Senior Applied Machine Learning Engineer

Join a pioneering startup 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 Series A startups 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 a Senior Applied Machine Learning Engineer.

What We Offer

• Up to $300,000 base Bonus
• Equity in a rapidly growing AI startup
• Hybrid working 3 days onsite per week in NYC or Miami
• Significant scope for professional growth and cross-functional learning

Your Role

• Pivotal link between our Research team & Customers (via a client-facing team)
• 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
• Proven experience in developing and deploying ML models at scale.
• Times Series
• 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.
• 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.

Bonus

• Experience in client-facing or consulting roles
• Cloud (AWS, Azure or GCP)

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!