Goddard Technologies

Senior Machine Learning Engineer – Physical AI

Wilmington, MA · Senior

Sponsorship not specified$140k-$165kDetected 21 days ago

PythonC++Code ReviewGitCI/CDMachine LearningTensorFlowPyTorchData EngineeringData ScienceMLOpsEmbedded SystemsRoboticsElectrical EngineeringSignal ProcessingSensorsFDA RegulatoryMedical DevicesCommunicationCollaborationProblem Solving

About the role

You will work directly with embedded software, hardware, and systems engineers to bring AI capabilities into physical devices, and you will be accountable for the quality, reliability, and maintainability of every layer you touch.
If you take pride in understanding how your model actually behaves on device, have strong opinions about data quality, and hold yourself to a high bar without being told to, you will thrive here.

Responsibilities

Design and implement data pipelines for sensor data ingestion, preprocessing, labeling, and curation, ensuring data quality from collection through training.
Optimize models for deployment on edge and embedded targets, applying quantization, pruning, and distillation techniques to meet latency and memory constraints.
Deploy models to constrained hardware using TFLite, ONNX, TensorRT, or equivalent runtimes, and validate end-to-end inference behavior on target devices.
Collaborate with embedded software engineers to integrate ML inference into device firmware and software stacks, defining clear interfaces and performance contracts.
Build and maintain MLOps infrastructure: experiment tracking, model versioning, automated evaluation pipelines, and CI/CD for models.
Work with hardware and systems teams on sensor selection, data collection protocol design, and validation methodology.
Document model development, training procedures, validation results, and known limitations to support regulatory submissions and internal quality systems.
Design and execute rigorous model validation: statistical test set design, distributional shift analysis, out-of-distribution detection, and confidence calibration, particularly for safety-relevant outputs.
statistical test set design, distributional shift analysis, out-of-distribution detection, and confidence calibration, particularly for safety-relevant outputs.
you own the behavior of the physical system end to end, from fieldbus packet to actuator response, and you do not hand problems off at the first sign of ambiguity.

Requirements

Programming: Strong proficiency in Python
hands-on experience with PyTorch or TensorFlow for model development and training.
Model Optimization: Working knowledge of quantization, pruning, knowledge distillation, and other techniques for reducing model footprint and inference latency.
MLOps: Proficiency with experiment tracking tools (MLflow, Weights & Biases, or equivalent), model registries, and automated evaluation and testing workflows.
Embedded Literacy: Working proficiency in C or C++ sufficient to read, review, and meaningfully collaborate on embedded inference integration code
ability to reason about memory layout, execution constraints, and cross-language interface boundaries.
Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, Data Science, or a related field required.
We use an interdisciplinary development process that combines our diverse engineering experience with creative industrial design solutions.
Strong proficiency in Python
Working knowledge of quantization, pruning, knowledge distillation, and other techniques for reducing model footprint and inference latency.

Nice to have

Background in robotics or autonomous systems, including sensor fusion, perception, or closed-loop control.
Experience in a startup or small-team environment where scope, tooling, and process are built alongside the product.
Problem-solving depth: you are not satisfied with a system that works most of the time
Direct, clear communication: you write well, translate hardware constraints into software requirements for ML collaborators, and surface timing and safety risks early.
Company Engagement: Engage with your colleagues through a variety of regular company and team events, including weekly social hours, Athletic Club outings, and department outings.
Advanced degree is a plus but not a substitute for hands-on experience shipping models to real systems Our

Compensation

140,000 - 165,000 USD per year (Wilmington Office)
Goddard contributes 3% of your annual salary directly into your 401(k) account-regardless of your own contributions.
The pay range for this role is: 140,000 - 165,000 USD per year (Wilmington Office)

Benefits

Flexible Time Off: Benefit from our generous flexible time off policy.
We also provide sick leave and bereavement time because we understand that not all time off is for fun.
Retirement Savings: Invest in your future with a 401(k)-retirement plan.
Health Coverage: Access to comprehensive medical, dental, and vision insurance for you and your family.
Goddard contributes 80% of monthly premiums for all medical plan options.
Family Support: To take the time you need to welcome the newest member of your family, Goddard offer 6 weeks fully paid parental leave with support of PFML state programs.
you identify gaps in integration coverage, tooling, and system reliability on your own, and you close them without waiting to be asked.

Company info

Through inspired engineering and design, we deliver outstanding solutions that positively impact lives.
We succeed when our partners succeed - it's all about solving the most complex challenges by creating transformative technology.
Our Culture and People: At Goddard, our most important asset is our people.
We don't just work together; we thrive together.
We foster a culture of collaboration, continuous learning, and mutual support.
We believe in taking exceptionally good care of each other because great teams build great solutions.
If you are someone who embodies the values of accountability, inspiration, dedication, efficiency, innovation, integrity, quality, and reliability, we want you on our team.
Come be a part of a workplace where your ideas are valued, your growth is encouraged, and your contributions make a real impact.
Join us in shaping the future of transformative technology - together.
At Goddard, our most important asset is our people.
Engage with your colleagues through a variety of regular company and team events, including weekly social hours, Athletic Club outings, and department outings.

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