Anyscale Visa Sponsorship Jobs USA
Anyscale is an AI infrastructure company behind the Ray open-source framework, operating at the frontier of distributed computing and machine learning. It has an active sponsorship track record across H-1B visa and Green Card pathways, making it a credible target for international engineers and researchers in the AI/ML space.
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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
Anyscale is looking for a Software Engineer to join the ML Developer Experience (MLDevX) team. MLDevX owns the experience layer of the Anyscale platform: the interfaces through which users and coding agents discover, configure, run, observe, debug, and productionize AI workloads. Every user journey crosses this layer through the CLI, SDKs, APIs, UI, Workspaces, MCP, or the workflows and integrations built on top of them. Together, these form the user’s primary interface into Anyscale, turning distributed computing from a systems problem back into a coding problem. We build the common contracts, tools, control-plane services, and architecture that power these surfaces. You will work across the stack from developer tooling to cloud infrastructure and the Ray runtime. Manage long-running operations and make failures across jobs, tasks, actors, nodes, and GPUs easier to diagnose. The systems you build must scale with the platform, remain predictable through failures, and be intuitive for developers, programmable for applications, and operable by coding agents. This is a high impact individual-contributor role with end-to-end ownership. You will work directly with users and field teams to identify high leverage problems, shape the product and technical design, and build and operate the solution. The scope spans the AI workload loop - data preparation, fine-tuning and post-training, serving, evaluation, and iteration as well as the developer loop: code, submit, monitor, debug, optimize, and re-submit. We are looking for someone with strong product judgment, a willingness to understand the user base, and the technical depth to build high quality software for everyone from a developer learning Ray for the first time to an AI-native company or enterprise running production workloads at scale.
A snapshot of projects you may work on
- Build the next generation of developer tooling and MLOps capabilities on Ray, designed for both developers and coding agents.
- Develop an agent-first CLI and cohesive SDK, API, and MCP surfaces with self-discovery, structured errors, dry-run support, and consistent behavior across platform resources.
- Work across the Anyscale Workspaces stack to improve the path from local code to distributed execution, including environments, dependencies, images, authentication, workload submission, and debugging.
- Build cohesive experience, tools and frameworks for the AI development lifecycle, including data preparation, fine-tuning and post-training, evaluation, production serving, dataset management, experiment tracking, and lineage.
- Build the path from a trained model to a reliable production endpoint, including model registration, deployment workflows, performance benchmarking, and LLM-specific service metrics.
- Surface observability across the CLI, SDK, UI, and agent-facing interfaces so users can diagnose failures across jobs, tasks, actors, nodes, and GPUs.
- Design open integrations using durable standards such as OpenAI-compatible APIs and OpenTelemetry, along with stable Jobs and Services interfaces for external orchestrators.
- Design and operate the highly available backend services and platform architecture that power these capabilities across serverless and bring-your-own-cloud environments.
- Work closely with users and field teams to scope, ship, and iterate on the product, and collaborate with distributed systems and machine learning experts to push the boundaries of AI infrastructure.
We'd love to hear from you if you have
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 5+ years of experience writing high-quality production code
- A solid background in algorithms, data structures, and system design
- Experience working with modern machine learning tooling — PyTorch, MLflow, data catalogs, and similar
- Hands-on experience building and operating highly available services in production
- Strong product instincts and a track record of shipping developer-facing tools that people choose to use
Bonus points if you have
- Experience building and maintaining open-source projects
- Experience building and operating machine learning infrastructure in production
- Experience building highly available serving systems
- Experience using Ray
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
Anyscale is looking for a Software Engineer to join the ML Developer Experience (MLDevX) team. MLDevX owns the experience layer of the Anyscale platform: the interfaces through which users and coding agents discover, configure, run, observe, debug, and productionize AI workloads. Every user journey crosses this layer through the CLI, SDKs, APIs, UI, Workspaces, MCP, or the workflows and integrations built on top of them. Together, these form the user’s primary interface into Anyscale, turning distributed computing from a systems problem back into a coding problem. We build the common contracts, tools, control-plane services, and architecture that power these surfaces. You will work across the stack from developer tooling to cloud infrastructure and the Ray runtime. Manage long-running operations and make failures across jobs, tasks, actors, nodes, and GPUs easier to diagnose. The systems you build must scale with the platform, remain predictable through failures, and be intuitive for developers, programmable for applications, and operable by coding agents. This is a high impact individual-contributor role with end-to-end ownership. You will work directly with users and field teams to identify high leverage problems, shape the product and technical design, and build and operate the solution. The scope spans the AI workload loop - data preparation, fine-tuning and post-training, serving, evaluation, and iteration as well as the developer loop: code, submit, monitor, debug, optimize, and re-submit. We are looking for someone with strong product judgment, a willingness to understand the user base, and the technical depth to build high quality software for everyone from a developer learning Ray for the first time to an AI-native company or enterprise running production workloads at scale.
A snapshot of projects you may work on
- Build the next generation of developer tooling and MLOps capabilities on Ray, designed for both developers and coding agents.
