Machine Learning Engineer

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!