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 ...
Machine Learning Engineer (09235)
Detroit, MI · On-site
$113.40K - $136.10K/yr
Provide support to engineers and product managers in implementing machine learning in the product. * Drive the design, building and launching of new data models and ML/Data pipelines in production.
Machine Learning Engineer (09235)
Detroit, MI · On-site
$113.40K - $136.10K/yr
Provide support to engineers and product managers in implementing machine learning in the product. * Drive the design, building and launching of new data models and ML/Data pipelines in production.
... product/system performance, quality, data management, and accuracy Adapt machine learning and Gen AI capabilities to domains such as virtual reality, augmented reality, object detection, tracking ...
... product/system performance, quality, data management, and accuracy Adapt machine learning and Gen AI capabilities to domains such as virtual reality, augmented reality, object detection, tracking ...
Machine Learning Engineering Intern
Ann Arbor, MI · On-site
$25 - $35/hr
This role is designed to provide hands-on experience building and deploying machine learning solutions in production-like environments. You will work closely with engineers and domain experts to ...
Machine Learning Engineering Intern
Ann Arbor, MI · On-site
$25 - $35/hr
This role is designed to provide hands-on experience building and deploying machine learning solutions in production-like environments. You will work closely with engineers and domain experts to ...
Machine Learning Engineering
Dearborn, MI · On-site
Machine Learning Engineer What You'll Do: Collaborate with stakeholders to understand ML ... Skills & Experience: 3+ years developing ML models in production; strong Python programming. 2+ ...
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Machine Learning Engineering
Dearborn, MI · On-site
Machine Learning Engineer What You'll Do: Collaborate with stakeholders to understand ML ... Skills & Experience: 3+ years developing ML models in production; strong Python programming. 2+ ...
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 ...
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 ...
Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... This includes product management for our enterprise-scale cloud and edge AI platforms, ensuring our ...
Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... This includes product management for our enterprise-scale cloud and edge AI platforms, ensuring our ...
Machine Learning Engineer
$105.50K - $126.60K/yr
Work in an agile product team to deliver code frequently using Test Driven Development (TDD ... Relational Database Management System like MySQL, PostgreSQL, and SQL Server. Real-Time data ...
Machine Learning Engineer
$105.50K - $126.60K/yr
Work in an agile product team to deliver code frequently using Test Driven Development (TDD ... Relational Database Management System like MySQL, PostgreSQL, and SQL Server. Real-Time data ...
Overview We're seeking a Machine Learning Engineer to help design, build, and maintain production ... manage model lifecycle * Ensure reliability, scalability, and security of models in production
Overview We're seeking a Machine Learning Engineer to help design, build, and maintain production ... manage model lifecycle * Ensure reliability, scalability, and security of models in production
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 May 30, 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 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.
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 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.
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 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