Distributed Machine Learning Systems Engineer, Together AI
Inference
$160-220k
+ Equity
Cloud platform for building generative AI
Open for applications
Cloud platform for building generative AI
21-100 employees
Open for applications
$160-220k
+ 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
- If you are passionate about designing ML systems that operate at scale and eager to create impactful solutions, we want to hear from you
- 3+ years of experience in building large-scale, fault-tolerant, high-performance distributed systems
- Strong programming skills in one or more of Python, Go, Rust, or C/C++
- Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, and storage, performance, and scale
- Experience with cloud computing platforms (AWS, GCP, Azure etc.) and large-scale infrastructure
- Strong problem-solving skills and ability to work in a fast-paced environment
- Preferred: Experience with Kubernetes
- Preferred: Experience with Pytorch
What the job involves
- Together AI is seeking a Distributed ML Systems Engineer to design and build scalable machine learning systems that power our accelerated AI initiatives
- This role involves developing large-scale, fault-tolerant distributed systems that handle high-load and high-performance requirements
- This position offers the chance to work closely with our AI researchers and infrastructure teams to ensure our systems are robust and efficient
- Design and build large-scale, distributed machine learning systems that are fault-tolerant and high-performance
- Develop and optimize distributed processing frameworks and storage systems
- Collaborate with researchers, engineers, and product managers to integrate ML systems into our infrastructure
- Conduct architecture and design reviews to ensure best practices in system design
- Implement robust monitoring and logging systems to ensure the health and performance of our ML systems
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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