Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... Putting your model into production using AWS or GCP. Required Qualifications * BS. in Computer ...
Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... Putting your model into production using AWS or GCP. Required Qualifications * BS. in Computer ...
Are you ready to turn machine learning ideas into reliable solutions that improve how products are made? What is your role? As a Machine Learning Engineer, you will work within a collaborative ...
Are you ready to turn machine learning ideas into reliable solutions that improve how products are made? What is your role? As a Machine Learning Engineer, you will work within a collaborative ...
Machine Learning Engineer
Allen Park, MI · On-site
AIPGEE, Advance data Migration, API, Data Management Experience Required:5+ years of experience in ... A production-ready middleware layer that ingests, aggregates, and exposes the 6 core operational ...
Machine Learning Engineer
Allen Park, MI · On-site
AIPGEE, Advance data Migration, API, Data Management Experience Required:5+ years of experience in ... A production-ready middleware layer that ingests, aggregates, and exposes the 6 core operational ...
Machine Learning Engineer
Ann Arbor, MI · On-site
They are seeking a Machine Learning Engineer to develop and improve machine learning systems for ... models into production. • Partner with process and chemistry experts to understand the unit ...
Machine Learning Engineer
Ann Arbor, MI · On-site
They are seeking a Machine Learning Engineer to develop and improve machine learning systems for ... models into production. • Partner with process and chemistry experts to understand the unit ...
Machine Learning Engineer
Dearborn, MI · On-site
Execute quick turn studies for urgent business questions by mining, managing, and exploring large ... insights into production for maximum business value * Communicate, present, and interpret ...
Machine Learning Engineer
Dearborn, MI · On-site
Execute quick turn studies for urgent business questions by mining, managing, and exploring large ... insights into production for maximum business value * Communicate, present, and interpret ...
Machine Learning Engineer
Dearborn, MI · On-site
Execute quick turn studies for urgent business questions by mining, managing, and exploring large ... insights into production for maximum business value * Communicate, present, and interpret ...
Machine Learning Engineer
Dearborn, MI · On-site
Execute quick turn studies for urgent business questions by mining, managing, and exploring large ... insights into production for maximum business value * Communicate, present, and interpret ...
Machine Learning Engineer
Dearborn, MI · On-site
Execute quick turn studies for urgent business questions by mining, managing, and exploring large ... insights into production for maximum business value * Communicate, present, and interpret ...
Machine Learning Engineer
Dearborn, MI · On-site
Execute quick turn studies for urgent business questions by mining, managing, and exploring large ... insights into production for maximum business value * Communicate, present, and interpret ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $160K/yr
Our first commercial-scale lithium production facility, Lithium One, is targeting initial production in Q1 of 2027. As a Machine Learning Engineer at Mariana, you'll help build and improve the ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $160K/yr
Our first commercial-scale lithium production facility, Lithium One, is targeting initial production in Q1 of 2027. As a Machine Learning Engineer at Mariana, you'll help build and improve the ...
Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... Ensure AI solutions are scalable, secure, reliable, and production-ready * Collaborate with ...
Quick apply
Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... Ensure AI solutions are scalable, secure, reliable, and production-ready * Collaborate with ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
New
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
New
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
New
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
New
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Product Manager Machine Learning information
See Michigan salary details
$44.9K - $56.4K
0% of jobs
$56.4K - $67.9K
1% of jobs
$67.9K - $79.5K
3% of jobs
$79.5K - $91K
4% of jobs
$91K - $102.5K
5% of jobs
$102.5K - $114.1K
5% of jobs
$118.9K is the 25th percentile. Wages below this are outliers.
$114.1K - $125.6K
14% of jobs
$125.6K - $137.1K
5% of jobs
The median wage is $144.6K / yr.
$137.1K - $148.6K
18% of jobs
$157.4K is the 75th percentile. Wages above this are outliers.
$148.6K - $160.2K
24% of jobs
$160.2K - $171.7K
19% of jobs
$44.9K
$138.9K
$171.7K
How much do product manager machine learning jobs pay per year?
As of Jul 17, 2026, the average yearly pay for product manager machine learning in Michigan is $138,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $171,700.00 per year, depending on experience, location, and employer.
What is the AI PM salary?
The salary for a Product Manager specializing in Machine Learning typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, often including bonuses and stock options. Strong knowledge of AI tools and data-driven decision-making are common requirements for this role.
