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.
The Technical Services Engineer’s primary role is to serve as a technical advisor and champion for Anyscale customers. In this function, you will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale. While also troubleshooting and resolving open customer tickets and driving consumption.
Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space.
Note this role is hybrid, in office 3 days a week (Mon, Tue, Thur).
In this role, you’ll be able to
- Be a technical advisor and internal champion for our key customers; helping them to successfully onboard and adopt the Anyscale platform
- Own customer issues end-to-end, from troubleshooting, triaging, escalations and eventual resolution
- Participate in our follow-the-sun customer support model to ensure continuity in resolving high priority tickets
- Keep track of open customer bugs and feature requests to influence prioritization and provide timely customer updates upon resolution
- Manage current workload state of key customers and help to identify new workloads to drive account expansion
- Contribute towards improvement of internal tools and documentation of playbooks, guides and best practices e.t.c. based on observed patterns
- Habitually provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experience
- Build and maintain strong relationships with technical stakeholders within customer accounts
Qualifications
- 5+ years of experience in a customer-facing technical role with 2+ years in a dynamic, fast-paced, startup-like environment
- Strong organizational skills and ability to manage multiple customer needs simultaneously
- 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, self-motivation and eagerness to acquire new skills and do new things
- Willingness to uplevel the knowledge and skills of your peers through mentorship, trainings and shadowing
Bonus
- Experience with Ray
- Knowledge of MLOps platforms
- Familiarity with container orchestration platforms (e.g., Kubernenetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)
- Knowledge or training, fine-tuning and inference/serving of LLMs
Compensation
- At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. 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
- 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.
•
Last updated on Jan 24, 2025