Machine Learning Engineer jobs in United States
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Vero · 1 day ago

Machine Learning Engineer

Vero is a pioneering startup at the forefront of quantum mechanics and AI, developing novel ML models that redefine what’s possible. They are seeking an ambitious engineer to bridge research and real-world applications, focusing on developing and optimizing ML models, conducting experiments, and deploying scalable AI systems.

Staffing & Recruiting
Hiring Manager
Stephen A.
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Responsibilities

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

Qualification

Developing ML modelsPythonML frameworksTime SeriesCloud AWSCloud AzureCloud GCPApplied Research SkillsQuantum EnthusiasmCollaborative & Impact-Driven

Required

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
Time 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
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

Preferred

Quantum Enthusiasm – A background in quantum mechanics, complex linear algebra, or an interest in applying quantum concepts to ML is a strong plus

Benefits

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

Company

Vero

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We help founders and leaders build high-impact teams by connecting them with exceptional talent globally, with a focus in the US.

Funding

Current Stage
Early Stage
Company data provided by crunchbase