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Research Machine Learning Federated Learning Jobs in Columbus, OH

Modeling Understanding how to frame business problems as data science problems Navigating the full data science lifecycle: research and exploration, development, deployment, support Using correct ...

Machine Learning Intern

Columbus, OH · On-site

$27 - $42/hr

Modeling Understanding how to frame business problems as data science problems Navigating the full data science lifecycle: research and exploration, development, deployment, support Using correct ...

Machine Learning Engineer II

Columbus, OH · On-site

$115 - $150/hr

Research, design, develop, and maintain state-of-the-art machine learning models optimized for accuracy, latency, and throughput.* Train, evaluate, and fine-tune models using best practices in model ...

Machine Learning Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Research, design, develop, and maintain state-of-the-art machine learning models optimized for accuracy, latency, and throughput. * Train, evaluate, and fine-tune models using best practices in model ...

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Research, design, develop, and maintain state-of-the-art machine learning models optimized for accuracy, latency, and throughput. * Train, evaluate, and fine-tune models using best practices in model ...

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Research, experiment with, and implement suitable Generative and ML algorithms, tools and ...

Sr. Machine Learning Engineer

Columbus, OH

$100K - $138K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... research into reliable, low-latency, multi-channel experiences that scale across our entire ...

Sr. Machine Learning Engineer

Columbus, OH

$100K - $138K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... research into reliable, low-latency, multi-channel experiences that scale across our entire ...

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Showing results 1-20

Research Machine Learning Federated Learning information

See Columbus, OH salary details

$24.6K

$41.1K

$85K

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

As of Aug 26, 2026, the average yearly pay for research machine learning federated learning in Columbus, OH is $41,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 per year, depending on experience, location, and employer.

What is a researcher in machine learning federated learning?

A Researcher in Machine Learning Federated Learning is a professional who investigates and develops methods to train machine learning models across multiple decentralized devices or servers, while keeping data localized and private. Their work focuses on improving algorithms, ensuring data privacy, and addressing challenges related to distributed learning, communication efficiency, and model accuracy. They often collaborate with other researchers, publish findings, and contribute to advancing technologies that make it possible to use sensitive data for AI without compromising privacy.

What are the key skills and qualifications needed to thrive as a researcher in machine learning federated learning?

To thrive as a Researcher in Machine Learning Federated Learning, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant advanced degree (e.g., PhD or MSc). Familiarity with Python, TensorFlow, PyTorch, and distributed computing frameworks, as well as knowledge of privacy-preserving techniques and relevant research publications, is essential. Excellent analytical thinking, problem-solving abilities, and clear scientific communication are key soft skills for success in collaborative research environments. These competencies are vital to drive innovation, rigorously evaluate federated learning approaches, and advance privacy-preserving AI technologies.

What are some common challenges faced when implementing federated learning in a research environment?

One of the primary challenges in research-focused federated learning roles is ensuring data privacy and security while maintaining model performance across distributed devices. Researchers must also address issues such as handling heterogeneous data sources, communication bottlenecks between nodes, and the complexity of debugging decentralized systems. Collaborating with cross-functional teams—such as data engineers, privacy experts, and domain specialists—is vital to overcome these hurdles and drive successful outcomes. Staying updated with the latest advancements and actively contributing to open-source initiatives can also help researchers address these evolving challenges.

What is the difference between Research Machine Learning Federated Learning vs Data Scientist?

AspectResearch Machine Learning Federated LearningData Scientist
CredentialsAdvanced degrees in CS, ML, or related fields; research experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, tech companies focusing on privacy-preserving MLBusiness environments, analytics teams, data-driven departments
Industry UsageDeveloping federated algorithms, privacy-preserving ML modelsData analysis, modeling, reporting, and insights generation

Research Machine Learning Federated Learning specialists focus on developing privacy-preserving algorithms across distributed data sources, often in research or R&D settings. Data Scientists analyze and interpret data to inform business decisions. While both roles require strong ML knowledge, federated learning roles emphasize distributed systems and privacy, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Research Machine Learning Federated Learning jobs in Columbus, OH?

