Senior Machine Learning Engineer (Research & Computer Vision)

Our US-based client is seeking a highly skilled Senior Machine Learning Engineer (Research & Computer Vision) to join their advanced AI research team. This organization is a leader in data intelligence and machine learning innovation, developing cutting-edge solutions that influence consumer decision-making at the point of purchase. Their AI technologies are deployed at scale and support major global brands across Consumer-Packaged Goods, Health & Well-Being, Technology, and Retail industries.

This is an opportunity to operate at the intersection of applied research and production AI systems, where your work will directly power large-scale, real-world deployments.

What You'll Do

Research & Innovation

• Lead the design and development of advanced computer vision and deep learning systems — from concept and experimentation to validated prototypes.

• Translate state-of-the-art research papers into scalable, production-ready solutions.

• Extend and adapt modern ML methodologies to solve complex, real-world problems.

Research to Production

• Own the full ML lifecycle: data collection, aggregation, modeling, evaluation, deployment, monitoring, and automated retraining.

• Develop high-performance, production-grade models capable of operating at scale.

• Ensure robustness, performance optimization, and continuous improvement of deployed systems.

Infrastructure & MLOps

• Design and optimize CI/CD pipelines for machine learning systems.

• Build automated model retraining and monitoring workflows (including model drift detection).

• Leverage cloud-based ML infrastructure (Azure ML preferred) for distributed training and scalable deployment.

Collaboration & Technical Leadership

• Work independently within a collaborative, cross-functional team.

• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

• Contribute to architectural decisions and long-term AI strategy.

What You'll Bring

Essential Qualifications

• PhD in Machine Learning, Computer Science, Applied Mathematics, or a related field (or equivalent industry experience).

• 5+ years of hands-on experience in computer vision and deep learning.

• Strong expertise in Python (NumPy, Pandas, Scikit-learn) and SQL.

• Experience with modern deep learning frameworks such as PyTorch, TensorFlow, or JAX.

• Strong grounding in classical ML techniques (SVM, clustering, boosting, etc.).

• Proven ability to independently implement and adapt complex ML research into production systems.

• Experience building CI/CD pipelines and automated ML retraining systems.

• Must reside within commuting distance of a company office.

Preferred Qualifications

• Publications in premier conferences (CVPR, ECCV, ICCV, ICML, NeurIPS, SIGGRAPH).

• Experience with RLHF, iterative retraining approaches, and model drift detection.

• Familiarity with diffusion models, transfer learning, and multimodal datasets.

• Experience working with terabyte-scale datasets and training large-scale models (100M–1B+ parameters) in multi-GPU environments.

• Experience with Azure ML and LLM integration within production pipelines.

Working Conditions

• Hybrid

• US working hours

• Full-time