- Develop an agent-first CLI and cohesive SDK, API, and MCP surfaces with self-discovery, structured errors, dry-run support, and consistent behavior across platform resources.
- Work across the Anyscale Workspaces stack to improve the path from local code to distributed execution, including environments, dependencies, images, authentication, workload submission, and debugging.
- Build cohesive experience, tools and frameworks for the AI development lifecycle, including data preparation, fine-tuning and post-training, evaluation, production serving, dataset management, experiment tracking, and lineage.
- Build the path from a trained model to a reliable production endpoint, including model registration, deployment workflows, performance benchmarking, and LLM-specific service metrics.
- Surface observability across the CLI, SDK, UI, and agent-facing interfaces so users can diagnose failures across jobs, tasks, actors, nodes, and GPUs.
- Design open integrations using durable standards such as OpenAI-compatible APIs and OpenTelemetry, along with stable Jobs and Services interfaces for external orchestrators.
- Design and operate the highly available backend services and platform architecture that power these capabilities across serverless and bring-your-own-cloud environments.
- Work closely with users and field teams to scope, ship, and iterate on the product, and collaborate with distributed systems and machine learning experts to push the boundaries of AI infrastructure.
We'd love to hear from you if you have
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 5+ years of experience writing high-quality production code
- A solid background in algorithms, data structures, and system design
- Experience working with modern machine learning tooling — PyTorch, MLflow, data catalogs, and similar
- Hands-on experience building and operating highly available services in production
- Strong product instincts and a track record of shipping developer-facing tools that people choose to use
Bonus points if you have
- Experience building and maintaining open-source projects
- Experience building and operating machine learning infrastructure in production
- Experience building highly available serving systems
- Experience using Ray
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 Visa Sponsorship Jobs USA
Target AI and distributed systems roles
Anyscale's core product is built on Ray, so engineering roles tied to distributed computing, ML infrastructure, and AI frameworks are most likely to attract sponsorship. Align your application materials to these technical domains for the strongest fit.
Understand the Green Card pathway here
Anyscale has a strong track record on permanent residence sponsorship, not just H-1B. If long-term U.S. residency matters to you, ask recruiters early about their EB-2 and EB-3 processes and typical timelines for engineering hires.
Leverage your F-1 OPT or CPT strategically
Anyscale sponsors F-1 OPT and CPT, making it accessible before the H-1B lottery. If you're a current student or recent graduate in a relevant AI or systems field, this can be a practical entry point into the company.
Use Migrate Mate to confirm active sponsorship
Sponsorship availability changes with headcount and hiring cycles. Search Anyscale on Migrate Mate to filter open roles by verified sponsorship history, so you're applying to positions where international candidates are genuinely considered.
Highlight open-source contributions to Ray
Anyscale is deeply embedded in the Ray ecosystem. Demonstrable contributions to Ray or adjacent ML frameworks signal technical alignment and initiative, which can meaningfully strengthen a sponsorship-dependent application in a competitive candidate pool.
Time your application around H-1B cap deadlines
For cap-subject H-1B sponsorship, employers like Anyscale need to file by April. If you're on OPT, aim to start conversations in Q4 of the prior year so there's enough runway for the employer to prepare your petition.
Frequently Asked Questions
Does Anyscale sponsor H-1B visas?
Yes, Anyscale sponsors H-1B visas. The company has an active sponsorship track record across both H-1B and Green Card pathways, with sponsorship concentrated in technical roles tied to AI infrastructure, distributed systems, and machine learning. If you're targeting an H-1B, engineering and research positions are your strongest entry points at Anyscale.
Which visa types does Anyscale sponsor?
Anyscale sponsors H-1B, Green Card (EB-2 and EB-3), F-1 OPT, F-1 CPT, and TN visas. The breadth of visa types reflects a hiring culture that accommodates international talent at multiple career stages, from students on CPT to experienced engineers pursuing permanent residence.
Which departments or roles at Anyscale are most likely to offer visa sponsorship?
Sponsorship at Anyscale is concentrated in technical functions, particularly software engineering, ML infrastructure, and applied research roles aligned with the Ray framework and distributed computing. Go-to-market and business roles are less commonly sponsored. Candidates with deep AI/ML or systems engineering backgrounds are the clearest fit for sponsored positions.
How do I find open roles at Anyscale that offer visa sponsorship?
Migrate Mate lets you filter directly for Anyscale roles by visa type, so you can see which open positions have a verified sponsorship history rather than relying on job descriptions that may not mention it. This is especially useful if you're targeting a specific visa category like H-1B or OPT.
How do I approach the application process at Anyscale as an international candidate?
Raise your visa status early, ideally in the recruiter screen, so both sides can assess feasibility before investing in multiple interview rounds. Anyscale's technical hiring process is rigorous and focused on systems and ML depth. Demonstrating familiarity with Ray or distributed frameworks gives you a concrete edge beyond just meeting the sponsorship threshold.