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Live In Operations Research Engineer Jobs in California

Alutiiq

Operations Research Analyst

El Segundo, CA

$215K - $250K/yr

Citizenship Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Systems Engineering, Physics, Industrial Engineering, or a closely related discipline Minimum 15 years of ...

Alutiiq, LLC

Operations Research Analyst

El Segundo, CA · On-site

$215K - $250K/yr

Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Systems Engineering, Physics, Industrial Engineering, or a closely related discipline * Minimum 15 years of progressively ...

Hudson River Trading

Research Engineer

London, CA

... operations. Our non-siloed, collaborative coding environment empowers talented engineers to make ... Building systems to monitor and manage live trading. * Specializing in specific time horizons, from ...

University of California

Research Engineer

Pasadena, CA · On-site

$80 - $104.70/hr

... operations, R&D toward detector improvements, gravitational-wave astrophysics, observatory ... This position is an in-person role located in Pasadena, California. As a Research Engineer in the ...

Caltech

Research Engineer

Pasadena, CA · On-site

... operations, R&D toward detector improvements, gravitational-wave astrophysics, observatory ... This position is an in-person role located in Pasadena, California. As a Research Engineer in the ...

Jobzhr

Research Engineer

San Francisco, CA · On-site

$140 - $190/hr

Research Engineer Responsibilities Factory is seeking innovative Research Engineers to design and ... large-scale operational demands Qualifications * 2+ years of hands-on experience in AI/ML ...

Clera

Research Engineer

San Francisco, CA · On-site

$150K - $250K/yr

About the Role This is a Research Engineer role at an early-stage AI infrastructure startup ... Candidates based in Singapore are also considered.

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Live In Operations Research Engineer information

What is the difference between Live In Operations Research Engineer vs Operations Research Analyst?

AspectLive In Operations Research EngineerOperations Research Analyst
CredentialsBachelor's or Master's in Operations Research, Industrial Engineering, or related fieldsBachelor's or Master's in Operations Research, Mathematics, or related fields
Work EnvironmentOn-site, often in specialized facilities or client locations, with long hoursOffice-based, primarily analytical and report-focused tasks
Industry UsageUsed in industries like manufacturing, logistics, and government agencies requiring on-site presenceCommon in consulting, corporate, and government sectors for data analysis and modeling

Live In Operations Research Engineers typically work on-site in specialized environments, often requiring long hours and direct involvement in operational settings. Operations Research Analysts usually work in office settings, focusing on data analysis, modeling, and reporting. Both roles require similar educational backgrounds but differ mainly in work environment and industry application.

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Machine Learning/Operations Research Engineer

Socket.dev

Cupertino, CA • On-site

$180 - $280/hr

Other

Posted 17 days ago

Job description

DESCRIPTION

With the explosive growth of Apple products we are creating new opportunities for individuals to work on the most exciting new technologies at Apple. We are seeking a machine learning/operations research engineer to apply advanced mathematical modeling, statistical analysis, and optimization algorithms to solve complex manufacturing challenges. Machine learning/operations research engineers on our team directly impact our factory throughput, supply chain strategies, and cost-reduction initiatives by transforming raw operational data into actionable, data-driven decisions.

MINIMUM QUALIFICATIONS
  • Master’s degree or PhD in Operations Research, Industrial Engineering, Management Science, Applied Mathematics, or related field. Proficiency with solvers and modeling languages such as Gurobi, CPLEX, CP-SAT, Pyomo, and GAMS.
  • Hands-on experience with simulation platforms like Arena, FlexSim, SimPy, and AnyLogic. Experience with machine learning platforms such as PyTorch and Scikit-learn.
  • Excellent communication and presentation skills; ability to explain complex statistical and mathematical theories to non-technical stakeholders in simple, universal language.
PREFERRED QUALIFICATIONS
  • Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and fine-tuning is a major plus.
  • Proficiency in using cutting-edge GenAI tools, i.e. Claude Code, Roo Code, etc.
  • Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus.
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