> Markdown version of [/jobs/ext/4632990-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4632990-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Energize Group - **Location:** Boston, MA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Python (Programming Language), Machine Learning, Language Modeling, Pytorch, Deep Learning, Discretization, Build Tools, Machine Learning Operations, Docker - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25303_36f2c495d40229f6bf9e097a2eb1ad65 ## About the Role * 5+ years of experience in computer vision and deep learning, ideally in applied research or advanced R&D * Strong experience with modern ML architectures including Transformers (ViT), self-supervised learning, VLMs, or zero-shot detection * Expert-level Python and PyTorch skills * Experience tackling difficult perception challenges such as occlusions, reflective surfaces, and variable lighting * Experience with model distillation, quantization, or deploying ML models to edge hardware * Ability to communicate complex AI research concepts to engineering and product stakeholders * Familiarity with Docker, AWS/GCP, experiment tracking tools, and modern ML infrastructure ## Description * Develop ML strategies to detect and handle rare or unexpected events in robotic perception pipelines * Adapt and fine-tune foundation models and vision-language models for robotic manipulation tasks * Build systems capable of zero-shot or few-shot generalization in real-world warehouse environments * Distill large, compute-heavy models into efficient, low-latency networks for edge deployment (NVIDIA Orin) * Translate academic breakthroughs in computer vision and machine learning into production-ready robotics systems * Mentor junior engineers and contribute to technical direction within the perception and ML team