Anyscale

Technical Services Engineer

Bengaluru, Karnataka, India

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Cloud Computing, Software DevelopmentIndustries

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.

About the Role

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, 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.

Responsibilities

  • Be a solutions architect, 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 etc. 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
  • Proficient in deploying and resolving issues within container orchestration platforms (such as Kubernetes) and working with infrastructure as code tools (such as Terraform).
  • Hands-on experience with one or more of the major cloud platforms (AWS, GCP or Azure)
  • Knowledge in Observability tools (e.g. Grafana)
  • 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 Points

  • Experience with Ray
  • Knowledge of MLOps platforms in support of ML/AI, Data Engineering and Data Science teams
  • Knowledge of 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.

Equal Opportunity Employer

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 law.

Skills

Distributed Computing
Machine Learning
AI
LLM
vLLM
Troubleshooting
Customer Support
Technical Advising
Onboarding
Platform Adoption
Debugging
Ray

Anyscale

Platform for scaling AI workloads

About Anyscale

Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps developers manage and scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to enhance the performance, fault tolerance, and scalability of their AI systems, with some users reporting over 90% improvements in efficiency, latency, and cost-effectiveness. Anyscale primarily serves clients in the AI and ML sectors, including major companies like OpenAI and Ant Group, who rely on Ray for training large models. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to empower organizations to effectively scale their AI workloads and optimize their operations.

San Francisco, CaliforniaHeadquarters
2019Year Founded
$252.5MTotal Funding
SERIES_CCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees

Benefits

Medical, Dental, and Vision insurance
401K retirement savings
Flexible time off
FSA and Commuter benefits
Parental and family leave
Office & phone plan reimbursement

Risks

ShadowRay vulnerability in Ray framework poses significant security risk with no patch.
OctoML's OctoAI service increases competition in AI infrastructure market.
Dependency on Nvidia's technology could be risky if Nvidia faces issues.

Differentiation

Anyscale's Ray framework scales AI applications from laptops to cloud seamlessly.
Ray is widely used in Generative AI, LLMs, and computer vision fields.
Anyscale's SaaS model provides recurring revenue through subscription fees for Ray platform.

Upsides

Anyscale's $100M Series C funding indicates strong investor confidence and growth potential.
Partnership with Nvidia enhances performance and cost-efficiency for AI deployments.
Anyscale Endpoints offers 10X cost-efficiency for popular open-source LLMs.

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