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Machine Learning Operations Research Jobs (NOW HIRING)

Apple

Machine Learning Engineer

Cupertino, CA

$212K - $318K/yr

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 ...

Tennr

Machine-Learning Operations Engineer

New York, NY · On-site

$190K - $230K/yr

You'll own building machine learning training and inference pipelines that can handle increasing ... Develop and maintain infrastructure that supports efficient ML operations, including data pipelines ...

Tennr

Machine-Learning Operations Engineer

Manhattan, NY · On-site

$76K - $103K/yr

As the first ML Ops Engineer, you will build and iterate on machine learning systems, ensuring efficient deployment and scalability of AI models to enhance patient care and provider operations.

Chewy

Machine Learning Engineer III

Boston, MA · On-site +1

$175K - $249K/yr

Machine Learning Engineer I II Boston, MA - Merchandising - Full time - R29868 What you'll do ... Master's degree or foreign equivalent in Operations Research, Data Science, Computer Engineering ...

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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 6, 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 & Operations Engineer

Machine Learning & Operations Engineer

OptiTrack

Corvallis, OR • Remote

$72K - $97K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

OptiTrack is a global leader in motion capture technology, delivering precision tracking solutions for animation, robotics, virtual production, biomechanics, and industrial applications.

About the Role

OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning. This role sits at the intersection of machine learning engineering and infrastructure, focusing on automation of data validation pipelines, orchestration of large-scale experiments, and deployment of high-performance algorithms.

This is a fully remote position, working cross-functionally with research and engineering teams.

What You’ll Do

  • Design and maintain automated ML training pipelines.
  • Build infrastructure for large-scale distributed experimentation.
  • Develop CI/CD workflows tailored for machine learning systems.
  • Orchestrate data ingestion, preprocessing, validation, and model versioning.
  • Implement experiment tracking, hyperparameter tuning automation, and reproducibility systems.
  • Optimize GPU/compute utilization across cloud and on-prem environments.
  • Deploy, monitor, and maintain production ML models
  • Establish and enforce MLOps best practices including model registry, artifact management, and observability.
  • Improve system reliability, performance, and security.
  • Collaborate closely with ML researchers make new algorithms product ready.
  • More typical DevOps responsibilities for software development as required.

Required Qualifications

  • 3+ years of experience in MLOps, ML infrastructure, Machine Learning, or related roles or relevant degree experience.
  • Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar)
  • Experience building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
  • Hands-on experience with containerization (Docker) and orchestration
  • Experience managing GPU workloads and distributed training systems
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Strong understanding of automation, infrastructure reliability, and data pipelines
  • Ability to work with both European and US developers.

Preferred Qualifications

  • Experience with motion capture or computer vision systems
  • Familiarity with experiment tracking tools (MLflow, Weights & Biases, etc.)
  • Background in distributed systems or high-performance computing
  • Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow)
  • Infrastructure as Code experience (Terraform, Pulumi, CloudFormation)
  • Experience with model optimization, inference acceleration, or edge deployment
  • Experience building tracking algorithms for device localization using techniques like SLAM
  • Strong problem-solving skills and attention to reproducibility
  • Comfortable working in a remote, collaborative environment, with international team members
  • Clear communicator who can bridge research and production engineering
  • Experience with image rendering pipelines in CryEngine.
  • Passion for building scalable AI infrastructure

Why Join OptiTrack?

  • Work on cutting-edge motion tracking systems
  • Contribute to technology used across robotics, animation, virtual reality, biomechanics, and virtual production
  • Remote-first flexibility
  • Opportunity to shape the next-generation of motion capture technology

All benefits start on first day of employment!

  • 75% employer-paid medical for employee. Family coverage also included. 
  • 100% employer paid dental, and vision for employee and dependents
  • 100% employer paid long-term, short-term disability, and life insurance policy
  • 401k Match, if you’re contributing 5% we match 4%. 100% vested immediately.
  • 10 paid holidays
  • Starting at 15 days paid PTO (inclusive of sick and vacation time) annually
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)

EEOC Statement:

OptiTrack is an equal opportunity employer, we believe in fostering a culture of equality, diversity, and inclusivity. Our commitment to this goal is clearly expressed in our zero-tolerance policy for discrimination and harassment of any kind, including on the basis of race, color, sex, age, religion, sexual orientation, national origin, disability, genetic information, pregnancy, protected veteran status or any other characteristic protected by applicable federal, state, or local laws. Our hiring practices ensure that decisions are based solely on qualifications, merit, and current business needs, while extending to all aspects of our operations - from recruitment and promotion to layoff and recall, to leave of absence, compensation, benefits, and training.  We are committed to remaining a drug free workplace

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