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Applied Machine Learning Engineer | KE Technology

Applied Machine Learning Engineer

  New York

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Reference #: AppliedMLeng@AIquantum
Location: New York
Salary: Up to $300,000 base + Bonus +Equity
Sector: Engineering
Type: Permanent
Posted On: 28/03/2025

Join a pioneering startup at the forefront of quantum mechanics and AI, developing 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 an 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 - 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.

Bonus

  • Experience in client-facing or consulting roles

 

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!