Join a pioneering start up at the forefront of quantum mechanics and AI - developing novel ML models that redefine what’s possible. Backed by top-tier investors, we rank among the top 1% of pre-series start ups globally, offering a rare opportunity to shape the future of AI.

If you’re an ambitious engineer eager to bridge research and real-world applications, this is your chance to make a lasting impact as ML/AI Engineer.

What We Offer

Up to $300,000 total comp
Equity in a rapidly growing AI startup
Hybrid working 3 days onsite per week in New York
Significant scope for professional growth and cross-functional learning

Your Role

Develop & Optimize novel ML Models – Work with real world data, design and benchmark ML experiments, and communicate insights that drive improvements
Blending Engineering & Research
Engineer: You’ll develop and refine ML pipelines, ensure reproducibility and scalability, and assist in integration and deployment.
Researcher: You’ll conduct advanced experiments, test new ideas, and produce actionable insights for the Research team to incorporate into the core model
Benchmark & Experiment – Conduct rigorous benchmarking, performance evaluations, and model optimization to push the limits of ML performance.
Collaboration & Execution - Collaborate with researchers, stakeholders, and client-facing teams to ensure alignment on project requirements.
Deploy Scalable AI Systems – Build production-ready ML that integrate seamlessly into real-world applications.

Requirements

Education - Bachelor’s or Master’s in a related field
3-7 years of experience
Proven experience in developing and deploying ML models at scale.
ML techniques – Some of: Neural Networks, Probabilistic Models, gen AI, Active Learning, Reinforcement Learning
Python
ML frameworks (PyTorch, JAX, Tensorflow) and deep learning industry developments
Strong understanding of ML fundamentals (regression, classification, clustering, performance metrics) and scikit-learn.
Quantum Enthusiasm – A background in quantum mechanics, complex linear algebra, or an interest in applying quantum concepts to ML is a strong plus.
Cloud (AWS, Azure or GCP)
Applied Research Skills – Ability to design experiments, analyze performance metrics, and iterate rapidly.
Collaborative & Impact-Driven – Comfortable working in cross-functional teams, translating research insights into practical AI solutions.

Ready to Shape the Future?

If you’re excited about working on a new ML paradigm that’s transforming multiple high-impact sectors, apply now!

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