Anyscale · 20 hours ago
AI / ML Solutions Engineer
California, United States
Full-time
Hybrid
Senior Level
5+ years expAnyscale is dedicated to democratizing distributed computing and making it accessible for developers. They are seeking an AI / ML Solutions Engineer to work with customers on designing, implementing, and scaling machine learning and AI workloads using Ray and Anyscale.
AI InfrastructureArtificial Intelligence (AI)Developer PlatformInformation TechnologyMachine LearningOpen Source
Responsibilities
Implement production AI / ML workloads using Ray and Anyscale, such as:
Distributed model training
Scalable inference and serving
Data preprocessing and feature pipelines
Work hands-on with customer codebases to refactor or adapt existing workloads to Ray
Advise customers on ML system architecture, including:
Application design for distributed execution
Resource management and scaling strategies
Reliability, fault tolerance, and performance tuning
Guide customers through architectural and operational changes required to adopt Ray and Anyscale effectively
Partner with customer MLE and MLOps teams to integrate Ray into existing platforms and workflows
Support CI/CD, monitoring, retraining, and operational best practices
Help customers transition from experimentation to production-grade ML systems
Enable customer teams through working sessions, design reviews, training delivery, and hands-on guidance
Contribute feedback from the field to product, engineering, and education teams
Help develop reference architectures, examples, and best practices based on real customer use cases
Qualification
Required
5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or ML Systems Engineer
Strong proficiency in Python and experience building production ML systems
Hands-on experience with distributed systems or scalable ML frameworks (Ray, Spark, Dask, Kubernetes, etc.)
Experience with one or more of: Distributed training (multi-node / multi-GPU), Model serving and scalable inference, Data pipelines and workflow orchestration
Comfort working directly with customers in a consultative, problem-solving role
Strong communication skills and ability to explain technical tradeoffs clearly
Preferred
Experience supporting or deploying ML platforms or internal ML infrastructure
Familiarity with cloud environments (AWS, GCP, Azure)
Exposure to MLOps tooling (MLflow, Airflow, Dagster, Kubeflow, etc.)
Prior experience in Professional Services, Consulting, or Customer Engineering roles
Benefits
Competitive compensation
Equity
Flexible remote work
Company
Anyscale
Anyscale accelerates the development and productionization of any AI app, on any cloud, at any scale.
201-500 employees
H1B Sponsorship
Anyscale has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (33)
2024 (14)
2023 (10)
2022 (10)
2021 (4)
2020 (1)
Funding
Current Stage
Growth StageTotal Funding
$259MKey Investors
New Enterprise AssociatesAndreessen Horowitz
2022-08-23Series C· $99M
2021-12-07Series C· $100M
2020-10-21Series B· $40M
Leadership Team
Keerti Melkote
Chief Executive Officer
Ion Stoica
Co-Founder & Executive Chairman
Recent News
Foundation Capital
2026-01-02
2025-11-04
The New Stack
2025-10-23
Company data provided by crunchbase