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Mathematical Optimization Remote Jobs (NOW HIRING)

Brain Gain Recruiting

Explainable AI Engineer

Palo Alto, CA · On-site +1

$114K - $157K/yr

Mathematical optimization * Decision and Control * Experience with MATLAB * Experience in Java and ... This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA ...

Zillow

Sr. Applied Scientist

$152K - $244K/yr

This role has been categorized as a Remote position. "Remote" employees do not have a permanent ... Experience applying mathematical optimization techniques (such as constraint-based optimization ...

ProsperOps

Cloud Billing & Optimization Specialist

We're a fully remote team, so 100% of our roles are open to applicants anywhere in the region in ... Unafraid of Math - you are comfortable working with numbers, reading complex charts, and ad hoc ...

NoTraffic

Signal Optimization Engineer

Overland Park, KS · Remote

$81K - $110K/yr

Must be willing to work in a hybrid environment consisting of on-site work and remote work. This is ... BachelorsinCivil Engineering or Related Field (mathematics, physics, other engineering, etc.

Apetan Consulting

Data Scientist

Chicago, IL · Remote

Chicago IL - Remote Senior Data Scientist - AI, Machine Learning, NLP & Risk Analytics. This is ... Apply mathematical optimization techniques to business and operational challenges · Support ...

New

Hitachi

Senior Optimization Engineer

Santa Clara, CA · Remote

$122K - $168K/yr

Engineering & Science Job Schedule: Full time Remote: No At Hitachi Energy, we are driving the ... As a Senior Optimization Engineer, you will work at the intersection of advanced mathematics ...

DEFCON AI

Senior Full Stack Software Engineer

DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization ... A fully remote, results-based environment * Competitive salary, bonus, and equity package * 100 ...

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Mathematical Optimization Remote information

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$83.5K

$127K

$171K

How much do mathematical optimization remote jobs pay per year?

As of Jun 20, 2026, the average yearly pay for mathematical optimization remote in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

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

Remote mathematical optimization professionals often encounter challenges such as limited real-time collaboration with team members, managing complex problem-solving tasks independently, and ensuring effective communication of technical findings to non-technical stakeholders. To address these challenges, it's helpful to establish regular virtual meetings, use collaborative tools for sharing code and results, and develop clear documentation. Additionally, proactively seeking feedback and staying engaged with the broader team can help maintain alignment and foster innovation.

What is a Mathematical Optimization Remote job?

A Mathematical Optimization Remote job involves using mathematical techniques and algorithms to solve optimization problems, such as maximizing efficiency or minimizing costs, while working from a remote location. Professionals in this field apply optimization theory, modeling, and computational methods to real-world problems in industries like logistics, finance, engineering, and data science. Remote roles allow for flexibility, enabling collaboration with teams and clients online while leveraging specialized software and programming languages such as Python, MATLAB, or R.

Can dyslexia affect math?

Dyslexia primarily impacts reading and language processing, but it can also affect math skills, especially in areas involving word problems, sequencing, and symbol recognition. In a mathematical optimization role, strong analytical and technical skills are essential, and individuals with dyslexia can succeed by utilizing tools like visual aids, software, and accommodations to support their learning and performance.

Why did Finn stop saying mathematical?

There is no known connection between the job of Mathematical Optimization Remote and someone named Finn stopping to say 'mathematical.' If this refers to a specific individual or context, it is unrelated to the job role, which involves applying mathematical techniques to optimize processes remotely. The phrase may be a personal or humorous reference rather than a professional or industry-related change.

Is Royal Holloway good for maths?

Royal Holloway offers a reputable mathematics program with strong research and teaching quality, making it a solid choice for students interested in mathematics. For those pursuing a mathematical optimization remote role, a solid foundation in advanced mathematics and familiarity with relevant tools like programming languages or optimization software are beneficial. The university's curriculum can support skills needed for such roles.

What is the difference between Mathematical Optimization Remote vs Data Analyst Remote?

