Senior Machine Learning Engineer - Perception

Job Description

Job Description

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.

• 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.

• 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 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. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.