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Research Scientist Optimization Jobs (NOW HIRING)

Aalyria

Senior Research Scientist, Optimization Systems

$190K - $210K/yr

As a Research Scientist, you'll contribute to state-of-the-art algorithms which advance the most challenging large-scale optimization and resource management problems in communication networks. The ...

Anduril Industries

Research Scientist

Broomfield, CO

... optimization; * Engineering: controls, estimation theory, digital signal processing, and machine ... A Research Scientist should have effective written and verbal communication skills, with the ...

Anduril Industries

Research Scientist

Huntsville, AL

... optimization; * Engineering: controls, estimation theory, digital signal processing, and machine ... A Research Scientist should have effective written and verbal communication skills, with the ...

AlphaRoute

Data Scientist - Optimization/Operations Research Engineer (Boston Area, Full-Time, Salary) Who We Are AlphaRoute is a startup that provides dynamic, end-to-end software, advanced analytics, and ...

Anduril Industries

Research Scientist

Broomfield, CO · On-site

$126K - $167K/yr

Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; * Probability: statistics and random processes. * A Research Scientist should have ...

Anduril Industries

Research Scientist

Huntsville, AL · On-site

$165K - $218K/yr

Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; * Probability: statistics and random processes. * A Research Scientist should have ...

Anduril Industries

Research Scientist

Fort Collins, CO · On-site

$165K - $218K/yr

Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization; * Probability: statistics and random processes. * A Research Scientist should have ...

Anduril Industries

Senior Research Scientist

Broomfield, CO

$99K - $126K/yr

... optimization; * Engineering: controls, estimation theory, digital signal processing, and machine ... A Research Scientist should have effective written and verbal communication skills, with the ...

Amazon

Research Scientist, CloudTune

Seattle, WA

CloudTune is looking for a Research Scientist to join our forecasting and optimization team. The team develops sophisticated algorithms that combine machine learning-based demand forecasting with ...

New

Amazon

Research Scientist, CloudTune

Seattle, WA · On-site

CloudTune is looking for a Research Scientist to join our forecasting and optimization team. The team develops sophisticated algorithms that combine machine learning-based demand forecasting with ...

New

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Research Scientist Optimization information

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$50.5K

$130.1K

$174K

How much do research scientist optimization jobs pay per year?

As of Sep 12, 2026, the average yearly pay for research scientist optimization in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a research scientist in optimization do?

A Research Scientist in Optimization specializes in developing and applying mathematical techniques to improve processes, systems, or algorithms. Their work often involves formulating optimization problems, designing solutions, and collaborating with engineers or data scientists to implement and test their models. These scientists may work in various industries, such as technology, logistics, finance, or manufacturing, to help organizations make better decisions, save resources, or improve performance. Their daily tasks include conducting experiments, analyzing large datasets, and publishing findings in scientific journals.

What are the key skills and qualifications needed to thrive as a research scientist in optimization?

To excel as a Research Scientist in Optimization, you need a strong background in mathematics, computer science, and optimization theory, often supported by a PhD in a related field. Familiarity with programming languages like Python or MATLAB, optimization libraries (e.g., Gurobi, CPLEX), and experience with data analysis tools are typically required. Critical thinking, creativity, and strong communication skills help in formulating novel approaches and presenting complex findings clearly. These skills drive the development of efficient algorithms and solutions, advancing research impact and innovation in the field.

What types of projects and collaborations can a research scientist in optimization expect to be involved in?

As a Research Scientist specializing in Optimization, you can expect to work on projects that involve developing and improving algorithms to solve complex real-world problems in areas such as logistics, supply chain, or machine learning. Collaboration is common, often involving cross-functional teams with data scientists, software engineers, and domain experts to implement and test optimization solutions. You may also contribute to academic publications, attend conferences, and sometimes mentor junior researchers, all while staying current with the latest advancements in optimization techniques.

What is the difference between Research Scientist Optimization vs Data Scientist?

AspectResearch Scientist OptimizationData Scientist
Required CredentialsMaster's or PhD in Operations Research, Mathematics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness analytics, tech companies, consulting firms
Industry UsageOptimization problems, algorithm development, mathematical modelingData analysis, predictive modeling, data visualization

Research Scientist Optimization focuses on developing mathematical models and algorithms to solve complex optimization problems, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models for business decisions. While both roles require strong analytical skills, Research Scientist Optimization emphasizes mathematical and algorithmic development, whereas Data Scientists focus on data analysis and interpretation.

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Cities with the most Research Scientist Optimization job openings:

What states have the most Research Scientist Optimization jobs?

