Senior Machine Learning Engineer
TechotlistContract
Required Skillset:
PythonDockerS3QuantizationAWSGCPEC2PyTorchTransformers (ViT)Self-Supervised Learning (SSL)Vision-Language Models (VLMs)Model Distillation (Student-Teacher networks)NVIDIA Orin
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.
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