Annapurna Labs
Enabling and optimizing fine-tuning on Trainium chips
For companies
Advancing machine learning technology with leading companies
Every semester we partner with companies to tackle unique machine learning challenges, and also host events with Berkeley’s wider CS/ML community.
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- Top
- Berkeley CS talent
- 7+ years
- of company partnerships
- 50+
- members across the club
Partnerships
Ways to work with us
Client projects
An experienced team ships real work over a semester and you get a direct hiring pipeline. We deliver customized solutions with structured milestones and thorough documentation.
Talks, dinners and recruiting events
Dinners, talks and recruiting events with Berkeley's CS and ML community, with every piece of the logistics handled by us. We can fill a room with up to three hundred students, or keep it to a private networking session with our members.
Resume books and custom sponsorships are available alongside any of these.
Client work
What a client project looks like
Through industry partnerships our teams tackle meaningful machine learning challenges with experienced project leaders and members. We deliver customized solutions designed to fit your company's unique technical needs.
Past client projects
Robust Intelligence
Trained a foundation model for cybersecurity
Microsoft
Developed a harness for Copilot code completion
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EagleSens
Designing and training CV models for a novel image sensor
LeanLaw
Develop an NLP model for a legal billing software company to answer client questions
HiddenLayer
Extract from black-boxed models and adversarially attack various architectures using replicated models.
Attune
Use different unsupervised/clustering models to detect anomalies in high-dimensional sensor data.
Lightspeed
Artificially stain various cellular samples using cutting edge style transfer techniques.
AI Brain
Experiment on multi-agent reinforcement learning for playing the popular sport, soccer.
Arturo
Apply Computer Vision techniques to improve tiny object detection on measuring roof debris and damage.
Tonal
Post-workout image generation using generative adversarial networks.
Ford
Predicting driver behavior to improve rider experience in autonomous vehicles using kinematics and LSTMs.
Recruiting
Sponsorship
We are grateful for our sponsors who make our work possible! Sponsors get special recruiting access and Berkeley ML exposure, ranging from features on our recruiting materials to invite-only dinners. We're flexible on how sponsorship packages are scoped based on your needs.
Ask for the sponsorship guide
