Software Engineer, ML Developer Experience

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.

Responsibilities

• Manage long-running operations and make failures across jobs, tasks, actors, nodes, and GPUs easier to diagnose.
• 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.
• 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.
• Collaborate 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.

Requirements

• 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

Qualifications

• 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

Skills

• Strong product instincts
• Ability to understand user needs and translate them into technical solutions
• Excellent communication skills
• Experience with distributed systems and machine learning

Benefits

• Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date

Pay

• Competitive salary commensurate with experience

Schedule

• Full-time

Benefits

• Health insurance
• Retirement plan
• Flexible work schedule
• Professional development opportunities

Company Culture

• Remote-friendly
• Flexible work hours
• Regular team-building activities
• Open communication

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 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.