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Math Degree Machine Learning Jobs (NOW HIRING)

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products ... BSc in Computer Science, Mathematics or similar field; Master's degree is a plus

Adobe

Machine Learning Engineer

San Jose, CA · On-site

D. degree or equivalent experience in Statistics, Applied Mathematics, Computer Science, or a ... common machine learning algorithms and techniques • Hands-on experience with machine learning ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical ... Advanced degree in computer science, mathematics, statistics or related area of study strongly ...

ENSCO, Inc.

Machine Learning Engineer

Cocoa Beach, FL · On-site

Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline. Direct relevant military experience will also be considered. Minimum of 3 years related ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Company Description PatternAI is an automated machine learning platform that reveals critical ... Advanced degree in computer science, mathematics, statistics or related area of study strongly ...

Full Scope

Machine Learning Engineer

Reston, VA

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus. * Proven experience as a Machine Learning Engineer or in a similar role. * Strong ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Machine Learning Engineer The Opportunity Join Adobe and be at the forefront of driving digital ... D. degree or equivalent experience in Statistics, Applied Mathematics, Computer Science, or a ...

Adobe

Machine Learning Engineer

San Jose, CA

Machine Learning EngineerThe Opportunity Join Adobe and be at the forefront of driving digital ... D. degree or equivalent experience in Statistics, Applied Mathematics, Computer Science, or a ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Strong mathematical and coding skills * Proficiency in Python, MLOps (W&B, MLFlow) and ML packages ...

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

Title - Machine Learning ( F2F interview is required) Location - New York, NY ( Hybrid 2-3 days ... s degree in Computer Science, Statistics, Applied Mathematics, or a related field. Minimum of 2 ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or ...

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Strong mathematical and coding skills * Proficiency in Python, MLOps (W&B, MLFlow) and ML packages ...

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Math Degree Machine Learning information

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$58.8K

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How much do math degree machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for math degree machine learning in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a machine learning role with a math degree, and why are they important?

To thrive in a machine learning role with a math degree, you need a strong background in mathematics (such as linear algebra, probability, and statistics), programming skills (often in Python or R), and knowledge of machine learning concepts. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and proficiency in using data analysis and visualization platforms are typically expected. Excellent problem-solving abilities, critical thinking, and clear communication help you interpret data, collaborate with teams, and present findings effectively. These skills and qualities are crucial for building robust machine learning models, driving data-driven decisions, and contributing to organizational innovation.

How does having a math degree enhance your effectiveness in a machine learning role?

A math degree provides a strong foundation in areas such as linear algebra, calculus, probability, and statistics, which are crucial for understanding and developing machine learning algorithms. This background enables you to grasp the theoretical underpinnings of models, optimize algorithms, and troubleshoot issues that arise in real-world applications. In a machine learning team, this expertise often positions you to tackle complex modeling challenges, collaborate closely with data scientists and engineers, and contribute to research or innovation within the organization.

What can you do with a math degree in machine learning?

A math degree provides a strong foundation for a career in machine learning, as the field relies heavily on mathematical concepts such as statistics, linear algebra, and calculus. With a math degree, you can pursue roles like data scientist, machine learning engineer, quantitative analyst, or research scientist. Your mathematical background will help you design algorithms, analyze large datasets, and develop predictive models that drive advancements in technology and industry.

What is the difference between Math Degree Machine Learning vs Data Scientist?

AspectMath Degree Machine LearningData Scientist
Required CredentialsMath degree, programming skills, knowledge of ML algorithmsStatistics, programming, domain expertise, often a math or CS background
Work EnvironmentResearch labs, tech companies, startups, academiaBusiness settings, tech firms, consulting, finance
Employer & Industry UsageTech companies, research institutions, AI startupsVarious industries including finance, healthcare, marketing
Search & Comparison IntentFocus on technical ML skills, algorithms, modelingData analysis, insights, business impact

Math Degree Machine Learning professionals specialize in developing and applying machine learning models using advanced math and programming skills. Data Scientists analyze data to extract insights and support decision-making, often utilizing statistical and analytical techniques. While both roles require strong technical backgrounds, Math Degree Machine Learning roles are more focused on algorithm development, whereas Data Scientists emphasize data analysis and business applications.

Infographic showing various Math Degree Machine Learning job openings in the United States as of May 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Machine Learning Engineer

Forhyre

New York, NY

Full-time

Posted yesterday

Job description

We are looking for a Machine Learning Engineer to help us create artificial intelligence products.


Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you.


Your ultimate goal will be to shape and build efficient self-learning applications.


Responsibilities


  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field


Requirements


  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modelling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus