Myriad Venture Partners, LLC
Not Diamond is a multi -model AI infrastructure platform that helps enterprise AI/ML seamlessly assess, onboard, and optimize new AI models through evaluation, automatic prompt adaptation, intelligent model routing, and continuous monitoring. Instead of waterfalling development inefficiently through one model at a time, we help leading startups and Fortune 100s save tens of thousands of engineering hours and improve output accuracy up to 35% by evaluating all candidate model and parameter configurations in parallel through our data-driven platform. We’re backed by Defy VC and angels like Jeff Dean (Google), Julien Chaumond (Hugging Face), Ion Stoica (Anyscale, Databricks), Zack Kass (OpenAI), Tom Preston-Werner (Github), Scott Belsky (Adobe), Jeff Weiner (LinkedIn), Eoghan McCabe (Intercom), Alex Chung (Giphy), and many more.
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 hundreds of foundation models, millions of fine-tuned variants of those models, and billions of 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 researcher 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 proposing and conducting novel ML research, designing and developing new ML-driven features for our core product, implementing them in production-grade code, and informing decisions for secure, reliable, and scalable supporting infrastructure. Ideally we’re looking to work with folks who have over 5 years of research experience with a focus in language models, agents, reinforcement learning, evaluation, multi-modality, routing, recommendations, and/or privacy. We’re offering a competitive salary, generous equity, and robust benefits. 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 . 6+ years of ML engineering with strong familiarity of Python Experience flexing into MLOps, ML research, and backend engineering Experience building ML products from 0 to 1 Leadership, hiring, and management skills Exceptional communication skills and emotional intelligence Exceptionally versatile and high ownership 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: Strong OSS contributions / developer community engagement *(nice to have)* Experience scaling an early stage company of
Compensation, benefits, and perks
Competitive salary and generous equity Beautiful San Francisco and New York office spaces Full remote friendly policy Unlimited paid time off Paid parental leave $3000 yearly personal equipment and personal development stipend ($50K*years at Not Diamond) investment in your next startup To apply
Email me at t7@notdiamond.ai and I’ll get back to you within 24 hours. If this isn’t the right role for you
Please take a moment to reflect on the 1 or 2 most brilliant collaborators you’ve ever worked with and consider whether this might be a fit for them. We offer $10K for a successful referral. You can also let us know what you’re looking for in your next role and we can try to connect you to other companies who might be relevant—we’re close with a wide network of frontier AI startup founders. If you can think of a different way of contributing to what we’re building, please get in touch. Our team
We are a small team of serial founders and ML/AI engineers who have built venture scale companies, led growth from 0 to tens of millions in revenue, shipped code to billions of users, and published in top AI journals. **Alejandro Companioni, founding engineer **Former senior MLE, Spotify, Stitchfix, Devoted Health Former founding engineer, Scale Model (Betaworks) Former data scientist, Knewton MS in Computer Science at New York University LinkedIn **Chris Chen, founding head of revenue **Former head of revenue at Noyo, CRO at Promise, COO at Verikai, SVP Sales at Yodlee, head of strategic partnerships at WePay, founder and CEO at Vitality MBA at Stanford GSB BA in Economics at University of Michigan LinkedIn **Csongor Barabasi, founding engineer **Former cofounder, FUEL Former head of engineering, Weezy Former founder, Machine Intelligence Academy BSc in CS and AI at University of Birmingham LinkedIn **Devansh Jain, founding ML researcher **Graduate research assistant, CMU Research associate, UPenn MS in AI at CMU BE in CS at BITS Pilani LinkedIn Google Scholar **Dragos Nedelcu, founding engineer **Former full-stack engineer, Bonsai Labs Former senior frontend engineer, Groundfog, PitechPlus MS in sports therapy, Universitatea Ștefan cel Mare din Suceava LinkedIn **Huiru Jiang, founding engineer **Former Director of Engineering, Octane Former data/backend engineer, Chartbeat, Real Capital Analytics, Strategic Insight BA in Political Science, University of Chicago LinkedIn **Jeffrey Akiki, COO **Former AI research fellow, UC Davis Former data-driven growth lead, On Deck Former AI investor, Bolt MS in Data Science and ML at Columbia LinkedIn **John McCusker, founding designer **Former founding head of design, Earth Former senior UX/UI designer, On Former UI designer, Merge Records BA in Cultural Studies at UNC Chapel Hill LinkedIn **Tze-Yang Tung, CTO **Former ML researcher, engineer Bell Labs Former co-founder wAIveform PhD in AI at Imperial College London MS in Electrical Engineering at USC LinkedIn Google Scholar Interested in this job? Let the hiring team at Not Diamond contact you! Click I’m interested and enter your Linkedin profile and preferred contact information. First name Last name Email Phone LinkedIn Resume/CV Catalyzing connections, propelling possibilities.
