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Research Scientist Optimization Jobs (NOW HIRING)

About The Role As a Research Scientist at Phonic, you'll drive original research that pushes the ... Fluency in the math, probability, optimization, linear algebra, and the ability to reason about ...

Required : โ€ข PhD in Computer Science, Machine Learning, Operations Research, Economics, Applied ... โ€ข Combinatorial Optimization + ML: Graph neural networks for scheduling or routing (GCN ...

Research Scientist Turn Innovation into Products That Labs Depend On Why This Role Matters The next ... Design and execute experimental workflows for the discovery, optimization, and validation of new ...

Research Scientist

San Francisco, CA ยท On-site

$200K - $325K/yr

Contribute to Hedra's research culture and external scientific reputation Qualifications: * PhD in ... Experience with RLHF, DPO, or preference optimization for model alignment is a plus * Strong ...

The Research Scientist will play a central role in advancing federally funded research initiatives ... Design, synthesis, and optimization of polymer-based and hybrid sensor materials for environmental ...

Research Scientist

Poway, CA ยท On-site

$90/hr

Research Scientist Turn Innovation into Products That Labs Depend On Why This Role Matters The next ... Design and execute experimental workflows for the discovery, optimization, and validation of new ...

Senior Research Scientist

Broomfield, CO ยท On-site

$190K - $252K/yr

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

Explore IK-based, optimization-based, and learning-based retargeting approaches. Policy Learning ... Warning: Research Scientist positions require hyper-specific expertise. Please limit your ...

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Research Scientist Optimization information

See salary details

$50.5K

$130.1K

$174K

How much do research scientist optimization jobs pay per year?

As of Jul 13, 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 are the key skills and qualifications needed to thrive as a Research Scientist in Optimization, and why are they important?

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 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 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.

More about Research Scientist Optimization jobs
What cities are hiring for Research Scientist Optimization jobs? 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:
Infographic showing various Research Scientist Optimization job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

NLP Research Scientist

OPPO US Research Center

Palo Alto, CA โ€ข On-site

Full-time

Re-posted 26 days ago


Job description

OPPO Research Center is seeking a passionate and innovative Research Scientist to advance our next-generation AI hardware platforms-including AI Glass/Earphone/etc.-through cutting-edge generative AI research. You will drive the design, training, and deployment of multimodal intelligence models that seamlessly integrate language, vision and action. As part of our collaborative team, you will co-design algorithms and hardware, translate research into real-world products, and publish at top-tier AI conferences.

Requirements

Key responsibilities:

  • Develop LLM model with parameter number around 1 billion, with special focus on developing innovative LLM architectures for long context memory, and in-context retrieve and generation
  • Develop synthetic data pipeline/creating real data pipeline for LLM training
  • Develop effective methods for benchmarking, e.g., LLM-As-Judge
  • Collaborate closely with hardware engineers, software developers, and product teams to integrate research prototypes into production systems
  • Publish research findings in premier AI conferences (e.g., ICLR, NeurIPS)

Qualifications

Minimum:

  • Master/Ph.D. in AI, Computer Science, or a related discipline, with a focus on NLP/AI
  • Strong background in generative AI, with hands-on experience developing LLM
  • Practical expertise in training and optimizing large language models for both cloud and edge inference
  • Excellent programming skills in Python

Preferred:

  • Deeply knowing the concept of LLM context, memory, RAG, and has related experiences in those topics
  • Has the experience to build LLM training dataset, and benchmark, with such proved record in publications
  • Experience with large language model with parameter number around 1 billion, knowing the tradeoffs in such models
  • Contributions to open-source AI projects
  • Strong collaborative and communication skills

Benefits

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.