
You like to work closely with end users and iterate on the product with them
Help us build and shape a world-class company

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

You have 5+ years of building, scaling and maintaining software systems in production environments
Solid fundamentals in algorithms, data structures, system design
Experience designing fault-tolerant distributed systems
Strong architectural skills

Bonus Points!

Experience working with a cloud technology stack (AWS, GCP, Kubernetes)
Experience building machine learning training pipelines or inference services in a production setting
Experience with big data tools (Spark, Flink, Hadoop)
Experience managing small teams in pursuit of an ambitious technical goal

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 $237,000 ~ $284,614. 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%
401k Retirement Plan
Wellness stipend
Education stipend
Paid Parental Leave
Flexible 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

Anyscale

View

Website

View Company Profile

Anyscale provides a scalable compute platform for AI and Python applications, utilizing Ray and distributed computing technologies for reinforcement learning, deep learning, and model serving. The platform supports various use cases such as large language models, demand forecasting, industrial automation, NLP, and recommendation systems.

Company Stage

Series C

Total Funding

$259.6M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights

Headcount

6 month growth

↓ -3%

1 year growth

↑ 44%

2 year growth

↑ 233%

Benefits

Medical, Dental, and Vision insurance

401K retirement savings

Flexible time off

FSA and Commuter benefits

Parental and family leave

Office & phone plan reimbursement