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# Machine Learning Engineer

- **Company:** Vero Inc
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Tensorflow, Reinforcement Learning, Pytorch, Deep Learning, Generative AI, Scikit Learn, Machine Learning Operations
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25303_1cf6d59f9cc1578c8080c8b02cc6646a

## About the Role

* 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?

## Description

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., * 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.