Senior ML Engineer: Edge AI for Physical Devices

Goddard Technologies; Wilmington (MA); On-site; USD 140,000 - 165,000; Full time

Benefits offered by this job

Flexible time off

401(k) retirement plan with 3% company contribution

Comprehensive medical, dental, and vision insurance

Paid parental leave

Job summary

Goddard Technologies is looking for a Senior Machine Learning Engineer in Wilmington, MA, to lead the AI/ML foundation of their physical AI initiative. The role requires ownership of the entire ML lifecycle, optimizing models for deployment on hardware. Candidates should have 5+ years of experience in machine learning engineering, strong Python skills, and a background in edge deployment and data engineering. The position offers comprehensive health coverage, flexible time off, and a competitive salary range of $140,000 - $165,000 per year.

Qualifications

• 5+ years in machine learning engineering with proven track record.
• Strong proficiency in Python and experience with PyTorch or TensorFlow.
• Experience optimizing and deploying models to edge targets.

Responsibilities

• Design and implement data pipelines for data ingestion and preprocessing.
• Train, evaluate, and iterate on ML models for various applications.
• Optimize models for deployment on edge and embedded targets.

Skills

Machine learning engineering

Python

ML model deployment

Data quality validation

MLOps

Cross-domain collaboration

Education

Bachelor's degree in Computer Science

Advanced degree (optional)

Tools

PyTorch

TensorFlow

TFLite

ONNX

MLflow

Job description

Goddard Technologies is looking for a Senior Machine Learning Engineer in Wilmington, MA, to lead the AI/ML foundation of their physical AI initiative. The role requires ownership of the entire ML lifecycle, optimizing models for deployment on hardware. Candidates should have 5+ years of experience in machine learning engineering, strong Python skills, and a background in edge deployment and data engineering. The position offers comprehensive health coverage, flexible time off, and a competitive salary range of $140,000 - $165,000 per year.