Cerebrium is a machine learning platform that makes it easy for companies to fine-tune, deploy and monitor ML models in production. We abstract away the complexity that comes with managing ML infrastructure and the need to stay up to date with the latest ML research and technologies.
As a ML Engineer, you'll work closely with our team to build and help scale our clients workloads. You will help implement, fine-tune and optimize open-source models as well as help businesses with their models in production. You will also constantly be experimenting with the latest research and frameworks to make sure we are delivering the best product to our customers.
The ideal candidate has experience experimenting, building and scaling ML models in product and is willing to squeeze performance out of a GPU. Additionally, you should be able to communicate complex topics clearly and work closely with customers - typically they are all machine learning engineers and software engineers so these should be your people
How we work:
- We focus on output. We don’t care what hours you work or from where you work. Just do what it takes to meet your weekly sprint. Finished early or just not having a good day - take the day.
- We have a flat structure and want to constantly to be challenged by you. In terms of product and company decisions.
- We ship multiple times a week - every time we can add value to the customer we ship it. Also you do weekly demos to team members on what you have been building.
- We offer a remote, international work environment and only require 4 hours overlap with the team (we work on EST).
Responsibilities:
- Implement and maintain the latest open-source models.
- Optimize fine-tuning and model inference using various techniques and frameworks.
- Help businesses and developers get their models into production - we chat with them in Slack and Discord
Qualifications:
- Experience in fine-tuning, deploying and improving on open-source models
- You can squeeze every last drop of performance out of a GPU.
- You have experience across a wide variety of frameworks such as Pytorch, Spacy, Onnx etc
- You've worked with model compression techniques like pruning and distillation.
- You are an ML enthusiast - you read about ML in your spare time and are always trying new things based on the latest
Bonus Qualifications (if you wanna show off):
- Experience with CUDA and NVIDIA libraries such as TensorRT,
- Experience with fine-tuning libraries such as DeepSpeed or PEFT
- Wide array of ML experience Vision, Language, Audio, Regression etc
Where will you be in a year:
A big part of our company is to focus on you, the team, so you can focus on the customer. So there is a few things we hope will happen in a year:
- You will be 2x the engineer you were when you joined working with new technologies and problems you haven’t before.
- You have been able to connect with the brightest people either on our team or in industry to solve some of the toughest challenges
- Your work isn’t getting any easier - you are challenged daily
- You are a leader in a growing company
- Most importantly, you are happy. Work is a large part of your life - so you must enjoy it
Why should I join - sell me this pen:
- We are growing quickly (40% WoW) that we can’t build product fast enough for our users.
- We are working with top companies from Seed to Series B.
- We don’t micro manage.
- We are helping companies build the next generation of software through machine learning.
- We are becoming the preferred product for our users and we are doing it with half the team size
Benefits
- Competitive salary and meaningful equity
- Flexible work environment – work remotely from home or from a WeWork which we sponsor
- Health, dental, and vision benefits with 80% coverage for you
- Unlimited PTO
- Opportunities to speak and participate in events across the Cloud Native community
- 2-3 company off-sites a year. We have previously done Tulum and Greece.
- Learning budget, and much more
Cerebrium
