Machine Learning Engineer
Pickle Robot Company
United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Computer Vision
Big Data
C++ (Programming Language)
Code Review
Nvidia CUDA
Python (Programming Language)
Machine Learning
Systems Integration
Pytorch
+5 more
Data Strategy
ONNX (Open Neural Network Exchange) Format
Production Code
TensorRT
Docker
Job description
- 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.
Requirements
- 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.
Benefits & conditions
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.
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