About Us
Chakra Labs' mission is to encode human taste into intelligence. We source differentiated, proprietary data from end consumers — giving AI teams access to mission critical datasets for inference and post-training
Why you should work with us
• You will get to touch the latest and greatest technologies across the data, AI, and infrastructure stack.
• You will get mentored by an experienced and qualified team. Some of our people:
• Nirmal Krishnan - CEO
• Formerly: Microsoft, Hedge Fund, Head of Engineering at Artemis.
• Alex Fung - CTO
• Formerly: Snap for 5+ years (built Snap Map, led Snap’s crypto efforts), Founding Engineer at TipLink
• You will get paid a very competitive cash package with top benefits and a $30 daily meal stipend. We also provide a compelling equity package.
Why you shouldn’t work with us
• This is our life’s work. We have fun, but we work hard. If you want to clock a 9-5, this probably isn’t a great fit.
• There’s no clear playbook for success. Data and AI are constantly shifting. Adding in a distributed component in terms of sourcing labor - we are constantly learning and shifting. While we have a clear mission and vision, if you’re uncomfortable with ambiguity this role will be challenging for you.
About You
• You have a Master / PhD level knowledge of machine learning. You understand the fundamentals of linear algebra, stochastic gradient descent, and can derive linear regression by hand.
• Post-training & Environments. You are comfortable running SFT across distributed GPU clusters using FSDP. You have an appetite to improve existing models using high-quality data and are capable of reasoning about new environments and online RL (GRPO, PPO).
• Python (FastAPI, PyTorch, etc.): REST APIs, back-end, vector-math. You can derive some high level abstractions in Torch using lower level primitives.
• Experience: we don’t believe in hard and fast rules here. Roughly 3-5 years of experience is what we’re looking for, but more or less experience works as long as the above expectations resonate with you.