Machine Learning Engineer Job at Vero in new york

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 (Base + Bonus)
• Equity in a rapidly growing AI start up
• 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
• 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.
• 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.
• 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!

#J-18808-Ljbffr