Machine Learning Engineer
Posted 10ds ago
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Job Description
Machine Learning Engineer designing and evaluating deep learning models for agricultural robotics applications. Collaborating with engineers and product teams to enhance model performance in real-world scenarios.
Responsibilities:
- Design and train modern computer vision models (CNNs, Vision Transformers, foundation models) to solve novel perception tasks
- Build and maintain scalable training pipelines using PyTorch and HPC infrastructure (e.g., Slurm, distributed training)
- Develop data curation and active learning workflows
- Optimize models for deployment (ONNX, TensorRT, containerization)
- Test and validate models in both cloud and edge environments
- Build reproducible experimentation workflows (version control, experiment tracking, configuration management)
- Drive experimental cycles: define hypotheses, implement techniques from literature, evaluate results, and present recommendations
- Translate research ideas into production-ready implementations
- Design, implement, and test ML-related components and supporting software
- Perform statistical analysis and fine-tune model performance based on production and field feedback
Requirements:
- 3+ years of full-time professional experience in computer vision-focused machine learning (not student internship)
- Strong PyTorch experience, including custom layers, loss functions, datasets, dataloaders, and training loops
- Experience with modern vision architectures (CNNs, ViTs, DETR-style models, foundation models)
- Experience building or contributing to production ML systems
- Solid software engineering fundamentals (testing, version control, clean code principles)
- Strong communication skills and ability to explain complex technical topics clearly
- Engineering degree or equivalent practical experience
Benefits:
- Pre-IPO stock options (tax-advantaged ISOs)
- Competitive base salary
- Medical, dental, and vision insurance - 100% of premiums paid for employees and 85% of premiums paid for dependents
- Generous paid time off and holidays
- 401(k) Plan
- An inclusive and tight company culture that is mission driven




















