Senior Machine Learning Engineer
Listed on 2026-03-01
-
Engineering
AI Engineer, Software Engineer
Our client, a leader in warehouse automation technology, is seeking a dedicated and innovative Senior Machine Learning Engineer to join their team. As a Senior Machine Learning Engineer, you will be an integral part of the R&D department supporting cutting‑edge solutions in robotic perception and supply chain automation. The ideal candidate will demonstrate strong problem‑solving skills, a passion for technological advancement, and a collaborative spirit that aligns with the organization’s commitment to innovation and excellence.
Job Title: Senior Machine Learning Engineer
Location: Charlestown, Massachusetts
What's the Job?- Tame the Long Tail:
Develop strategies to detect and handle rare events such as novel packaging, damaged goods, and occlusion that challenge traditional detection methods. - Leverage Foundation Models:
Adapt and fine‑tune large‑scale foundation models for specific robotic manipulation tasks to achieve zero‑shot generalization capabilities. - Model Optimization:
Transform large, compute‑heavy models into efficient, lightweight networks capable of low‑latency performance on edge compute platforms like NVIDIA Orin. - Drive Technical Excellence:
Stay ahead of the latest CV/ML research, translate breakthroughs into production‑ready solutions, and mentor junior engineers to foster a culture of continuous learning. - Collaborate across teams to bridge academic research with real‑world robotic deployment, ensuring innovative solutions are reliable and scalable.
- 5+ Years of experience in Computer Vision and Deep Learning, with a focus on applied research or advanced R&D.
- Hands‑on experience with modern architectures such as Transformers (ViT), Self‑Supervised Learning (SSL), Vision‑Language Models (VLMs), or Zero‑Shot detection.
- Expert‑level proficiency in Python and PyTorch for developing and deploying machine learning models.
- Experience with Model Distillation (Student‑Teacher networks) and Quantization techniques to optimize models for edge deployment.
- Familiarity with Docker, cloud platforms like AWS or GCP (S3, EC2), and experiment tracking tools to streamline development workflows.
- Opportunity to work on groundbreaking projects that impact warehouse automation and supply chain efficiency.
- Collaborate with a talented team of researchers and engineers dedicated to innovation.
- Engage in continuous learning and professional development through exposure to the latest AI research.
- Contribute to a forward‑thinking organization committed to technological advancement and operational excellence.
- Be part of a dynamic environment that values diversity, inclusion, and the pursuit of excellence.
- Medical and Prescription Drug Plans
- Dental Plan
- Vision Plan
- Health Savings Account
- Health Flexible Spending Account
- Dependent Care Flexible Spending Account
- Supplemental Life Insurance
- Short Term and Long Term Disability Insurance
- Business Travel Insurance
- 401(k), Plus Match
- Weekly Pay
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
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