States with the most job openings for Research Scientist Optimization jobs include:

What are popular job titles related to Research Scientist Optimization jobs?

For Research Scientist Optimization jobs, the most frequently searched job titles are:

Research Scientist Optimization jobs near you
Infographic showing various Research Scientist Optimization job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Senior Research Scientist, Optimization Systems

Remote

Aalyria
See more jobs at Aalyriaexternal

$190K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

About Aalyria:
Aalyria is a leading technology company that supplies laser communications technology and temporospatial software-defined networking platforms to the aerospace industry. With technology acquired from Google, Aalyria is at the forefront of innovation in satellite and airborne mesh networks, as well as cislunar and deep-space communications. We are revolutionizing the orchestration and management of planetary mesh networks using any radio or optical spectrum, any orbit, and any hardware across land, sea, air, and space.
Role Overview:
As a Research Scientist, you'll contribute to state-of-the-art algorithms which advance the most challenging large-scale optimization and resource management problems in communication networks. The successful candidate will join a vibrant and growing research team. This is an applied research role, and you will work with software engineers to integrate research efforts into practical capabilities that can operate at the scale and speed required by Spacetime's production systems.
Key Responsibilities:
  • Specify, research, design and develop scalable optimization algorithms for large, complex resource allocation problems.
  • Apply techniques from machine learning, integer optimisation, metaheuristic, or other algorithms to improve solution quality and computational efficiency.
  • Collaborate with researchers and engineers to translate research into commercial product capabilities.
  • Evaluate new approaches against realistic problem sizes, constraints, and performance requirements.
  • Publish at leading international conferences and contribute to patent applications.
  • Develop and maintain documentation related to novel algorithms developed by the team.

Required Qualifications:
  • A PhD and/or 8+ years of equivalent research experience in computer science, engineering, mathematics, statistics, or related field.
  • Strong skills in Python and working in Linux environments.
  • A track record of publishing in leading venues such as NeurIPS, ICLR/ICML, INFOCOM/IEEE, SIGCOMM, MobiCom, or ICC/GLOBECOM.
  • Demonstrated ability of working proactively in a self-motivated way.
  • Experience with at least one of:
    • Reinforcement learning/machine learning and associated libraries in Python (e.g. PyTorch, TensorFlow, or JAX).
    • Integer optimisation and associated libraries (e.g. Gurobi, CBC, Google OR tools).
    • Network science, graph theory, geometric deep learning, or representation learning on dynamic graphs (e.g. clustering, temporal GNNs).
    • Metaheuristic algorithms.

Preferred Qualifications:
  • Experience working in the wireless communication, satellite communications and/or software defined networking space.
  • Experience deploying optimization or ML models into production systems with real-time or near-real-time performance constraints.
  • Familiarity with satellite orbital mechanics, RF link budgets, or scheduling problems in constrained networks.
  • Experience with distributed computing frameworks (e.g., Ray, Dask) for scaling optimization or training workloads.
  • Contributions to open-source optimization, ML, or networking libraries.
  • Experience mentoring junior researchers or engineers, or leading small technical workstreams.

What We Offer:
  • Innovative Environment: Work at a cutting-edge company shaping the future of aerospace communications.
  • Impactful Work: Directly contribute to critical national security programs and initiatives.
  • Growth Opportunities: Expand your career with opportunities for professional development and advancement.
  • Inclusive Culture: Be part of a collaborative, supportive, and inclusive workplace where your contributions matter.
  • Flexibility: Flexible working arrangements including hybrid remote/in-office schedules.
  • Compensation and Equity: Competitive salary, comprehensive benefits (401(k), dental, vision, health, life insurance), paid time off, and equity options.

ITAR/EAR Requirements:
This position involves access to export-controlled information. To comply with U.S. government export regulations, applicants must meet one of the following criteria:
(A) Qualify as a U.S. person, which includes:
  • U.S. citizen or national
  • U.S. lawful permanent resident (green card holder)
  • Refugee under 8 U.S.C. 1157
  • Asylee under 8 U.S.C. 1158

(B) Be eligible to access export-controlled information without requiring an export authorization.
(C) Be eligible and reasonably likely to obtain the necessary export authorization from the appropriate U.S. government agency.
The company reserves the right to decline pursuing an export licensing process for legitimate business-related reasons.
Equal Opportunity Employer Statement:
Aalyria is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Qualified applicants from all backgrounds are encouraged to apply.
The pay range for this role is:
190,000 - 210,000 USD per year (Remote (United States))
200,000 - 220,000 USD per year (Remote (San Francisco, CA))

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