Machine Learning Operations Engineer, Together AI

MLOps

$160-240k

+ Equity

AWS

Docker

Kubernetes

GCP

Python

Tensorflow

Azure

Scikit-Learn

PyTorch

Senior level

San Francisco Bay Area

Cloud platform for building generative AI

Open for applications

Cloud platform for building generative AI

21-100 employees

B2BArtificial IntelligenceDeep TechSaaSCloud Computing

Open for applications

$160-240k

+ Equity

AWS

Docker

Kubernetes

GCP

Python

Tensorflow

Azure

Scikit-Learn

PyTorch

Senior level

San Francisco Bay Area

21-100 employees

B2BArtificial IntelligenceDeep TechSaaSCloud Computing

Company mission

To empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models.

Job

Company

Role

Who you are

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)

What the job involves

Together AI is looking for an MLOps engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs.
Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the largest LLMs
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

Our take

Founded in 2022, Together AI is a research-driven AI company that operates a cloud platform for building and running generative AI. The company also contributes to open-source research, models and datasets to advance the use of machine learning.

Together AI's platform enables developers, researchers and businesses to train, fine-tune and deploy generative AI for their needs. With Generative AI gaining a lot of attention recently, the company has some high-profile competitors such as ChatGPT, but its focus on research makes it stand out.

The company has has an incredibly strong start, evidenced by its substantial funding and Unicorn status. It is using these funds to develop its products to cater for larger organisations, as well as expanding its compute capacity across the world.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 3 rounds)

Mar 2024

$106m

SERIES A

Nov 2023

$102.5m

SERIES A

Total funding: $228.5m

Company benefits

Competitive health insurance plans
Dental and vision insurance
Pre-tax flexible spending accounts
Mental health support and services
Income protection & retirement
401(k) plan
AD&D insurance
Life insurance
STD & LTD insurance
Monthly team lunches
Flexible time off policy
Team-driven celebrations and events
Monthly commuting stipend + pre-tax bene

Company values

Empower Innovation - Everything works best when we help the open-source community work better together
Discover the magic - Our wonder, curiosity, and hope drive us to find ways to make everyone’s lives better
Do more with less - We are optimizers, making the most with what we have and not taking more than what we need
Open to any prompt - We don’t know what’s possible until we try
Model stewardship - We build everything with the purpose of benefiting society

Company HQ

The Castro, San Francisco, CA

Articles

Together lands $102.5M investment to grow its cloud for training generative AI

Announcing $106M round led by Salesforce Ventures

Leadership

Ce Zhang

(CTO)

Previously Professor at ETH Zurich, Postdoc Researcher at Stanford University and Research Assistant at University of Wisconsin-Madison.

Vipul Ved Prakash

(CEO)

Previously Senior Director at Apple, CEO and CTO at Topsy and Founder at Cloudmark.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 13 more jobs at Together AI