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.
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.
Pickle Robot Company Cambridge, Massachusetts, USA Office
Cambridge, MA, United States, 02139
Similar Jobs
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Design and develop auto-labeling algorithms for autonomous driving, collaborating with ML engineers to enhance data quality and efficiency in model training.
Top Skills:
Data Management ToolsRay
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Lead the development of machine learning algorithms focusing on perception for autonomous driving, collaborating across teams and mentoring ML developers.
Top Skills:
C++Deep LearningMachine LearningPython
Artificial Intelligence • Cloud • Information Technology • Consulting
Coordinates post-sales customer support for enterprise and service-provider accounts. Leads case-status calls, tracks customer network plans, reviews performance trends, manages technical and non-technical escalations, and advocates for customers across HPE teams. Requires networking knowledge, customer-facing experience, strong communication and leadership skills, and willingness to travel up to 15%.
Top Skills:
Cloud Provider NetworksCore And Edge RoutingDatacenter EnvironmentsNetwork ManagementSwitching Technologies
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
