Senior ML Engineer — Edge AI for Physical Devices

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

Benefits offered by this job

Flexible Time Off

401(k) Retirement Plan

Health Coverage

Parental Leave

Company Engagement Events

Job summary

Goddard Technologies, Inc. in Wilmington, Massachusetts is seeking a Senior Machine Learning Engineer. This role involves ownership of the AI/ML lifecycle, from sensor data to deployment on hardware. Responsibilities include designing data pipelines, collaborating with engineers, and deploying models on edge devices. The ideal candidate has over 5 years in machine learning engineering and proficiency in Python, particularly with frameworks like PyTorch and TensorFlow. The salary range is between $140,000 and $165,000 annually.

Qualifications

• 5+ years in machine learning engineering with proven production deployment.
• Experience optimizing models for edge or resource-constrained deployments.
• Proficient in Python with experience in PyTorch or TensorFlow.

Responsibilities

• Design and implement data pipelines for sensor data.
• Train and iterate on ML models for various applications.
• Collaborate with software engineers for ML inference integration.

Skills

Machine Learning Engineering

Python

Data Quality Validation

Model Optimization

MLOps Infrastructure

Education

Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, Data Science, or related field

Tools

PyTorch

TensorFlow

TFLite

ONNX

Git

Job description

Goddard Technologies, Inc. in Wilmington, Massachusetts is seeking a Senior Machine Learning Engineer. This role involves ownership of the AI/ML lifecycle, from sensor data to deployment on hardware. Responsibilities include designing data pipelines, collaborating with engineers, and deploying models on edge devices. The ideal candidate has over 5 years in machine learning engineering and proficiency in Python, particularly with frameworks like PyTorch and TensorFlow. The salary range is between $140,000 and $165,000 annually.