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Graduate Machine Learning Engineer Jobs (NOW HIRING)

... graduate courses. Additional information regarding the benefit package can be found at the following link. If the Machine Learning Engineer role sounds like a fit for your background and career goals ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... Qualifications PhD or Graduate degree with research/work experience utilizing data science ...

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 ...

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

... strong recent graduate with demonstrated project depth. * Solid grounding in machine learning ... Engineer Out Requirements, then Automate - We simplify, optimize, and then automate for scale.

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 ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity ...

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

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Graduate Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

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

As of Jul 16, 2026, the average yearly pay for graduate machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What does a Graduate Machine Learning Engineer do?

A Graduate Machine Learning Engineer is an entry-level professional who designs, develops, and tests machine learning models and algorithms. They work with data scientists and engineers to preprocess data, train models, and deploy solutions to solve real-world problems. Their responsibilities often include coding in languages like Python, using libraries such as TensorFlow or PyTorch, and staying updated with the latest advancements in machine learning. This role serves as a starting point for a career in AI, providing hands-on experience in building and optimizing intelligent systems.

What are the key skills and qualifications needed to thrive as a Graduate Machine Learning Engineer, and why are they important?

To thrive as a Graduate Machine Learning Engineer, you need a solid foundation in computer science, mathematics (especially statistics and linear algebra), and proficiency in programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and experience with cloud platforms or data management tools are typically expected. Strong analytical thinking, problem-solving abilities, and effective communication help you collaborate and translate complex concepts into practical solutions. These skills and qualities are crucial for developing robust models, integrating them into real-world applications, and contributing effectively to multidisciplinary teams.

What are some common challenges faced by Graduate Machine Learning Engineers during their first year, and how can they overcome them?

Graduate Machine Learning Engineers often encounter challenges such as bridging the gap between academic knowledge and real-world application, working with large or messy datasets, and learning to collaborate within cross-functional teams. Adapting to production-level code standards and understanding existing codebases can also be demanding. To overcome these hurdles, it's helpful to seek mentorship from experienced colleagues, actively participate in code reviews, and invest time in learning best practices for data preprocessing and model deployment. Embracing continuous learning and open communication will ease the transition into the professional environment.

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

AspectGraduate Machine Learning EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related field; some internshipsBachelor's or Master's in Statistics, Data Science, or related field; often with experience
Work EnvironmentDeveloping ML models, coding, testing algorithmsAnalyzing data, creating visualizations, deriving insights
Employer & Industry UsageTech companies, startups, research labsFinance, healthcare, tech, consulting firms

While both roles involve working with data and algorithms, Graduate Machine Learning Engineers focus on developing and deploying machine learning models, often requiring coding and technical skills. Data Scientists analyze data to extract insights and inform decisions. The roles overlap in skills but differ in primary responsibilities and focus areas.

More about Graduate Machine Learning Engineer jobs
What cities are hiring for Graduate Machine Learning Engineer jobs? Cities with the most Graduate Machine Learning Engineer job openings:
What states have the most Graduate Machine Learning Engineer jobs? States with the most job openings for Graduate Machine Learning Engineer jobs include:
Infographic showing various Graduate Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Yaskawa

Franklin, WI • On-site

Full-time

Retirement

Posted 28 days ago


Yaskawa rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

106th of 430 rated machine equipment manufacturers


Job description

Yaskawa America, Inc. - Drives & Motion Division is a U.S. corporation, created to provide Automation Solutions and Support to our customers in North America, Central America, and South America. Yaskawa is the world's largest manufacturer of AC Inverter Drives, Servo and Motion Control, and Robotics Automation Systems. Products are marketed through direct sales, partners, representatives, dealers, and distributors. Yaskawa America, Inc. - Drives & Motion Division is a wholly-owned corporation of Yaskawa Electric Corporation of Japan. Since 1915, Yaskawa Electric has served the world needs for products to improve global productivity through Automation. We look to hire people who value a positive work culture, want to be part of a winning team, and have a desire to learn and grow. Yaskawa's culture of continuous improvement values hiring individuals that are looking for the opportunity to stretch their current talents and skills to the next level and beyond. If you have a passion for machine learning and advanced technology, we may have the perfect opportunity for you!
In this role you will support the identification and implementation of machine learning solutions across the Operations Business Unit. This engineer will work with the guidance of Operations team members to develop models, maintain automated systems, and contribute to simulation and digital twin projects that improve operational efficiency , quality and throughput.
The ideal candidate will possess a Bachelor's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, Industrial Engineering or a related field. To be successful you should have 0-3 years of of professional or internship experience in machine learning, data science, or software engineering. Also proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of fundamental ML concepts: regression, classification, clustering, and model evaluation is a must.
Some key advantages of working at Yaskawa include: career opportunities in diverse areas, a highly competitive benefit package, including a generous 401(K) plan, profit sharing, corporate wide bonus plan and educational assistance program offering up to $10,000 a year for graduate courses. Additional information regarding the benefit package can be found at the following link.
https://www.yaskawa.com/about-us/careers/benefits
If the Machine Learning Engineer role sounds like a fit for your background and career goals, we would love to hear from you!
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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