AspectMathematical Optimization RemoteData Analyst Remote
Required CredentialsDegree in Mathematics, Operations Research, or related field; proficiency in optimization softwareDegree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborative with teams on complex modeling projectsRemote, focused on data collection, visualization, and reporting
Industry UsageFinance, logistics, supply chain, tech companiesMarketing, finance, healthcare, tech companies
Common Search/ComparisonYesNo

Mathematical Optimization Remote specialists focus on developing algorithms to optimize processes and decision-making, often requiring advanced mathematical skills. Data Analysts Remote interpret data to provide insights, using statistical tools. While both roles are remote and involve data, they differ in technical focus and industry applications.

What are the key skills and qualifications needed to thrive as a Mathematical Optimization Specialist working remotely, and why are they important?

To thrive as a Mathematical Optimization Specialist in a remote setting, you need a strong background in mathematics, operations research, or computer science, often supported by an advanced degree. Proficiency with optimization software (such as Gurobi, CPLEX, or MATLAB), programming languages like Python or R, and familiarity with cloud-based collaboration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear communication skills help you stand out when collaborating with distributed teams and stakeholders. These skills and qualities are crucial for efficiently developing, implementing, and explaining optimization solutions in a remote work environment.
More about Mathematical Optimization Remote jobs
What cities are hiring for Mathematical Optimization Remote jobs? Cities with the most Mathematical Optimization Remote job openings:
What are the most commonly searched types of Mathematical Optimization jobs? The most popular types of Mathematical Optimization jobs are:
What states have the most Mathematical Optimization Remote jobs? States with the most job openings for Mathematical Optimization Remote jobs include:
What job categories do people searching Mathematical Optimization Remote jobs look for? The top searched job categories for Mathematical Optimization Remote jobs are:
Mathematical Optimization Remote jobs near you
Infographic showing various Mathematical Optimization Remote job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 74% Full Time, and 25% Part Time. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Explainable AI Engineer

Explainable AI Engineer

Brain Gain Recruiting

Palo Alto, CA • On-site, Remote

$114K - $157K/yr

Full-time, Part-time

Posted 19 days ago

Job description

Company Description

We’re an Industrial AI start-up founded by a Stanford professor and led by recognized leaders in Data Intelligence for Aerospace & Defense supply chain operations. Our Enterprise SaaS AI Application improves sustainment of the U.S. Air Force’s 5,000-aircraft fleet ($100B yearly budget). Having delivered $200M+ in cost avoidances, we are growing 4x in repeat contracts.

We are building hallucination-free Agentic AI for mission critical decision support where GenAI relies on proprietary Explainable AI engines for SME-explainable insights from historical data.

Job Description

We’re hiring an Explainable AI Engineer to build, integrate, and deploy our AI Engines and Agentic AI workflows. You’ll have an opportunity to learn from Stanford and Georgia Tech professors and work across algorithms and data pipelines to evolve our Explainable AI including

  • Development of deep math features for the models, ML, and inferences
  • Automation of data wrangling and cleansing towards scalability
  • Aerospace grade V&V for mission critical functions using simulations
  • Explainable AI engine interfaces to data, human users, and Agentic AI

Main Responsibilities:

  • Understand, develop, & support deep math analytics in Explainable AI Engines
  • Build, evolve, verify, and validate data processing pipeline segments
  • Support scalable deployment of the AI
  • Integrate Explainable AI with LLM tools for Agentic AI experience
  • Collaborate with the cloud software team and occasionally with customers
  • Document Explainable AI for customer users and internal software developers
Qualifications

Must-haves

  • Experience with productized analytical applications
  • Experience building mission-critical applications as a part of a team
  • Hands-on skills in at least some of mathematical methods in:
    • Statistics
    • Bayesian estimation
    • Mathematical optimization
    • Decision and Control
  • Experience with MATLAB
  • Experience in Java and GitHub (Actions).
  • Solid experience writing technical documentation
  • Strong collaboration and communication skills.
  • Bachelor’s Degree in Engineering or a related field
  • U.S. Citizenship.

Pluses

  • Model-based development / simulation-based verification
  • Operations Research
  • Supply chain and/ or MRO in the aerospace industry
  • Building SaaS type applications
  • Shell scripting, Golang.
  • Experience with GenAI and LLM augmentation (RAG)
  • An advanced degree

Additional Information
  • US Citizenship Required: This position requires the ability to work with Controlled Unclassified Information for the Department of Defense.
  • A background check and a drug check may be required.
  • Location: This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA office may be a plus.
  • You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least 10 hours/ week), or a full-time employee.