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Math Degree Machine Learning Jobs (NOW HIRING)

Microsoft AI

Machine Learning

Mountain View, CA · On-site

... Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning ...

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

Strivector Corp

Machine Learning

Manhattan, NY · On-site

They are seeking a Machine Learning professional capable of tackling research problems with ... • Bachelor's degree required, Ph.D. desired • 4+ years of applicable research experience ...

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 ...

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 ...

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 ...

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

... degree in Computer Science, Mathematics, or a related field - Minimum of 3 years of experience in developing machine learning models and algorithms - Strong programming skills in Python, and ...

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 ...

Microsoft Corporation

Machine Learning

Mountain View, CA · On-site

$220K - $331K/yr

OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying ...

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 · 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 ...

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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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.

Machine Learning

Microsoft AI

Mountain View, CA • On-site

Full-time

Posted 8 days ago

Job description

Job Summary:
Microsoft AI is a part of Microsoft focused on pushing the boundaries of AI towards Humanist Superintelligence. The role involves creating LLM models for general purpose capabilities and products, developing new training methods, and collaborating with research and product teams.
Responsibilities:
• Own and pursue a research agenda to improve model capability and performance for agentive application.
• Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.
Qualifications:
Required:
• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience.
• Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience).
• Experience prompting, evaluating, and working with large language models.
• Experience writing production-quality Python code.
Preferred:
• Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).
• OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products).
• OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
Company:
Microsoft AI is a software development company. Founded in 2024, the company is headquartered in Redmond, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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