
Senior Machine Learning Engineer
SRMC SolutionsContract
Required Skillset:
PythonDockerDeep LearningComputer VisionQuantizationAWSPyTorchTransformers (ViT)Self-Supervised Learning (SSL)Vision-Language Models (VLMs)Zero-Shot detectionModel Distillation (Student-Teacher networks)GCP (S3, EC2)Experiment tracking
Job Description
- 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.
What's Needed?
- 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.
What's in it for me?
- 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.
Similar Jobs
Senior Machine Learning Engineer
Mississippi
Mar 26th, 2026
Machine Learning Engineer
Remote
Mar 25th, 2026
Machine Learning Engineer
Texas
Mar 24th, 2026
Machine Learning Engineer
Connecticut
Mar 20th, 2026
Machine Learning Engineer
Texas
Mar 16th, 2026