Anyscale H-1B Visa Sponsorship Jobs USA
Anyscale sponsors H-1B visas for skilled roles across its AI and distributed computing platform, primarily in software engineering, machine learning, and infrastructure. It sponsors a moderate number of H-1B visas each year, making it a realistic target for international candidates with strong technical backgrounds in the AI/ML space.
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Get Access To All JobsAbout 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 Customer Engineer 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.
In this role, you’ll be able to
- Resolve customer issues and help in their successful adoption of Anyscale platform
- Be a technical advisor, and internal champion for our key customers
- 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
- 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
- 3+ years of experience in a customer-facing technical role in a dynamic, fast-paced, startup-like environment
- Strong organizational skills and ability to manage multiple customer needs simultaneously
- One of:
- Proficient as a machine learning engineer developing data pipelines for training, fine-tuning and inference/serving of LLMs
- Experience running and optimizing infrastructure for distributed ML workloads on the major cloud platforms (AWS/EKS, GCP/GKE or Azure/AKS)
- 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
- Knowledge of container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)
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.
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 Customer Engineer 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.
In this role, you’ll be able to
- Resolve customer issues and help in their successful adoption of Anyscale platform
- Be a technical advisor, and internal champion for our key customers
- 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
- 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
- 3+ years of experience in a customer-facing technical role in a dynamic, fast-paced, startup-like environment
- Strong organizational skills and ability to manage multiple customer needs simultaneously
- One of:
- Proficient as a machine learning engineer developing data pipelines for training, fine-tuning and inference/serving of LLMs
- Experience running and optimizing infrastructure for distributed ML workloads on the major cloud platforms (AWS/EKS, GCP/GKE or Azure/AKS)
- 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
- Knowledge of container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)
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.
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Get Access To All JobsTips for Finding Anyscale H-1B Jobs
Target roles that align with Anyscale's core technology
Anyscale's H-1B sponsorship is concentrated in software engineering, machine learning, and distributed systems roles. Applying for positions that directly support Ray or cloud AI infrastructure gives you the strongest chance of sponsorship consideration.
Confirm sponsorship willingness before applying
Not every open role at a Technology & Software company comes with H-1B sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and avoid wasting applications on roles unlikely to support visa petitions.
Engage with Anyscale's technical community early
Anyscale recruits heavily from contributors to the open-source Ray ecosystem. Demonstrating technical credibility through GitHub contributions or community involvement can make your application stand out before the H-1B petition process begins.
Understand the H-1B cap and lottery timing
H-1B petitions are subject to an annual lottery with a March registration window. Align your Anyscale job search and interview timeline so that an offer can be secured well before the registration period opens each year.
Prepare your specialty occupation documentation thoroughly
USCIS requires evidence that your role qualifies as a specialty occupation. For Anyscale roles in AI and distributed computing, this typically means demonstrating that a degree in computer science, engineering, or a closely related field is a standard requirement.
Ask about the internal sponsorship process during interviews
At Technology & Software companies like Anyscale, immigration support is often handled through outside counsel. Asking your recruiter which immigration law firm manages petitions and what the internal approval process looks like signals preparation and reduces surprises later.
Anyscale H-1B Visa Sponsorship: Frequently Asked Questions
Does Anyscale sponsor H-1B visas?
Yes, Anyscale sponsors H-1B visas. The company supports international candidates in technical roles, particularly in software engineering, machine learning, and distributed systems. Sponsorship is not guaranteed for every open position, so it's worth confirming directly with the recruiter during the hiring process that the specific role includes H-1B support.
Which roles at Anyscale are most likely to receive H-1B sponsorship?
H-1B sponsorship at Anyscale is most common for highly technical positions such as software engineers, machine learning engineers, infrastructure engineers, and research scientists. These roles align closely with USCIS specialty occupation requirements, which demand a degree in a specific field directly related to the job duties.
How do I navigate the H-1B application process at Anyscale?
Once you receive and accept an offer, Anyscale's HR or legal team will connect you with their immigration counsel to begin the H-1B petition. The process involves preparing a Labor Condition Application, gathering supporting documents, and filing Form I-129. You'll work closely with the immigration attorney throughout. Starting well before the annual March lottery registration window is critical.
How do I find H-1B jobs at Anyscale as an international candidate?
Searching Anyscale's careers page is a good starting point, but it won't tell you which roles come with verified H-1B sponsorship. Migrate Mate lets you filter job listings by confirmed sponsorship history, so you can focus your applications on positions where international candidates have a real path forward at companies like Anyscale.
What is the typical timeline for H-1B sponsorship at Anyscale?
The full H-1B timeline depends on where you are in the process. USCIS opens registration in March each year, with selections announced by late March or April. If selected, petitions are filed by June 30, and approved H-1B status begins October 1. From offer acceptance to start date, the process commonly takes six to nine months for cap-subject petitions.
What is the prevailing wage for H-1B jobs at Anyscale?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.