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Math Degree Machine Learning Jobs (NOW HIRING)

DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Data Science, Artificial ... Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational ...

DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Data Science, Artificial ... Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational ...

DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Data Science, Artificial ... Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational ...

DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Data Science, Artificial ... Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational ...

Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics ... Strong foundation in machine learning, statistics, signal processing, or applied mathematics for ...

Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics ... Strong foundation in machine learning, statistics, signal processing, or applied mathematics for ...

DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Data Science, Artificial ... Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational ...

Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related field, or the equivalent combination of education and related experience.

Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related field, or the equivalent combination of education and related experience.

Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related field, or the equivalent combination of education and related experience.

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... of degree. Qualifications: * Proven experience designing, developing, and deploying OpenAI ...

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Math Degree Machine Learning information

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$22.5K

$58.8K

$94.5K

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

As of May 30, 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

Machine Learning Engineer

Cymertek

Chantilly, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Machine Learning Engineer
LOCATIONChantilly, VA 20151
CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARYWe are seeking a talented and innovative Machine Learning Engineer to join our team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver real-world value. If you are passionate about artificial intelligence, data-driven solutions, and continuously learning in an evolving field, we'd love for you to be part of our team.

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***


SIMILAR CAREER TITLESData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher, Data Analyst, ect.
DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
  • Ability to design, implement, and optimize machine learning models and workflows
  • Experience working with large, complex datasets
  • Knowledge of data preprocessing and feature engineering
  • Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
  • Strong problem-solving skills and analytical thinking
REQUIRED SKILLS
  • Proficiency in programming languages (e.g., Python, R, Java)
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Expertise in model evaluation techniques and metrics
  • Strong knowledge of version control tools (e.g., Git)
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
  • Understanding of database technologies (e.g., SQL, NoSQL)
DESIRED SKILLS
  • Experience with natural language processing (NLP)
  • Knowledge of deep learning techniques (e.g., CNNs, RNNs)
  • Familiarity with deployment tools (e.g., Docker, Kubernetes)
  • Experience with data augmentation and synthetic data generation
  • Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
  • Knowledge of edge computing and model optimization for deployment

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE

Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.

At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.

We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.

Ready to make your next move the best one? Join us and experience the difference.

BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments
HOW TO APPLY

Email us at jobs@cymertek.com or apply today: www.cymertek.com

Want to see what our employees think? Click here .


EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.