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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 hundreds of foundation models, millions of fine-tuned variants of those models, and billions of 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 researcher 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 proposing and conducting novel ML research, designing and developing new ML-driven features for our core product, implementing them in production-grade code, and informing decisions for secure, reliable, and scalable supporting infrastructure. Ideally we’re looking to work with folks who have over 5 years of research experience with a focus in language models, agents, reinforcement learning, evaluation, multi-modality, routing, recommendations, and/or privacy. We’re offering a competitive salary, generous equity, and robust benefits. 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 . 6+ years of ML engineering with strong familiarity of Python Experience flexing into MLOps, ML research, and backend engineering Experience building ML products from 0 to 1 Leadership, hiring, and management skills Exceptional communication skills and emotional intelligence Exceptionally versatile and high ownership 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: Strong OSS contributions / developer community engagement *(nice to have)* Experience scaling an early stage company of
Compensation, benefits, and perks
Competitive salary and generous equity Beautiful San Francisco and New York office spaces Full remote friendly policy Unlimited paid time off Paid parental leave $3000 yearly personal equipment and personal development stipend ($50K*years at Not Diamond) investment in your next startup To apply
Email me at t7@notdiamond.ai and I’ll get back to you within 24 hours. If this isn’t the right role for you
Please take a moment to reflect on the 1 or 2 most brilliant collaborators you’ve ever worked with and consider whether this might be a fit for them. We offer $10K for a successful referral. You can also let us know what you’re looking for in your next role and we can try to connect you to other companies who might be relevant—we’re close with a wide network of frontier AI startup founders. If you can think of a different way of contributing to what we’re building, please get in touch. Our team
We are a small team of serial founders and ML/AI engineers who have built venture scale companies, led growth from 0 to tens of millions in revenue, shipped code to billions of users, and published in top AI journals. **Alejandro Companioni, founding engineer **Former senior MLE, Spotify, Stitchfix, Devoted Health Former founding engineer, Scale Model (Betaworks) Former data scientist, Knewton MS in Computer Science at New York University LinkedIn **Chris Chen, founding head of revenue **Former head of revenue at Noyo, CRO at Promise, COO at Verikai, SVP Sales at Yodlee, head of strategic partnerships at WePay, founder and CEO at Vitality MBA at Stanford GSB BA in Economics at University of Michigan LinkedIn **Csongor Barabasi, founding engineer **Former cofounder, FUEL Former head of engineering, Weezy Former founder, Machine Intelligence Academy BSc in CS and AI at University of Birmingham LinkedIn **Devansh Jain, founding ML researcher **Graduate research assistant, CMU Research associate, UPenn MS in AI at CMU BE in CS at BITS Pilani LinkedIn Google Scholar **Dragos Nedelcu, founding engineer **Former full-stack engineer, Bonsai Labs Former senior frontend engineer, Groundfog, PitechPlus MS in sports therapy, Universitatea Ștefan cel Mare din Suceava LinkedIn **Huiru Jiang, founding engineer **Former Director of Engineering, Octane Former data/backend engineer, Chartbeat, Real Capital Analytics, Strategic Insight BA in Political Science, University of Chicago LinkedIn **Jeffrey Akiki, COO **Former AI research fellow, UC Davis Former data-driven growth lead, On Deck Former AI investor, Bolt MS in Data Science and ML at Columbia LinkedIn **John McCusker, founding designer **Former founding head of design, Earth Former senior UX/UI designer, On Former UI designer, Merge Records BA in Cultural Studies at UNC Chapel Hill LinkedIn **Tze-Yang Tung, CTO **Former ML researcher, engineer Bell Labs Former co-founder wAIveform PhD in AI at Imperial College London MS in Electrical Engineering at USC LinkedIn Google Scholar Interested in this job? Let the hiring team at Not Diamond contact you! Click I’m interested and enter your Linkedin profile and preferred contact information. First name Last name Email Phone LinkedIn Resume/CV Catalyzing connections, propelling possibilities.
#J-18808-Ljbffr