JDs intro: “What we’re building”

Why this role matters

We believe in a multi-model future. The world won't have one single, giant model that everyone sends everything to—instead, there will be many foundation models, millions of fine-tuned variants of those models, and billions of agents and other custom inference engines running on top of them. We believe this is not only a better future for AI, but a safer one as well. But for this to happen requires massive infrastructure shifts that can enable us to better ensemble diverse models together. We started Not Diamond to enable this multi-model future.

As a machine learning engineer at Not Diamond, you’ll work closely with myself and our founding team to help define and execute our technical vision and contribute to a world-class research and engineering organization. We want to work with immensely thoughtful, voraciously curious, and mission-driven contributors. You will play a pivotal role in helping us optimize and scale our data infrastructure, drive precision analytics across all product and backend surfaces, support AI/ML product development, and improve the value customers derive from their data. Ideally we’re looking to work with folks who have at least 6+ years of experience with ML engineering with strong familiarity of Python, experience flexing into MLOps, ML research, and backend engineering, and have built ML products from 0 to 1.

We’re offering a competitive salary, generous equity, and robust benefits, with the option to start on a contract-to-hire basis. And while we think of this as an opportunity to build a generational company from the ground-up, we also guarantee an investment in your next startup if you ever decide to build something yourself in the future. Our team is guided by top-percentile ambition, constant learning, and a bias towards action, and our focus on execution is rooted in a dedication to emotional intelligence, high integrity, and the ability to work through healthy conflict. You can read some notes on our culture here.

Ideal qualities

Complementary qualities

Your work background might include the core skills listed above along with other unconventional or complementary experiences. In that spirit, we might collaborate well together if you also have:

Compensation, benefits, and perks

To apply

Please apply below and we’ll get back to you within 24 hours.