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Machine Learning Engineer Manager Jobs (NOW HIRING)

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... Model development, deployment, optimization, and lifecycle management Strong Fit Profile A strong ...

Emonics LLC

Machine Learning Engineer

Seattle, WA · On-site

We are looking for a motivated and curious Entry-Level Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for someone who wants to build practical machine ...

New

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$125 - $150/hr

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

This person will implement and develop machine learning models to enhance our platform ... Work closely with software engineers, data scientists, and product managers to integrate ML models ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Northern Base

Machine Learning Engineer

Sunrise, FL · On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning ... Solid understanding of LLM memory architecture and state management. * Proficiency in Python and ML ...

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Machine Learning Engineer Manager information

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$27.5K

$136.7K

$209K

How much do machine learning engineer manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning engineer manager in the United States is $136,685.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer manager?

Machine Learning Engineer Managers are professionals who lead teams of machine learning engineers in designing, developing, and deploying machine learning models and systems. They combine strong technical expertise in machine learning with leadership and project management skills to guide teams, set priorities, and ensure projects align with organizational goals. In addition to overseeing technical work, they are responsible for mentoring team members, collaborating with other departments, and staying updated on the latest ML technologies and best practices.

What are the main challenges machine learning engineer managers face when leading teams?

Machine Learning Engineer Managers often navigate the dual challenge of aligning technical innovation with business goals while supporting team growth. They must balance hands-on technical guidance with project management, ensuring that machine learning models are both cutting-edge and production-ready. Additionally, fostering collaboration between data scientists, engineers, and stakeholders is crucial to keeping projects on track and team members motivated. Managing shifting priorities and keeping up with rapid advancements in AI technology are also common aspects of the role.

What are the key skills and qualifications needed to thrive as a machine learning engineer manager, and why are they important?

To thrive as a Machine Learning Engineer Manager, you need a strong background in computer science, machine learning algorithms, and leadership, often supported by an advanced degree and experience managing technical teams. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and project management systems is essential, along with certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Excellent communication, strategic thinking, and mentorship abilities help foster team growth and drive project success. These skills are crucial for delivering impactful ML solutions, ensuring efficient team performance, and aligning technical work with organizational goals.

What is the difference between Machine Learning Engineer Manager vs Data Scientist?

AspectMachine Learning Engineer ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; often leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentLeads ML teams, manages projects, collaborates with engineeringAnalyzes data, builds models, reports insights, collaborates with business units
Employer & Industry UsageTech companies, AI firms, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis and modeling skills

The main difference is that a Machine Learning Engineer Manager oversees ML teams and projects, focusing on leadership and strategy, while a Data Scientist primarily analyzes data and builds models to extract insights. Both roles require strong technical skills, but the manager role adds leadership responsibilities.

Are machine learning engineer managers still in demand?

Machine Learning Engineer Managers are in high demand due to the growing adoption of AI and data-driven solutions across industries. They require strong technical skills, leadership abilities, and knowledge of tools like Python, TensorFlow, and cloud platforms, making their roles critical in developing and overseeing AI projects.

What cities are hiring for Machine Learning Engineer Manager jobs?

Cities with the most Machine Learning Engineer Manager job openings:

What are the most commonly searched types of Machine Learning Engineer jobs?

The most popular types of Machine Learning Engineer jobs are:

What states have the most Machine Learning Engineer Manager jobs?

States with the most job openings for Machine Learning Engineer Manager jobs include:

What are popular job titles related to Machine Learning Engineer Manager jobs?

For Machine Learning Engineer Manager jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Engineer Manager job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $136,685 per year, or $65.7 per hour.

Machine Learning Engineer

Detroit, MI • On-site

Eccalon LLC
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Eccalon LLCexternal

Full-time

Re-posted 17 days ago

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.

Eccalon logo

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

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