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Research Machine Learning Federated Learning Jobs in Jackson, MS

Vergent LMS

Software Support Analyst

Ridgeland, MS

... AI and machine learning capabilities. With talented employees nationwide and offices in Ridgeland, Mississippi and Plano, Texas, Vergent LMS is one of America's fastest-growing privately held ...

Cornerstone Research

Analyst

Jackson, MS · On-site

$112K/yr

What does case work at Cornerstone Research look like? Collaboration is central to our work. Our ... Additionally, we host continuous learning and development programs through which you will learn ...

FMOLHS

Nurse Practitioner - Clinic

Madison, MS · On-site

Patient assessment and teaching and learning needs are accurately documented, detailed nursing ... Participation in clinical research is provided and current nursing research literature is reviewed ...

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All JobsResearch Machine Learning Federated Learning JobsResearch Machine Learning Federated Learning Jobs in Jackson, MS

Research Machine Learning Federated Learning information

See Jackson, MS salary details

$22.2K

$37.1K

$76.7K

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

As of Aug 11, 2026, the average yearly pay for research machine learning federated learning in Jackson, MS is $37,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,300.00 and $40,100.00 per year, depending on experience, location, and employer.

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 job categories do people searching Research Machine Learning Federated Learning jobs in Jackson, MS look for? The top searched job categories for Research Machine Learning Federated Learning jobs in Jackson, MS are:
What cities near Jackson, MS are hiring for Research Machine Learning Federated Learning jobs? Cities near Jackson, MS with the most Research Machine Learning Federated Learning job openings:
Research Machine Learning Federated Learning jobs near you
Infographic showing various Research Machine Learning Federated Learning job openings in Jackson, MS as of June 2026, with employment types broken down into 25% As Needed, 50% Part Time, and 25% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,108 per year, or $17.8 per hour.

Software Support Analyst

Vergent LMS

Ridgeland, MS

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago

Job description

Company Description

Vergent LMS engineers a market-leading SaaS lending platform that empowers lenders to manage their retail and online lending operations through a sophisticated software suite featuring data-rich dashboards and enhanced analytical reporting, powered by its AI and machine learning capabilities. With talented employees nationwide and offices in Ridgeland, Mississippi and Plano, Texas, Vergent LMS is one of America’s fastest-growing privately held companies and has been listed on the Inc. 5000 list for seven years. From small business startups to enterprise-scale corporations, Vergent's innovative technology solutions power the lending operations of a diverse portfolio of clients located in the US, Canada, and Central America.

At Vergent LMS, we take our work seriously, but we don't take ourselves very seriously, with employee recognition, frequent company-supported events, and a company culture that is second to none. If you're passionate about what you do, but you want to be a part of a company that values it's employees and has built a culture around the concept of "work-life balance," then Vergent LMS is your career destination.

Introduction

As an Application Support Analyst, you will join a dedicated team of customer support professionals responsible for the initial review, troubleshooting and testing of all client support requests. This role requires the ability to provide critical, real-time analysis and problem-solving solutions to our software clients by asking applicable questions and retracing the steps and processes utilized by the customer to identify the potential cause of their reported problem. Once the problem is determined, the analyst may decide if collaboration with other quality assurance and software development teams is necessary to provide the optimal solution. Your responsibilities will include developing an intimate knowledge of the features, functionality, and security of our industry-leading loan management software in addition to maintaining an ongoing awareness of over 60+ external connections to vendor partner software products which expand our software's capabilities.

Essential Functions

  • Take ownership of incoming issues/requests from customers with a sense of urgency.
  • Must be capable of troubleshooting the cause of a reported problem by walking through the client's steps leading up to the problem, reproducing the reported problem within Vergent's software test environment, and finally, documenting (in detail) the steps taken, including the course of action taken to resolve the problem.
  • Must possess strong communication and critical thinking skills and be able to ask the correct questions necessary for testing a reported problem and providing a potential solution.
  • Must be willing and able to stay abreast of new company software and updates.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.

Competencies

  • Ability to take initiative related to the software and its updates
  • Document configuration and editing experience
  • Proficiency in Adobe Acrobat
  • Strong time management skills
  • Intensive customer Focus
  • Problem Solving and Analysis
  • Product Knowledge
  • Quality Focus
  • Collaborative team building
  • Active Listening
  • Multi-tasking
  • Must be punctual and able to work the established hours
  • 2 or more years of experience as a software support analyst

Work Environment

This job operates in a casual office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

Company Benefits

  • Employee Recognition Program
  • Flexible Schedules
  • Casual Dress Code
  • Health Insurance
  • Dental/Vision
  • Parental Leave
  • 401K & 401K Matching
  • Long-Term Disability (100% covered)
  • Life Insurance (100% covered)
  • Supplemental Insurance
  • Coffee and Snacks Provided

Apply