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Remote Mathematical Programming Jobs in Hayes, VA

Stantec

Facility Assessor/Inspector (Remote)

Hampton, VA · On-site +1

$77K - $112K/yr

... engineers, construction tradespersons, transitioning military construction persons (Seabees, Red ... Good mathematical aptitude required * Good communication and organization skills * Ability to ...

Military Sealift Command

MECHANICAL ENGINEER

Norfolk, VA · On-site +1

$56K - $84K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... mathematical sciences underlying engineering. 2. A good understanding, both theoretical and ...

All JobsMathematical Programming JobsRemote Mathematical Programming JobsRemote Mathematical Programming Jobs in Hayes, VA

Remote Mathematical Programming information

See Hayes, VA salary details

$74.2K

$112.8K

$151.9K

How much do remote mathematical programming jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote mathematical programming in Hayes, VA is $112,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,800.00 and $127,500.00 per year, depending on experience, location, and employer.

What is remote mathematical programming?

Remote mathematical programming involves solving mathematical optimization problems and developing algorithms while working from a location outside of a traditional office, often from home. Professionals in this field use mathematical models and computer programming to find optimal solutions for complex problems in areas like logistics, finance, engineering, and data science. Remote work allows mathematical programmers to collaborate with teams and clients globally, utilizing tools for communication, code sharing, and project management. This setup requires strong analytical skills, proficiency in programming languages like Python or MATLAB, and the ability to work independently.

What are some common challenges faced by professionals in remote mathematical programming roles, and how can they be addressed?

One of the main challenges in remote mathematical programming is effective communication, especially when collaborating on complex models with team members in different locations. Ensuring clarity in documentation and maintaining regular check-ins can help mitigate misunderstandings. Another challenge is staying updated with the latest mathematical optimization tools and software, as advancements happen rapidly; dedicating time for continuous learning can be invaluable. Additionally, remote professionals may face difficulties in accessing high-performance computing resources, so it's important to familiarize yourself with cloud-based solutions provided by your organization.

What are the key skills and qualifications needed to thrive as a Remote Mathematical Programmer, and why are they important?

To excel as a Remote Mathematical Programmer, you need a strong background in mathematics, optimization theory, and programming, often supported by a degree in mathematics, computer science, or engineering. Familiarity with technical tools like Python, MATLAB, R, and mathematical optimization libraries such as Gurobi or CPLEX is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills are valuable soft skills in this role. These competencies are crucial for designing efficient algorithms, collaborating across remote teams, and delivering accurate solutions to complex mathematical challenges.
What cities near Hayes, VA are hiring for Remote Mathematical Programming jobs? Cities near Hayes, VA with the most Remote Mathematical Programming job openings:
Remote Mathematical Programming jobs near you
Infographic showing various Remote Mathematical Programming job openings in Hayes, VA as of June 2026, with employment types broken down into 62% Full Time, 36% Part Time, and 2% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $112,832 per year, or $54.2 per hour.
Senior Artificial Intelligence (AI) Engineer - Remote

Senior Artificial Intelligence (AI) Engineer - Remote

Sentara Healthcare

Norfolk, VA • On-site, Remote

$101K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Sentara Health rating

6.8

Company rating: 6.8 out of 10

Based on 393 frontline employees who took The Breakroom Quiz

494th of 890 rated healthcare providers

Job description

City/State
Norfolk, VA
Work Shift
First (Days)
Overview:
Sentara is hiring a Senior AI Engineer!
This position is fully remote.
Work Location:
Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington (state), West Virginia, Wisconsin, Wyoming
Overview
The Senior AI Engineer drives end-to-end delivery of production AI platforms-leading solution architecture, orchestrating model pipelines, designing multi-agent workflows, and creating reusable SDKs and frameworks. They work across product, engineering, security, and governance teams to ensure AI systems are scalable, observable, cost-efficient, and compliant. Senior Engineers are responsible for defining design patterns, optimizing operational pipelines, and enabling internal reuse of proven solutions.
As an AI Engineer, you will own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production. You will work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals all while solving complex problems, ensure HIPAA compliance and Responsible AI practices.
Education
  • Bachelor's degree in Computer Science, Data Science, Computer Engineering, Mathematics/Statistics, or related field or equivalent practical experience delivering production AI/ML systems. (Preferred)

  • Master's or equivalent experience (Preferred)

Certification/Licensure
  • Microsoft Certified: Azure AI Engineer, Azure Solutions Architect, or ML specialty credentials (Preferred)

Experience
  • 5 years in production-grade AI/ML (Required)

  • 3 years building and operating production AI/ML systems - training, deployment, monitoring (Required)

  • One year GenAI/LLM or RAG solution delivered to production or equivalent experience open-source contributions, or startups. (Required)

We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: 106,080 - 176,820.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
Benefits: Caring For Your Family and Your Career
• Medical, Dental, Vision plans
• Adoption, Fertility and Surrogacy Reimbursement up to 10,000
• Paid Time Off and Sick Leave
• Paid Parental & Family Caregiver Leave
• Emergency Backup Care
• Long-Term, Short-Term Disability, and Critical Illness plans
• Life Insurance
• 401k/403B with Employer Match
• Tuition Assistance - 5,250/year and discounted educational opportunities through Guild Education
• Student Debt Pay Down - 10,000
• Reimbursement for certifications and free access to complete CEUs and professional development
• Pet Insurance
• Legal Resources Plan
• Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.
Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves.
In support of our mission "to improve health every day," this is a tobacco-free environment.
For positions that are available as remote work, Sentara Health employs associates in the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

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