The Role
Design and deploy multimodal 2D/3D perception models for warehouse robots. Own model optimization, quantization, edge inference, production integration, dataset quality, active learning, and pipeline reliability. Lead code reviews, mentor engineers, and shape the perception roadmap while delivering robust computer vision systems for real-world robotic applications.
Summary Generated by Built In
About Us
At Pickle Robot, we're on a mission to automate global supply chains with Physical AI. Our robots work alongside warehouse teams to unload trucks and containers — one of the toughest, most understaffed jobs in logistics — making the work safer, faster, and more efficient for the people doing it. Loading trucks comes next, followed by the Dill Autonomy Engine: generalized autonomy that will eventually orchestrate robots across entire logistics processes.
We're looking for a dynamic, driven Senior Machine Learning Engineer to help revolutionize the future of warehouse automation. This role will focus on advancing our perception stack by refining our data engines, architecting robust 2D/3D vision models, and deploying them on production hardware so our robots can handle the chaotic reality of the physical world.
Responsibilities:
- Architect Multi-Modal Vision Systems: You will design and train models that fuse 2D inputs with 3D geometry to solve complex grasping and scene understanding tasks.
- Lead End-to-End Model Deployment: You will own the transition from research to reality. This includes model graph optimization, quantization (TensorRT), and runtime integration to ensure low-latency inference on our edge compute hardware (NVIDIA Orin).
- Drive Technical Excellence: As a senior member of the team, you will conduct rigorous code reviews, mentor junior engineers, and contribute to the strategic perception roadmap.
- Own the Data Strategy: You will take ownership of our existing labeled dataset and pipeline. You will identify bottlenecks, improve data quality, implement active learning strategies to systematically resolve edge cases and improve model robustness.
- Ensure Production Reliability: You will write high-performance production code (Python/C++) to seamlessly integrate perception outputs into the broader robotic control stack, prioritizing safety and system stability.
Skills:
- 5+ Years of Experience in Computer Vision and Machine Learning, with a track record of shipping ML products to the physical world (Robotics, AV, or IoT).
- Expert-level Python and PyTorch skills. Working knowledge of C++ for deployment and system integration.
- Experience with 2D Vision (YOLO, MaskRCNN, Transformers) and 3D Vision (PointNet, grasp generation, multi-view geometry, camera calibration).
- You are proficient with inference optimization tools such as TensorRT, ONNX Runtime, or CUDA to maximize hardware utilization.
- You have experience curating large-scale datasets, detecting statistical bias, and automating quality assurance within the ML pipeline.
- You can translate high-level product requirements into specific engineering tasks and explain technical trade-offs to non-expert stakeholders.
- Familiarity with Docker, AWS/GCP (S3, EC2), labeling platforms and experiment tracking tools.
Pay at Pickle
At Pickle Robot Company, we believe transparency builds trust. The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location.
Pickle Perks Pickle provides best-in-class benefits, including health, dental, and vision insurance; unlimited vacation; paid federal and state holidays; 401(k) contributions of 5% of your salary; company-covered travel expenses; and other perks to make your working life more fun, comfortable, and productive.
Skills Required
- 5+ years of experience in computer vision and machine learning
- Track record of shipping machine learning products to the physical world, such as robotics, autonomous vehicles, or IoT
- Expert-level Python and PyTorch skills
- Working knowledge of C++ for deployment and system integration
- Experience with 2D vision, including YOLO, Mask R-CNN, or Transformers
- Experience with 3D vision, including PointNet, grasp generation, multiview geometry, or camera calibration
- Proficiency with TensorRT, ONNX Runtime, or CUDA for inference optimization
- Experience curating large-scale datasets, detecting statistical bias, and automating machine-learning pipeline quality assurance
- Ability to translate product requirements into engineering tasks and explain technical trade-offs to nonexpert stakeholders
- Familiarity with Docker, AWS or GCP, labeling platforms, and experiment tracking tools
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The Company
What We Do
We believe the best working experience is one where machines do the heavy lifting and people do the problem solving. Our robots work with people in the messy world of warehouse loading docks, reducing the real physical pain of unloading trucks and containers radically amplifying what each person can accomplish. Founded by an exceptional cast of robotics and machine learning experts, Pickle creates robots that work alongside people in the very messy world of the loading dock, reducing the backbreaking human effort that goes into getting your online orders to your door.
