Perception ML Engineer for Autonomous Vehicles

Saildrone; Alameda (CA); On-site; USD 14,000 - 323,000; Full time

Benefits offered by this job

Generous PTO

Health coverage

Equity in compensation

401(k) retirement plan

Professional development

Relocation assistance

Job summary

Saildrone in Alameda, CA is seeking a Perception Machine Learning Engineer to develop and deploy ML-based perception for autonomous USVs. You will work across model development, data, evaluation, and production deployment.

The role emphasizes Python, PyTorch, and vision fundamentals, with options for C++ in production; you will test on real-world sensor data and bring new ML techniques into deployed systems.

Qualifications

• Strong Python programming skills.
• Hands-on experience developing computer vision or machine learning systems.
• Strong experience with PyTorch or a comparable ML framework.
• Strong understanding of computer vision fundamentals and real-world visual data.
• Experience evaluating models using quantitative metrics and experimental analysis.
• Experience taking ML or computer vision systems into production.

Responsibilities

• Develop machine-learning-based perception systems for autonomous vehicles.
• Train, evaluate, and improve computer vision models using real-world sensor data.
• Develop data and experimentation workflows to identify failure modes and improve model performance.
• Build perception capabilities for detection, classification, segmentation, depth estimation, or scene understanding.
• Analyze vehicle data and model failures to identify weaknesses and drive improvements.
• Integrate models into production perception systems.
• Bring new machine learning techniques from experimentation into deployed systems.

Skills

Python

Computer vision

PyTorch

Production deployment

Model evaluation

Tools

ONNX

TensorRT

CUDA

Job description

Saildrone in Alameda, CA is seeking a Perception Machine Learning Engineer to develop and deploy ML-based perception for autonomous USVs. You will work across model development, data, evaluation, and production deployment.

The role emphasizes Python, PyTorch, and vision fundamentals, with options for C++ in production; you will test on real-world sensor data and bring new ML techniques into deployed systems.