Full-Time

Software Engineer

Model Training Infrastructure

Updated on 11/13/2024

Anyscale

Anyscale

201-500 employees

Platform for scaling AI workloads

Enterprise Software
AI & Machine Learning

Compensation Overview

$170.1k - $237kAnnually

Senior

San Francisco, CA, USA

Hybrid position in San Francisco, CA.

Category
FinTech Engineering
Software Engineering
Required Skills
Tensorflow
Data Structures & Algorithms
Pytorch
Requirements
  • Minimum 5+ years of experience building, scaling, and maintaining software systems in production environments
  • Strong fundamentals in algorithms, data structures, and system design
  • Proficiency with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, XGBoost)
  • Experience designing fault-tolerant distributed systems
  • Solid architectural skills
Responsibilities
  • Develop scalable, fault-tolerant distributed machine learning libraries that power leading ML platforms
  • Create an exceptional end-to-end experience for training machine learning models
  • Solve complex architectural challenges and transform them into practical solutions
  • Contribute to and engage with the open-source community, collaborating with ML researchers, engineers, and data scientists to build new scalable machine learning abstractions
  • Share your work and expertise with a broader audience through talks, tutorials, and blog posts
  • Collaborate with a team of experts in distributed systems and machine learning
  • Work directly with end-users to iterate on and enhance the product based on their feedback
  • Partner with engineering and product managers to nurture a talented team of software engineers
  • Play a key role in building and shaping a world-class company

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 users efficiently scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Companies like OpenAI and Ant Group utilize Ray to train large models and enhance the performance and reliability of their ML systems. Anyscale's platform significantly improves scalability, latency, and cost-efficiency, with some clients experiencing over 90% enhancements in these areas. The company operates on a software-as-a-service (SaaS) model, allowing clients to subscribe to access Ray and its features, which ensures a consistent revenue stream. Anyscale's goal is to empower organizations to optimize their AI operations and achieve greater efficiency in their workloads.

Company Stage

Series C

Total Funding

$252.5M

Headquarters

San Francisco, California

Founded

2019

Growth & Insights
Headcount

6 month growth

-33%

1 year growth

81%

2 year growth

156%
Simplify Jobs

Simplify's Take

What believers are saying

  • Anyscale's recent $100M Series C funding at a $1 billion valuation indicates strong investor confidence and financial stability.
  • The launch of Anyscale Endpoints and Aviary projects demonstrates the company's commitment to innovation and addressing market needs for scalable AI solutions.
  • Collaborations with industry leaders like Nvidia enhance Anyscale's technological capabilities and market reach.

What critics are saying

  • The 'ShadowRay' vulnerability exposes significant security risks, potentially undermining client trust and operational stability.
  • The competitive landscape in AI and ML is intense, with rivals like OctoML and established cloud providers posing significant threats.

What makes Anyscale unique

  • Anyscale's Ray framework is a widely adopted open-source tool specifically designed for scaling AI applications, setting it apart from more general-purpose platforms.
  • The company's focus on optimizing cost-efficiency and scalability for large AI workloads, including generative AI and LLMs, provides a significant competitive edge.
  • Partnerships with tech giants like Nvidia and clients like OpenAI and Ant Group underscore Anyscale's credibility and effectiveness in the AI and ML space.

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Benefits

Medical, Dental, and Vision insurance

401K retirement savings

Flexible time off

FSA and Commuter benefits

Parental and family leave

Office & phone plan reimbursement