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Math Degree Machine Learning Jobs (NOW HIRING)

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and ... BSc in Computer Science, Mathematics, or a similar field; a Master's degree is a plus Diversity At ...

Stefanini Group

Machine Learning Engineer

Allen Park, MI · On-site

$61 - $66/hr

... Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key ... Bachelor's Degree Education Preferred * Certification Program **Listed salary ranges may vary based ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Degree DEGREE (Focus) Computer Science, Data Science, Artificial Intelligence, Mathematics ...

Cymertek

Machine Learning Engineer

Chantilly, VA

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Degree DEGREE (Focus) Computer Science, Data Science, Artificial Intelligence, Mathematics ...

Cymertek

Machine Learning Engineer

Reston, VA

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Degree DEGREE (Focus) Computer Science, Data Science, Artificial Intelligence, Mathematics ...

Cymertek

Machine Learning Engineer

Vienna, VA

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Degree DEGREE (Focus) Computer Science, Data Science, Artificial Intelligence, Mathematics ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus. * 5+ years of experience in machine learning and data related roles. * Proven ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

Master's degree in Applied Mathematics, Statistics, Computer Science, or related fields. * Verifiable work experience defining and implementing data pipelines and machine learning algorithms.

Cymertek

Machine Learning Engineer

Aurora, CO

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Degree DEGREE (Focus) Computer Science, Data Science, Artificial Intelligence, Mathematics ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Degree DEGREE (Focus) Computer Science, Data Science, Artificial Intelligence, Mathematics ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this ... Degree DEGREE (Focus) Computer Science, Data Science, Artificial Intelligence, Mathematics ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Degree DEGREE (Focus) Computer Science, Data Science, Artificial Intelligence, Mathematics ...

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Math Degree Machine Learning information

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

As of Jun 20, 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.

Is math a good major for machine learning?

A math degree is highly valuable for machine learning roles like data scientist or machine learning engineer, as it provides a strong foundation in algorithms, statistics, and linear algebra essential for developing models. Proficiency in programming languages such as Python and familiarity with machine learning frameworks are also important for success in this field.

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.

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.

Which 3 jobs will survive AI?

For a math degree with machine learning skills, roles such as data scientist, machine learning engineer, and AI researcher are likely to persist as they require complex problem-solving, domain expertise, and ongoing innovation that are difficult for AI to fully automate. These jobs involve designing, developing, and interpreting advanced algorithms, often requiring strong mathematical and programming skills. Continuous learning and staying updated with new tools like Python, TensorFlow, or PyTorch are essential for long-term career resilience.

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.

Does Nvidia hire math majors?

Nvidia hires math majors for roles in machine learning, data science, and AI research, often requiring strong mathematical skills, programming experience, and knowledge of tools like Python and TensorFlow. Candidates with a background in mathematics and relevant technical skills are well-suited for positions in Nvidia's AI and deep learning teams.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or data science executives, often in large tech companies or finance firms. These positions usually require advanced skills in machine learning, deep learning, and programming, along with extensive experience and sometimes advanced degrees. Compensation at this level includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.

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.

Applied Machine Learning Engineer

Applied Machine Learning Engineer

IUNU

Seattle, WA • On-site

Full-time

Posted 14 days ago

Job description

At IUNU ("you knew'), we're revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry.
Applied 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
  • 3-5 years of proven experience as a Machine Learning Engineer or a similar role
  • Strong experience with Deep Learning
  • Understanding of data structures, data modeling, 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 a similar field; a Master's degree is a plus

Diversity
At IUNU, we're committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths.

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