Software Engineer, ML Developer Experience at Anyscale

San Francisco, California, United States

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$180,000 – $273,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Software, Artificial IntelligenceIndustries

Requirements

Candidates should possess a solid background in algorithms, data structures, and system design, with at least 5 years of relevant work experience. Experience working with modern machine learning tooling such as PyTorch and MLFlow is also required. Bonus points are awarded for experience in building and maintaining open-source projects, operating machine learning infrastructure in production, and building highly available serving systems.

Responsibilities

The ML Developer Experience team is responsible for creating tools and services that enable users to build production-quality applications using Ray. This includes developing a next-generation ML Ops platform and development tooling centered around Ray, as well as building tools and frameworks for managing the AI development lifecycle from data preparation to training and production serving. Engineers will also contribute to critical infrastructure and architecture pieces that power the platform at scale, and may work on Anyscale workspaces, debugging, dependency management, ML Ops tooling, SDKs, and authentication.

Skills

Software Engineering

Machine Learning

Ray

Full Stack Development

Debugging

Dependency Management

MLOps

Architecture

Anyscale

Platform for scaling AI workloads

About Anyscale

Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps developers manage and scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to enhance the performance, fault tolerance, and scalability of their AI systems, with some users reporting over 90% improvements in efficiency, latency, and cost-effectiveness. Anyscale primarily serves clients in the AI and ML sectors, including major companies like OpenAI and Ant Group, who rely on Ray for training large models. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to empower organizations to effectively scale their AI workloads and optimize their operations.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$252.5MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Medical, Dental, and Vision insurance

401K retirement savings

Flexible time off

FSA and Commuter benefits

Parental and family leave

Office & phone plan reimbursement

Risks

ShadowRay vulnerability in Ray framework poses significant security risk with no patch.

OctoML's OctoAI service increases competition in AI infrastructure market.

Dependency on Nvidia's technology could be risky if Nvidia faces issues.

Differentiation

Anyscale's Ray framework scales AI applications from laptops to cloud seamlessly.

Ray is widely used in Generative AI, LLMs, and computer vision fields.

Anyscale's SaaS model provides recurring revenue through subscription fees for Ray platform.

Upsides

Anyscale's $100M Series C funding indicates strong investor confidence and growth potential.

Partnership with Nvidia enhances performance and cost-efficiency for AI deployments.

Anyscale Endpoints offers 10X cost-efficiency for popular open-source LLMs.

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