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Remote Mathematical Engineer Jobs in Gulfport, MS

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Remote Mathematical Engineer information

See Gulfport, MS salary details

$36.3K

$106.7K

$136.8K

How much do remote mathematical engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote mathematical engineer in Gulfport, MS is $106,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $135,300.00 per year, depending on experience, location, and employer.

What is a remote mathematical engineer?

A Remote Mathematical Engineer is a professional who applies advanced mathematical theories, techniques, and computational methods to solve complex problems in various fields, such as engineering, finance, technology, and data science, while working from a remote location. They often develop algorithms, create mathematical models, and analyze data to support decision-making or product development. Remote roles allow these engineers to collaborate with teams and clients online, using specialized software and communication tools. This position typically requires strong analytical skills, proficiency in mathematics and programming, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote mathematical engineer?

To thrive as a Remote Mathematical Engineer, you need a strong background in advanced mathematics, problem-solving, and programming, typically with a degree in mathematics, engineering, or a related field. Familiarity with tools like MATLAB, Python, R, and mathematical modeling software, as well as experience with version control systems such as Git, is important. Strong analytical thinking, self-motivation, and effective remote communication skills help you excel in collaborative and independent work environments. These competencies ensure you can develop, implement, and communicate complex mathematical solutions for real-world problems while effectively collaborating across distributed teams.

How do remote mathematical engineers typically collaborate with cross-functional teams while working from different locations?

Remote Mathematical Engineers often work closely with software developers, data scientists, and project managers using collaborative tools like video conferencing, shared code repositories, and project management platforms. Regular virtual meetings help ensure alignment on project goals and allow for real-time problem-solving. Effective communication and documentation skills are essential, as much of the collaboration happens asynchronously. Building strong relationships with team members and proactively sharing progress updates are key to thriving in this remote, team-oriented environment.

What is the difference between Remote Mathematical Engineer vs Remote Data Scientist?

AspectRemote Mathematical EngineerRemote Data Scientist
Required CredentialsMathematics, Engineering, or related technical degrees; strong analytical skillsStatistics, Computer Science, or related degrees; data analysis expertise
Work EnvironmentCollaborates with engineering teams on algorithm development and modelingAnalyzes data to extract insights, builds predictive models
Employer & Industry UsageTech, finance, aerospace, research institutionsTech companies, finance, healthcare, consulting
Search & Comparison IntentFocuses on mathematical modeling and engineering solutionsFocuses on data analysis and machine learning applications

Remote Mathematical Engineers primarily develop mathematical models and algorithms for engineering problems, often working closely with technical teams. Remote Data Scientists analyze large datasets to generate insights and predictive models. While both roles require strong analytical skills and technical backgrounds, their focus areas differ: engineering solutions versus data analysis.

What are popular job titles related to Remote Mathematical Engineer jobs in Gulfport, MS?

For Remote Mathematical Engineer jobs in Gulfport, MS, the most frequently searched job titles are:

Remote Mathematical Engineer jobs near you

Research Intern on Generative and Protective AI for Content Creation

Biloxi, MS • On-site, Remote

Sony
Appliances and Electrical and Electronics Wholesalers • 10K+ employees
Learn more about Sonyexternal

$50/hr

Full-time

Re-posted 16 hours ago

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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