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Python Ml Developer Jobs in Detroit, MI (NOW HIRING)

General Motors

Senior ML Compiler Engineer

Warren, MI · On-site

$98K - $134K/yr

... ML engineers across the AV organizationto compile their models. You willwork on an evolvinga state ... Expertisein writing production quality Python/C++ code * Expertisein the software development life ...

Tech Tammina LLC

GCP Engineer

Dearborn, MI · On-site

GCP Engineer Location: Dearborn, MI (On-site/Hybrid) Rate: Market Duration: Long term * Cloud ... GCP using Python and other tools for business across the company. * Work with software and ML ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala. * Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit ...

KLA Corporation

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ... Strong understanding of cloud platforms, DevOps practices, and data processing technologies.

Kla

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ... Strong understanding of cloud platforms, DevOps practices, and data processing technologies.

KLA Corporation

Sr. Software Engineer - AI/ML

Ann Arbor, MI · On-site

$119K - $158K/yr

Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ... Strong understanding of cloud platforms, DevOps practices, and data processing technologies.

Orbotech

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ... Strong understanding of cloud platforms, DevOps practices, and data processing technologies.

KLA

Sr. Software Engineer - AI/ML

Ann Arbor, MI · On-site

$119K - $158K/yr

Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit ... Strong understanding of cloud platforms, DevOps practices, and data processing technologies.

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Detroit, MI

Python Ml Developer information

See Detroit, MI salary details

$13

$58

$85

How much do python ml developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python ml developer in Detroit, MI is $58.03, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Detroit, MI?

For Python Ml Developer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Detroit, MI look for?

The top searched job categories for Python Ml Developer jobs in Detroit, MI are:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Detroit, MI as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $120,709 per year, or $58 per hour.

Senior ML Compiler Engineer

General Motors

Warren, MI • On-site

$98K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,290 frontline employees who took The Breakroom Quiz

Job description

Job Description

AbouttheMission

GM's vision of Zero Crashes, Zero Emissions, and Zero Congestion guides everything we do in autonomous and assisted driving. The AV organization is building advanced automated driving technologies,including Level 4-capable fully self-drivingsystems,tomove us toward safer, more sustainable, and more accessible mobility.

For theAIKernels & Compilers team, that mission shows up in the details: turning cuttingedgeperception, prediction, and planning research into productiongrade software that can run efficiently and reliably on real vehicles at scale. We pioneernew approachesto model export,kernel development, and performance engineering so that every cycle on our accelerators translates into better situational awareness, faster reaction times, and more robust behavior on the road.

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and react to the world - whileoperatingatthesafety,reliabilityand scaleof a company like GM - this is where that impact becomes real.

About the Team

The AI Compiler team sits at the heart of how advanced AI models make it onto the car. We own the compiler that turns highlevel models into fast, reliable inference across GPUs powering GM's nextgeneration autonomous and assisted driving features.

Our work spans graph lowering, operator coverage, kernel integration, and deployment tooling, with a mandate to squeeze every millisecond out of onvehicle workloads while preserving correctness and robustness in realworld conditions. We partner closely withAI Deployments,AI Solutions, Runtime, andAI Kernelsteams to codesignaplatform thatenablesnew ideasin researchto bequickly and safelyshippedto production fleets.

You'lljoin a group ofdeepcompiler, systems, and GPU engineerswho enjoyworking onhard problems,anddiving into MLIR/ONNXand CUDA/TensorRTinternals. We value clear thinking, strong engineering fundamentals, and a culture where people can do the best work of their careers on problems that directly shape the future of automated driving.

The Role

As aSeniorCompiler Engineer on the AI Kernels & Compilers team, you willwork on thecompilation stack that takes highlevel models and turns them into highly optimized inference artifacts running on GM's autonomous and assisted driving platforms.You'llbe a key contributor to a pipeline andtooling that makesthat path fast, reliable, andeffortlessfor ML engineers across the AV organizationto compile their models.

You willwork on an evolvinga state-of-the-artmodel export and compilation pipeline-from capturing highlevel model graphs, through intermediate representations and compiler transforms, into acceleratorspecific inference engines and their integration with our runtime-so that we can simultaneouslyoptimizecompilation throughput, model fidelity, and onvehicle latency. Along the way,you'llbuild robust tooling tovalidatenumerical correctness,detectand bisect performance regressions, and surface clear, actionable diagnostics back to model authors.

If you want to work at the intersection ofcompilers, performance engineering, and realworld autonomy, this role puts your decisions directly on the critical path of what runs on the car.

Whatyou'llbe doing (Responsibilities)

  • Buildand evolvethe model compilation toolchain used to deploy largescaleperception, prediction, and planning models to the AV.

  • Architect new compiler passes and analysisthat improve build times, memory footprint, and runtime latency while preserving-or intentionally trading off-fidelity under strict safety and reliability constraints.

  • Collaborate closely with kernels, runtime, and hardware teamsto codesign interfaces, shape accelerator capabilities, and ensure the compiler exposes the right abstractions to unlock peak performance on each platform.

  • Set standards and best practicesfor model export, validation, and debugging so that AV teams can iterate quickly with clear, reproducible performance and accuracy characteristics.

Your Skills & Abilities (Required Qualifications)

  • 3+ years of experience in the field of compilers

  • Experience with ML frameworks (e.g.,PyTorch, TensorFlow, JAX) and software stack (e.g.,ONNX,MLIR, XLA, TVM,TensorRT,etc)

  • Expertisein writing production quality Python/C++ code

  • Expertisein the software development life-cycle - coding, debugging, optimization, testing, integration

  • BS, or higher degree, in CS/CE/EE, or equivalent

What Will Give YouACompetitive Edge (Preferred Qualifications)

  • Experience building andoptimizingONNXbasedmodelexport and deployment pipelines

  • GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS)

  • Experience with ML accelerators and hardware architecture

  • Experience developing and deploying machine learning models

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

  • The salary range for this role: is$128,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#GM-AV-1

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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