Full-Time

Machine Learning Operations

Mlops, Engineer

Confirmed live in the last 24 hours

Together AI

Together AI

51-200 employees

Decentralized cloud services for AI development

Enterprise Software
AI & Machine Learning

Compensation Overview

$160k - $240kAnnually

+ Equity + Benefits

Senior

San Francisco, CA, USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Kubernetes
Microsoft Azure
Python
Tensorflow
Pytorch
Docker
AWS
Go
Development Operations (DevOps)
Google Cloud Platform
Requirements
  • 5+ years experience working on a production level ML training or inference system.
  • Bachelor’s degree in computer science or equivalent industry experience.
  • Strong understanding of the state of the art in machine learning especially LLMs.
  • Experience with DevOps practices like CI/CD, automation, containerization (Docker), and orchestration (Kubernetes).
  • Proficiency in cloud platforms like AWS, Google Cloud, or Azure.
  • Expertise in programming (Python, go, etc.) and frameworks for ML (TensorFlow, PyTorch, Scikit-learn).
Responsibilities
  • Work closely with engineering, research, and sales on deploying, evaluating, and operating inference systems for both customers and internal use.
  • Build and maintain tools, services, and documentation for automation and testing.
  • Analyze and improve efficiency, scalability, and stability of various system resources.
  • Conduct design and code reviews.
  • Participate in an on-call rotation to respond to critical incidents as needed.

Together AI focuses on enhancing artificial intelligence through open-source contributions. The company offers decentralized cloud services that allow developers and researchers to train, fine-tune, and deploy generative AI models. Their platform supports a wide range of clients, from small startups to large enterprises and academic institutions, by providing cloud-based solutions that simplify the development and deployment of AI models. Unlike many competitors, Together AI emphasizes open and transparent AI systems, which fosters innovation and aims to achieve beneficial outcomes for society. The company's goal is to empower users with the tools they need to advance AI technology while maintaining a commitment to openness.

Company Stage

Series A

Total Funding

$222.3M

Headquarters

Menlo Park, California

Founded

2022

Growth & Insights
Headcount

6 month growth

29%

1 year growth

134%

2 year growth

617%
Simplify Jobs

Simplify's Take

What believers are saying

  • Leveraging Meta's Llama 3.2 Vision model democratizes access to advanced AI capabilities.
  • FlashAttention-3 development optimizes AI model efficiency, reducing operational costs for Together AI.
  • Strategic investments in AI startups could lead to collaborative opportunities and technological advancements.

What critics are saying

  • Increased competition from AI startups like jhana.ai could divert potential clients.
  • Dependency on Meta's technology may influence Together AI's strategic direction.
  • Stricter AI regulations could impose additional compliance costs and operational challenges.

What makes Together AI unique

  • Together AI focuses on open-source contributions, setting it apart in the AI industry.
  • The acquisition of CodeSandbox enhances Together AI's platform with code interpretation capabilities.
  • Together AI's decentralized cloud services empower diverse organizations to deploy AI models efficiently.

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