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Research Machine Learning Federated Learning Jobs in Tennessee

Revecore

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

Use yourexpertisein machine learning, exploratory data analysis, and software engineering to ... Research, implement, and launch new model architectures that drive business impact. Partner and ...

Instacart

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Instacart

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Research Machine Learning Federated Learning information

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 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 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 Tennessee? For Research Machine Learning Federated Learning jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Research Machine Learning Federated Learning jobs in Tennessee look for? The top searched job categories for Research Machine Learning Federated Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Research Machine Learning Federated Learning jobs? Cities in Tennessee with the most Research Machine Learning Federated Learning job openings:
Research Machine Learning Federated Learning jobs near you

Senior Machine Learning Engineer

Revecore

Franklin, TN • Remote

$118K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Revecore rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

Job description

Start your next chapter atRevecore! For over 25 years,we'vebeen at the forefront of specialized claims management, helping healthcare providers serve more patients by helping them recover more revenue.We'repowered by people, driven by technology, and dedicated to our clients and employees. Ifyou'relooking for a collaborative and diverse culture witha great work/life balance, look no further.

RevecorePerks:

  • We offer paid training and incentive plans
  • Our medical, dental, vision, and life insurance benefits are available from the first day of employment
  • We enjoy excellent work/life balance
  • Our Employee Resource Groups build community and foster a culture of belonging and inclusion
  • We match 401(k) contributions
  • We offer career growth opportunities
  • We celebrate 12 paid holidays and generous paid time off

Location:Remote - USA

As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will:

Use yourexpertisein machine learning, exploratory data analysis, and software engineering to enhance the productivity and efficiency of our underpayment business. You will work on projects with purpose, such as prioritizing claims based on expected recovery dollars and improving our claim-remit matching process.

This is a modeling team that owns the model deployment process. Youwon'tbe creating dashboards or pivot tables. Youwon'tjust build POCs. Our team increases revenue and decreases costs: you will deploy your work and see the results as we increase our clienthospitals'revenue.

The Role:

Own end-to-end development, training, deployment, evaluation, and improvement of machine learning systems to rank claim opportunities.

Analyze and explore data toidentifyactionable opportunities from internal and 3rd party data.

Research, implement, and launch new model architectures that drive business impact.

Partner and collaborate with cross-functional teams of software engineers, data engineers, subject matter experts, product managers, and analysts to design and build practical solutions.

Implement cloudMLOpsand AIOps best practices to streamline the development, deployment, and maintenance of machine learning models.

Continuously measure the impact of the AI-enabled workflows on key business metrics and use these measurements to improve the machine learning models and workflows.

Learn from and teach your teammates. You will be theteam'sexpert in your specialization, and you will learn from experts in theirs.

Own a workstream.You'llbe the technical lead for the workstream, partnering with others to deliver.You'llalso work on other projects, but this workstream will be one of your key successes.

You'llbe successful if you have:

An urge to question assumptions, and to get it right (or at least good enough) even if your first idea is wrong.

A commitment to collaborate, rather than go off in a corner only to appear when you need tosubmita pull request.

A bachelor's degree in any data-centric field. Scientific thinking isa must.

Experience working in a similar role, with a focus on machine learning or data science.

Experience developing and deploying machine learning models in a production environment.

Strong experience with Python, including scikit-learn. TensorFlow orPyTorchis a plus.

Ability to wrangle data, perform exploratory data analysis, and draw insights from visualizations.

It would also be great if you have:

Intuitionaboutdata developed by doing statistics and/or research.

Applied experience with contemporary natural language processing (NLP) techniques and tools (e.g., entity extraction, transformers, HuggingFace).

Experience with Spark.

Experience with operating ML pipelinesina cloud platform (e.g., AWS, GCP, Azure).

A master's degree, Ph.D., or other experiencedemonstratingscientific thinking.

As part of our team,you'llbe rewarded with:

Comprehensive medical, dental, vision, and life insurance benefits from the start of your employment.

12 paid holidays and flexible paid time off.401(k) contributions.

Employee Resource Groups that build community.

Career growth opportunities.

An excellent work/life balance.

Work at Home Requirements:

A quiet, distraction-free environment to workfrom inyour home.

A secure home internet connection with speeds >20 Mbps for downloads and >10 Mbps for uploads isrequired.

The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.

Revecoreis an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.

Revecoreis an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. Wewelcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.

Mustresidein the United Stateswithin one of the following states:

Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, or West Virginia.

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