Source One Technical Solutions
Senior ML/AI Engineer – Autonomous Vehicle (Ann Arbor, MI)
Source One Technical Solutions is looking for a senior Machine Learning/Artificial Intelligence Engineer to work as a consultant for a leading autonomous vehicle client in Ann Arbor, MI.
Pay Range:
$90.00/hr – $120.00/hr (W‑2)
Employment Type:
Contract
As a Senior ML/AI Engineer, you will:
Design, develop, improve, and maintain reusable software components, frameworks, and tools primarily written in Python, while leading the development of ML features.
Lead development of ML features in collaboration with cross‑functional counterparts.
Apply expertise in supervised and unsupervised learning methodologies.
Dive into the technology stack, learning across layers and developing solutions with sound design principles, extensibility, and quality in mind.
Required Skills:
At least a bachelor’s degree in engineering, computer science, or a related field.
5+ years of professional software development experience.
Experience with supervised and unsupervised learning methods.
Experience deploying ML solutions to hardware platforms.
Time‑signal processing experience and computer vision experience.
Experience writing scalable, reusable code in Python or similar.
Experience writing GitHub Actions or similar CI/CD tools (Jenkins, etc.).
Generalist attitude and willingness to learn continuously.
Experience writing unit tests, performing cross‑validation, and robustness testing/evaluation of models.
Ability to operate effectively and autonomously across multiple teams, navigating technical ambiguity with only high‑level direction.
Nice to Have:
Master’s degree or higher in AI/ML‑related field.
Experience with automotive software, ideally for ADAS.
Experience with C/C++.
Experience with developing cloud infrastructure (AWS, GCP, Azure, etc.).
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Pay Range:
$90.00/hr – $120.00/hr (W‑2)
Employment Type:
Contract
As a Senior ML/AI Engineer, you will:
Design, develop, improve, and maintain reusable software components, frameworks, and tools primarily written in Python, while leading the development of ML features.
Lead development of ML features in collaboration with cross‑functional counterparts.
Apply expertise in supervised and unsupervised learning methodologies.
Dive into the technology stack, learning across layers and developing solutions with sound design principles, extensibility, and quality in mind.
Required Skills:
At least a bachelor’s degree in engineering, computer science, or a related field.
5+ years of professional software development experience.
Experience with supervised and unsupervised learning methods.
Experience deploying ML solutions to hardware platforms.
Time‑signal processing experience and computer vision experience.
Experience writing scalable, reusable code in Python or similar.
Experience writing GitHub Actions or similar CI/CD tools (Jenkins, etc.).
Generalist attitude and willingness to learn continuously.
Experience writing unit tests, performing cross‑validation, and robustness testing/evaluation of models.
Ability to operate effectively and autonomously across multiple teams, navigating technical ambiguity with only high‑level direction.
Nice to Have:
Master’s degree or higher in AI/ML‑related field.
Experience with automotive software, ideally for ADAS.
Experience with C/C++.
Experience with developing cloud infrastructure (AWS, GCP, Azure, etc.).
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