For Research Machine Learning Federated Learning jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Research Machine Learning Federated Learning jobs in Columbus, OH look for?

The top searched job categories for Research Machine Learning Federated Learning jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Research Machine Learning Federated Learning jobs?

Cities near Columbus, OH with the most Research Machine Learning Federated Learning job openings:

Infographic showing various Research Machine Learning Federated Learning job openings in Columbus, OH as of June 2026, with employment types broken down into 4% As Needed, 63% Full Time, 25% Part Time, 4% Contract, and 4% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $41,131 per year, or $19.8 per hour.

Machine Learning Intern

Crowe LLP

Columbus, OH

$27 - $42/hr

Full-time

Posted 11 days ago


Job description

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

Role Summary
The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the internship, functional and demonstrable progress has been made in a way that can be integrated into the functional portfolio of the team.
Important: the data science internship does not necessarily transition to a full-time role at the end of the period. Depending on team need, firm budget, and fit, interns should not expect their time to conclude with an offer.
Here are some example projects that may be prioritized for an internship:
Anomaly detection using deep neural networks
Numerical optimization applied to problems in manufacturing
Personal identifiable information (PII) and personal health information (PHI) detection in natural language
Areas of Focus
The data science internship is intended to expose the intern to what it means to do data science on a team in an enterprise setting. To that end, there are three major components with which an intern should expect to engage.
Modeling
Understanding how to frame business problems as data science problems
Navigating the full data science lifecycle: research and exploration, development, deployment, support
Using correct model selection and training procedures to prevent common modeling errors
Creating reasonable test scenarios and diagnostic measures
Software Development
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Participating in code reviews
Business Value and Processes
Contributing to team development processes and agile/scrum rituals
Helping to clarify and prioritize work, define success criteria, and own work item completion
Applying all relevant change management controls for risk and compliance policies
Presenting work clearly to technical and non-technical audiences
Relevant majors and areas of expertise
Data Science
Computer Science
Mathematics
Natural or Social Sciences
Relevant additional backgrounds also considered
Essential Job Functions:

Anomaly detection using deep neural networks
Numerical optimization applied to problems in manufacturing
Personal identifiable information (PII) and personal health information (PHI) detection in natural language
Understanding how to frame business problems as data science problems
Navigating the full data science lifecycle: research and exploration, development, deployment, support
Using correct model selection and training procedures to prevent common modeling errors
Creating reasonable test scenarios and diagnostic measures
Writing high quality Python (readable, reusable, modular, and well-abstracted code)
Using Linux, the terminal, and other core development tools
Understanding source control (git), containerization (docker) and deployment technologies (cicd/k8s)
Participating in code reviews
Contributing to team development processes and agile/scrum rituals
Helping to clarify and prioritize work, define success criteria, and own work item completion
Applying all relevant change management controls for risk and compliance policies
Presenting work clearly to technical and non-technical audiences

We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

Crowe accepts applications for this role on an ongoing basis.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $27.00 - $42.00 per hour.

Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!
How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
More about Crowe:
Crowe provides professional services through two separate entities: Crowe LLP delivers audit and attest services, and Crowe Advisory LLC provides tax, advisory, consulting, and other nonattest services.


The Crowe Global network consists of more than 300 independent accounting and advisory services firms in more than 150 countries around the globe, making it one of the largest accounting networks in the world*. As independent members of Crowe Global, Crowe LLP and Crowe Advisory LLC serve clients worldwide. (*As of July 2026)
Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.


Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.


Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.

Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role's responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.

If you are interested in applying for employment with Crowe and are in need of an accommodation or require special assistance to navigate our website or to complete your application, please visit our Applicant Assistance and Accommodations page for more information: https://careers.crowe.com/crowe-applicant-assistance-and-accommodation


Crowe logo

About Crowe

Sourced by ZipRecruiter

Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Industry

Accounting services

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US

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