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Member of Technical Staff, AI Research

Job in New York, New York County, New York, 10261, USA
Listing for: Chakra Data Warehouse
Full Time position
Listed on 2025-12-22
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Machine Learning/ ML Engineer, Data Engineer
Job Description & How to Apply Below
Location: New York

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 Tip Link

  • 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.

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