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Machine Learning Operations Research Jobs (NOW HIRING)

Apple

Machine Learning Engineer

Cupertino, CA · On-site

Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.Proficiency in one or more object-oriented programming languages such as Python ...

Oxman

Machine Learning Research Engineer

New York, NY · On-site

$142K - $224K/yr

D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or related fields. * Demonstrated experience working in cross-functional teams bridging ML research with ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Apple

Machine Learning (MLOps) Engineer

Cupertino, CA · On-site

Bachelor's Degree in Software Engineering, Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.Proven track record of shipping and maintaining ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · On-site +1

$66K - $90K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$66K - $90K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$71K - $96K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$71K - $96K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$71K - $96K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

Collaborate closely with ML researchers make new algorithms product ready. * More typical DevOps responsibilities for software development as required. Required Qualifications * 3+ years of ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

Collaborate closely with ML researchers make new algorithms product ready. * More typical DevOps responsibilities for software development as required. Required Qualifications * 3+ years of ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

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Machine Learning Operations Research information

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$43.5K

$102.5K

$136K

How much do machine learning operations research jobs pay per year?

As of Jun 5, 2026, the average yearly pay for machine learning operations research in the United States is $102,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Operations Research professional, and why are they important?

To thrive in Machine Learning Operations Research, you need strong expertise in mathematics, statistics, machine learning algorithms, and optimization techniques, typically supported by a degree in computer science, engineering, or a related quantitative field. Proficiency in programming languages like Python or R, experience with ML frameworks (such as TensorFlow or PyTorch), and knowledge of cloud computing platforms and version control systems are commonly required. Exceptional problem-solving abilities, analytical thinking, and effective communication are critical soft skills for collaborating across interdisciplinary teams. These skills and qualifications are essential for designing robust, scalable solutions that drive data-driven decision-making and operational efficiency.

What are Machine Learning Operations Research jobs?

Machine Learning Operations Research jobs involve applying principles from operations research and machine learning to solve complex decision-making and optimization problems in various industries. Professionals in this field use mathematical modeling, data analysis, and algorithm development to optimize processes, improve efficiency, and provide data-driven recommendations. They often collaborate with data scientists, engineers, and business stakeholders to implement scalable solutions that leverage both machine learning techniques and quantitative analysis. These roles are commonly found in sectors like logistics, finance, supply chain management, and manufacturing.

How does a Machine Learning Operations Research professional typically collaborate with cross-functional teams during a project lifecycle?

Machine Learning Operations Research professionals often work closely with data scientists, software engineers, and business stakeholders throughout a project's lifecycle. They are responsible for translating business objectives into quantitative models, integrating those models into production systems, and ensuring that solutions are scalable and reliable. Regular collaboration includes discussing problem formulations with stakeholders, sharing progress with technical teams, and refining models based on feedback and operational constraints. This cross-functional teamwork helps ensure that analytical solutions are both technically robust and aligned with business goals.
Infographic showing various Machine Learning Operations Research job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $102,462 per year, or $49.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apple

Cupertino, CA • On-site

Full-time

Posted 3 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine learning solutions from research and experimentation through to robust, production-grade deployment.
The MLE will collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment. This hire will design end-to-end AI/ML solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. You will benchmark, adapt, and integrate AI/ML models into existing systems.
8 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems.Experience building large-scale machine learning systems using big data technologies such as Spark, SQL, Snowflake, or similar platforms.Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Familiarity with MLOps practices including model versioning, CI/CD pipelines, and experiment tracking tools such as MLflow or similar.Experience building and deploying applications using large language models (e.g., GPT-4, Claude, Gemini, or open-source alternatives) via APIs or self-hosted inference.Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, or AutoGen to build multi-step, tool-augmented AI workflows.
10 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.Solid understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.Strong problem-solving skills with the ability to translate ambiguous business problems into well-defined ML solutions.Excellent cross-functional communication skills with the ability to collaborate effectively across engineering and data science teams.Familiarity with LLM evaluation practices including output quality assessment, hallucination detection, and latency benchmarking in production environments.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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