Machine Learning Engineer, Together AI
Fine-Tuning API
$160-230k
+ Equity
Cloud platform for building generative AI
Open for applications
Cloud platform for building generative AI
21-100 employees
Open for applications
$160-230k
+ Equity
21-100 employees
Company mission
To empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models.
Role
Who you are
- Have 2+ years of experience building and deploying machine learning-based services in a production environment
- Have working knowledge of latest methods for fine-tuning LLMs or other AI models
- Have a strong software engineering background in Python or Go
- Are passionate about making reliable and convenient tools for software developers
- Follow latest advances and trends in the Machine Learning community
Desirable
- Developing large-scale and high-load production systems
- Implementation and design of advanced methods for efficient fine-tuning
- Maintaining or contributing to open-source ML projects
- Managing machine learning workloads on Kubernetes clusters
What the job involves
- As an ML Engineer within the Fine-Tuning API team at Together AI, you will develop a platform that allows our users to customize open-source models with their data
- You will collaborate with our product and research teams, developing features that will enable new use cases for the Fine-Tuning API
- You will also work with the engineering team to ensure that our API is reliable and well-integrated into the company’s technical infrastructure
- You will have an opportunity to build the foundational layer of the open-source AI ecosystem, letting developers all over the world efficiently create high-quality models tailored to their application scenarios
- Build and improve Together’s systems and infrastructure for customizing open-source models
- Create tooling and documentation to set our users up for success with the Fine-Tuning API
- Make sure the service is stable and robust, participating in an on-call rotation and ensuring 24/7 availability of our platform
- Analyze and increase the efficiency of fine-tuning methods, both from research and engineering perspectives
- Develop new features and capabilities for the API based on latest research in AI
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
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
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.
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