What is a $900000 AI job?
A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with significant experience and leadership responsibilities.
How does a Product Manager specializing in Machine Learning typically collaborate with data scientists and engineering teams?
Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.
What does a machine learning product manager do?
A machine learning product manager oversees the development and deployment of AI and machine learning products, coordinating between data scientists, engineers, and stakeholders. They define product requirements, prioritize features, and ensure that machine learning models meet business goals and performance standards, often using tools like data analysis and model monitoring platforms.
What does a Product Manager for Machine Learning do?
A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.
Which 3 jobs will survive AI?
Product Managers in machine learning will continue to be essential as they oversee AI projects, coordinate teams, and ensure alignment with business goals. Roles requiring complex problem-solving, creativity, and human judgment—such as data scientists and AI ethics specialists—are also likely to persist. These jobs demand skills that are difficult for AI to fully replicate, including strategic thinking and interpersonal communication.
What is the difference between Product Manager Machine Learning vs Data Scientist?
| Aspect | Product Manager Machine Learning | Data Scientist |
|---|---|---|
| Primary Focus | Overseeing ML product development, strategy, and deployment | Analyzing data, building models, and deriving insights |
| Required Skills | Product management, ML understanding, cross-functional collaboration | Statistics, programming, data analysis |
| Work Environment | Product teams, engineering, business stakeholders | Data analysis teams, research, engineering |
| Common Certifications | Product management certifications, ML courses | Data science certifications, programming skills |
While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.
What are the key skills and qualifications needed to thrive as a Product Manager, Machine Learning, and why are they important?
To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.
What are popular job titles related to Product Manager Machine Learning jobs in Michigan? For Product Manager Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in Michigan look for? The top searched job categories for Product Manager Machine Learning jobs in Michigan are:
Job description
Machine Learning Engineer
Location: Detroit, MI- Onsite
Type: Full-time
Security Clearance: No clearance required, must be clearable.
Job Description
The Machine Learning Engineer will be an essential member of the Research and Development Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains. At Eccalon, the projects we support often require solutions that utilize the latest and the best from Deep Learning/Machine Learning research. We support advanced projects in both data constrained and data rich settings. Qualified candidates should be driven and be able to help craft these systems as a part of our R&D team.
Responsibilities
- Candidates are expected to be familiar with the motions of a classical Machine Learning workflow, and support the team with some of the following tasks:
- Dataset Creation.
- Data Exploration/Visualization.
- Literature Review.
- Data Wrangling.
- Implementation and Training of Appropriate Models from Literature.
- Characterization of Error in Models.
- Iterative Optimization of Models.
- On the engineering side of development, the Machine Learning Engineer will have the ability to be hands-on by:
- Creating training and preprocessing pipelines for faster experimentation.
- Creating algorithmic modules to interface your Models output with business requirements.
- Integrating their code to a larger codebase.
- Putting your model into production using AWS or GCP.
Required Qualifications
- BS. in Computer Science, or related field.
- 3+ years of professional Software Development experience in Python.
- Mastery of Deep Learning fundamentals and statistics underlying Machine Learning.
- History of software projects putting Machine Learning systems into production in any capacity.
- History of software projects in general.
- Deep personal interest with the complete state of the art in a subfield of Machine Learning Research.
- Ability to work independently, and within a team.
- Ability to communicate effectively with non-technical stakeholders and supervisors.
- Prior project experience combining two or more of the following in a production setting:
- Unsupervised or Semi-supervised Learning.
- Convolutional Architectures.
- Autoencoders.
- Recurrent Architectures for Time-Series Applications.
- Transformer Architectures for Natural Language Processing.
- Generative Adversarial Architectures.
Preferred qualifications
- MS. or PhD in Machine Learning, or related field
- Extensive AWS or GCP experience putting scalable Machine Learning systems into production.
- Experience working with extremely high volume / high throughput data in a data lake / data warehousing / training / production environment.
- Has implemented cutting edge methods (e.g. a custom layer) from recent Machine Learning publications / conference proceedings and has done so in PyTorch or Tensorflow.
- Publications in AI/ML journals or conferences.
Equal Employment Opportunity (EEO) Policy
Eccalon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
About Eccalon
Sourced by ZipRecruiter
We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.
Industry
Guided missile and space vehicle manufacturing
Company size
11 - 50 Employees
Headquarters location
Hanover, MD, US
Year founded
2017