About Anyscale:
Anyscale provides a development platform intended to simplify distributed computing. This enables software developers of all skill levels to build applications that run at any scale from a laptop to the data center.
We're commercializing a popular open source project called
Ray - which is a framework for distributed computing as well as an ecosystem of libraries for scalable machine learning.
Anyscale is based in San Francisco, CA.
About the role:
Machine learning and AI are the future of technology and we at Anyscale believe that Ray and Anyscale will define this future. As the Product Manager for Tuning & Reinforcement Learning, you will envision, design, and ship features that make it possible for developers to build the applications of the future.
Product at Anyscale is extremely user oriented. You’ll be diving into conversations with open source users and developers as well as those using our core product. After finding critical problems to solve on behalf of these users, you’ll be a scrappy executor working closely with users, customers, engineers, designers, and marketing in order to successfully roll out Anyscale and Ray products and features.
Our product is inherently technical, so we’re looking for folks that know how to communicate about technical products with multiple audiences - whether it’s the C-suite or an individual engineer.
- At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $161,850 - $220,000. 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