Software Engineer, ML Developer Experience

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.

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

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.

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