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Applied Math Jobs in Buffalo, NY (NOW HIRING)

Pragmatike

Principal AI/ML Engineer

Boston, NY · On-site

Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, or a related field * 7+ years of professional experience in AI/ML, data science, or applied machine learning roles * Proven ...

U.S. Navy

Engineering Duty Officer

Buffalo, NY · On-site

Your math and science skills will be vital to constantly improving the Navy's warfighting ... Space Systems Engineering (Applied Physics) * Computer Science Massachusetts Institute of ...

U.S. Navy

Engineering Duty Officer

Buffalo, NY

Your math and science skills will be vital to constantly improving the Navy's warfighting ... Space Systems Engineering (Applied Physics) * Computer Science Massachusetts Institute of ...

MEIER SUPPLY CO INC

Inside Sales/HVAC

Buffalo, NY

$24 - $28/hr

Our divisions include Commercial Refrigeration, HVAC, Technical/Training, Controls, and Applied ... Basic math skills * Valid driver's license and clean motor vehicle record * A self-starter with a ...

MEIER SUPPLY CO INC

Inside Sales/HVAC

Buffalo, NY · On-site

$24 - $28/hr

Our divisions include Commercial Refrigeration, HVAC, Technical/Training, Controls, and Applied ... Basic math skills * Valid driver's license and clean motor vehicle record * A self-starter with a ...

Meier Supply Company, Inc.

Inside Sales/HVAC

Buffalo, NY · On-site

$24 - $28/hr

Our divisions include Commercial Refrigeration, HVAC, Technical/Training, Controls, and Applied ... Basic math skills * Valid driver's license and clean motor vehicle record * A self-starter with a ...

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Showing results 21-40

All JobsApplied Math JobsApplied Math Jobs in Buffalo, NY

Applied Math information

See Buffalo, NY salary details

$21.8K

$57K

$91.5K

How much do applied math jobs pay per year?

As of Aug 8, 2026, the average yearly pay for applied math in Buffalo, NY is $56,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $67,800.00 per year, depending on experience, location, and employer.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

What jobs can you get with applied math?

Applied math graduates can pursue careers such as data analyst, operations researcher, financial analyst, actuary, or software developer. These roles often require strong analytical skills, proficiency in programming languages like Python or R, and knowledge of statistical and mathematical modeling. Many positions are found in finance, technology, healthcare, and government sectors.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.
What are popular job titles related to Applied Math jobs in Buffalo, NY? For Applied Math jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Buffalo, NY look for? The top searched job categories for Applied Math jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Applied Math jobs? Cities near Buffalo, NY with the most Applied Math job openings:
Applied Math jobs near you
Infographic showing various Applied Math job openings in Buffalo, NY as of August 2026, with employment types broken down into 61% Full Time, 33% Part Time, and 6% Summer. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $56,993 per year, or $27.4 per hour.

Principal AI/ML Engineer

Pragmatike

Boston, NY • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 12 days ago

Job description

Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available
Relocation package: Available
Start date: ASAP
Languages: English (required)
About the Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are looking for a Senior AI/ML Engineer to join a high-performing AI engineering team building and deploying real-world AI systems used by Fortune 500 customers. You will take technical ownership of critical ML components, lead model development and productionization efforts, and work closely with AI researchers, platform engineers, and product teams to deliver scalable, production-grade AI systems.
This role is intended for experienced AI/ML engineers who have already built and deployed models in production environments and want to operate at the intersection of research-quality AI and real-world systems engineering.
What You'll Do
  • Design, build, train, and optimize machine learning and deep learning models for production use
  • Lead the deployment of ML models into scalable, reliable production systems
  • Architect training, inference, and evaluation pipelines for structured and unstructured data
  • Own model performance, reliability, scalability, and lifecycle management
  • Drive experimentation, model iteration, and performance benchmarking
  • Implement and maintain high-quality ML codebases primarily in Python
  • Monitor, debug, and improve live production models
  • Collaborate with platform, backend, and infrastructure teams on system integration
  • Contribute to technical direction, architecture decisions, and AI roadmap planning
  • Mentor junior engineers and support team-level technical excellence
What We're Looking For
  • Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, or a related field
  • 7+ years of professional experience in AI/ML, data science, or applied machine learning roles
  • Proven experience deploying ML systems into production environments
  • Strong understanding of ML fundamentals, evaluation methodologies, and model lifecycle management
  • Deep hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
  • Strong proficiency in Python
  • Experience designing scalable ML systems and pipelines
  • Ability to operate independently and take technical ownership of complex systems
  • Strong problem-solving, architecture, and system-design skills
Bonus Points
  • Experience with deep learning, LLMs, GenAI, or modern AI architectures
  • Experience building AI systems used by enterprise or large-scale customers
  • Strong experience with cloud platforms (AWS, GCP, Azure)
  • MLOps experience (CI/CD for ML, model deployment, monitoring, observability)
  • Research background, publications, or applied AI innovation projects
  • Experience leading AI initiatives or mentoring ML engineers
Why This Role Is High-Impact
  • Work directly with MIT CSAIL-founded leadership
  • Build AI systems deployed to Fortune 500 customers
  • Operate at the intersection of cutting-edge AI and real-world production systems
  • High ownership and influence over technical direction
  • Join a well-funded, fast-growing AI startup with strong technical ambition
  • Clear path toward Staff/Principal AI Engineer or AI Architect roles
Benefits
  • Competitive salary & equity options
  • Sign-on bonus
  • Health, Dental, and Vision
  • 401(k)

Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

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