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Gurobi Cplex Jobs (NOW HIRING)

The candidate should have production experience with mixed-integer linear programming and be proficient in using optimization tools like Gurobi, CPLEX, Pulp etc. * Develop optimization models for ...

Google OR-Tools, Gurobi, CPLEX, HiGHS, SCIP, or equivalent. • Strong programming skills in Python; C++ or Java a plus. • Hands-on experience with cloud platforms, particularly AWS, including ...

Principal Quant Developer

Pawtucket, RI · On-site +1

$107K - $216K/yr

Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex, Axioma, Gurobi, or SciPy) * Experience with Python and micro-services / RESTful APIs * Proven ability ...

Principal Quant Developer

Bahama, NC · On-site +1

$107K - $216K/yr

Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex, Axioma, Gurobi, or SciPy) * Experience with Python and micro-services / RESTful APIs * Proven ability ...

Principal Quant Developer

Hoboken, NJ · On-site +1

$107K - $216K/yr

Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex, Axioma, Gurobi, or SciPy) * Experience with Python and micro-services / RESTful APIs * Proven ability ...

Principal Quant Developer

Elizabeth, NJ · On-site +1

$107K - $216K/yr

Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex, Axioma, Gurobi, or SciPy) * Experience with Python and micro-services / RESTful APIs * Proven ability ...

Principal Quant Developer

Secaucus, NJ · On-site +1

$107K - $216K/yr

Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex, Axioma, Gurobi, or SciPy) * Experience with Python and micro-services / RESTful APIs * Proven ability ...

Principal Quant Developer

Raleigh, NC · On-site +1

$107K - $216K/yr

Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex, Axioma, Gurobi, or SciPy) * Experience with Python and micro-services / RESTful APIs * Proven ability ...

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Gurobi Cplex information

What are the key skills and qualifications needed to thrive as an Optimization Specialist using Gurobi and CPLEX, and why are they important?

To thrive as an Optimization Specialist using Gurobi and CPLEX, you need a strong background in mathematics, operations research, and computer science, often supported by a relevant degree. Proficiency in optimization modeling languages (such as Python, AMPL, or OPL), hands-on experience with Gurobi and CPLEX solvers, and familiarity with relevant certifications or training are highly valuable. Exceptional analytical thinking, problem-solving ability, and clear communication skills set top candidates apart. These skills ensure effective development and deployment of optimization models that solve complex business problems efficiently and accurately.

What are Gurobi and CPLEX?

Gurobi and CPLEX are advanced mathematical optimization solvers used to solve complex linear, mixed-integer, and quadratic programming problems. They are widely used in operations research, data science, and engineering fields to find the best solutions under given constraints. Both solvers offer powerful APIs for integration with programming languages such as Python, Java, and C++. Organizations use Gurobi and CPLEX to optimize logistics, scheduling, resource allocation, and various decision-making processes.

What is the difference between Gurobi Cplex vs Operations Research Analyst?

AspectGurobi CplexOperations Research Analyst
Required CredentialsAdvanced degree in math, CS, OR; certifications often preferredBachelor's or master's in OR, math, or related fields
Work EnvironmentSoftware development, optimization modeling, technical analysisData analysis, problem-solving, report writing
Industry UsageSupply chain, finance, manufacturing, techLogistics, consulting, government, corporate sectors

Gurobi Cplex is a software tool used for optimization modeling, requiring technical skills and programming knowledge. Operations Research Analysts utilize such tools but focus more on analyzing data and applying optimization techniques to solve complex problems. While both roles overlap in industry and skills, Gurobi Cplex is a specialized software, whereas Operations Research Analysts are professionals who use such tools to inform decision-making.

What types of projects or problems does a Gurobi/CPLEX specialist typically work on within a team setting?

As a Gurobi/CPLEX specialist, you will often collaborate with data scientists, operations researchers, and software engineers to tackle complex optimization problems such as supply chain planning, scheduling, or logistics. Your responsibilities may include modeling mathematical formulations, fine-tuning solver parameters, and integrating optimization solutions into larger business applications. Effective communication is key, as you’ll need to translate business requirements into mathematical models and explain results to non-technical stakeholders. The role offers opportunities to work on diverse projects and to continuously learn about new industry applications of optimization technology.
More about Gurobi Cplex jobs
What cities are hiring for Gurobi Cplex jobs? Cities with the most Gurobi Cplex job openings:
What states have the most Gurobi Cplex jobs? States with the most job openings for Gurobi Cplex jobs include:
Infographic showing various Gurobi Cplex job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, 17% Part Time, and 10% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Machine Learning Engineer - Gurobi Scheduling Optimization (Hybrid)

Match Made Tech

Los Angeles, CA • On-site, Remote

$75 - $95/hr

Other

Posted 20 days ago


Job description

Machine Learning Engineer - Scheduling Optimization (Greenfield Project)
SPONSORSHIP NOT AVAILABLE- MUST BE US CITIZEN/ GREEN CARD HOLDER
LOCATION: Irvine, CA (onsite). Monday throughThursday onsite, Fridays remote.
COMPENSATION: $75-95 an hour. This is a 2-year contract that will convert to full-time.
About the Role:
We're looking for our first-ever AI/ML Engineer to take full ownership of a brand-new AI scheduling engine - built entirely from the ground up. This engine will intelligently optimize scheduling for over 1 million employees worldwide, making this one of the most impactful greenfield AI initiatives you'll find anywhere.
This is a rare opportunity to shape architecture, design, and engineering direction from day one - with complete autonomy. If you've ever wanted to own something end-to-end, influence technical decisions at every layer, and build a platform that will redefine workforce optimization at scale - this is it.
What You'll Do:
  • Build the Core Optimization Engine: Design and implement robust optimization models using Gurobi, CPLEX, OR-Tools, or similar solvers.
  • Model Real-World Complexity: Translate intricate scheduling rules - labor laws, coverage, shift constraints - into elegant, scalable mathematical formulations.
  • Integrate AI & Forecasting: Combine machine learning predictions with optimization models to create smarter, adaptive scheduling recommendations.
  • Engineer for Scale: Develop modular, production-grade systems in Python, with SQL and AWS for large-scale data processing and deployment.
  • Collaborate & Innovate: Work with a cross-functional, startup-minded team to continuously refine models, improve performance, and push the boundaries of AI scheduling.
Tech Stack:
  • Languages: Python (Pyomo, Pandas, NumPy), SQL
  • Optimization Tools: Gurobi
  • ML Integration: Demand forecasting, staffing prediction, and scheduling recommendations
What You Bring
  • Hands-on experience designing and implementing optimization or constraint-based systems using Gurobi or similar tools
  • Strong proficiency in Python and SQL
  • Background in machine learning, forecasting, or hybrid optimization approaches
  • Solid understanding of algorithms, operations research, or scheduling constraints
  • Familiarity with CI/CD, Docker, and cloud deployments (AWS)
Bonus Points:
  • Experience in workforce scheduling or resource optimization at scale
  • Bachelor's or Master's in Computer Science, Operations Research, or Applied Mathematics
Why This Role Is Exciting
  • Greenfield Autonomy: Own the architecture, design, and build - no legacy code, no constraints.
  • Massive Impact: Your work will directly influence scheduling for hundreds of thousands of employees globally.
  • Cutting-Edge Tech: Blend optimization, ML, and systems design to solve complex real-world problems.
  • Visionary Team: Join a team that values innovation, curiosity, and the courage to build something new from scratch.