Anyscale

Software Engineer - Reinforcement Learning

Remote

Not SpecifiedCompensation
Senior (5 to 8 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Artificial Intelligence, Software Development, Open Source SoftwareIndustries

Requirements

Candidates should have existing machine learning experience and strong proficiency in Python and PyTorch or Tensorflow. Experience using RLlib or developing RL algorithms is preferred, and candidates should be excited about working with customers and contributing to open source projects.

Responsibilities

The Software Engineer will enhance RLlib, an open-source library for reinforcement learning, by developing high-quality software, implementing and evaluating new RL algorithms, and improving the testing process. They will also communicate their work through talks, tutorials, and blog posts.

Skills

Reinforcement Learning
RLlib
Python
PyTorch
TensorFlow
Machine Learning
Distributed Computing
Open Source

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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