Technical Services Engineer

March 12

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Anyscale

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Anyscale is a company that provides an advanced AI platform designed to optimize performance and reduce costs for AI workloads. Powered by RayTurbo, a supercharged version of the Ray AI Compute Engine, Anyscale's platform allows users to efficiently run AI and machine learning tasks across a variety of computing environments including GPUs and CPUs. The company caters to developers and AI/ML specialists by enabling scalable, distributed computing and offers tools for rapid model training, evaluation, and deployment. Anyscale is used by AI leaders globally, including companies like OpenAI and Uber, to accelerate and enhance their AI development processes.

51 - 200 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• 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