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Research Machine Learning Federated Learning Jobs in Conway, SC

This role would offer hands-on experience in product strategy, market research, and cross ... We value diverse backgrounds and experiences and invest in your growth through hands-on learning ...

Tax Associate

Conway, SC · On-site

$54K - $72K/yr

Gain technical knowledge by researching and learning tax laws as required. * Analyze client information and offer recommendations for reducing client tax liabilities. * Communicate effectively with ...

Material Handler I - FT - Georgetown SC

SC · On-site

$15.50 - $18.75/hr

Embraces an expectation of learning and growth. Enthusiastically participates in training and ... Operates baler machine to prepare specified material for distribution. * Maintains accurate record ...

Conduct keyword research, optimize website content, and assist with SEO strategies. * Create and ... learning, we encourage you to apply! All candidates must be Florida residents.

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Research Machine Learning Federated Learning information

See Conway, SC salary details

$21.8K

$36.3K

$75.1K

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

As of Jul 20, 2026, the average yearly pay for research machine learning federated learning in Conway, SC is $36,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,700.00 and $39,200.00 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, and why are they important?

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 Conway, SC look for? The top searched job categories for Research Machine Learning Federated Learning jobs in Conway, SC are:
What cities near Conway, SC are hiring for Research Machine Learning Federated Learning jobs? Cities near Conway, SC with the most Research Machine Learning Federated Learning job openings:
Field Service Advisor

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Blanchard Machinery rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

33rd of 149 rated vehicle equipment hire


Job description

Overview
The Field Service Advisor is responsible for educating customers on the full range of services and benefits offered by the dealership, driving incremental revenue while delivering exceptional customer service. This role provides proactive communication and regular status updates to customers throughout the entire service process.
Blanchard Machinery Company is committed to fostering a high-performance work culture with challenging work opportunities that inspire high quality results. Some of the benefits of joining our team are:
  • Competitive Pay.
  • Benefits: Medical, dental, vision, 401K, profit sharing, generous PTO and paid holidays, uniforms, and much more.
  • Exposure to world-class CAT training and development.
  • A friendly and supportive work environment.
  • Continuous exposure to learning and new technologies
  • Opportunities for advancement

Responsibilities
  • Contributes to a positive work environment and promotes the vision, mission, and values of BMC.
  • Completes all job responsibilities in a safe manner, promotes and champions a safe and healthy work environment.
  • Serve as the primary point of contact and intake for all retail customer service opportunities.
  • Engage customers in a friendly, knowledgeable, and professional manner while providing accurate, timely communication to set proper service expectations and ensure follow-up on commitments.
  • Respond to high volumes of customer calls, prioritize service requests, and schedule field service work to support customers and internal teams.
  • Coordinate seamless transitions of Heavy Field Service processes to customers and internal departments.
  • Support the Field Service Supervisor in job closing activities as needed.
  • Maintain proper records and documentation for trucks and drivers in accordance with company policies and regulations, in collaboration with the Field Service Supervisor.
  • Demonstrates strong commitment to exceptional customer service.
  • Champions coordination of customer needs.
  • Create service tickets and update ServiceLink and Modern systems accurately and promptly to ensure that all stakeholders remain informed and synchronized.
  • Ensure tickets/work to be performed and all customer interactions are accurately and promptly document and visible to the Service team.
  • Identify customer needs by actively listening and asking questions to capture additional service revenue opportunities and recommend relevant services to increase machine uptime and extend the life of the machine.
  • Apply equipment knowledge and understanding of customer applications to recommend value-added attachments and other equipment options.
  • Research service history on customer accounts, identify parts and pricing for work orders, and prepare the framework for quotes for Shop Supervisor review and work completion.
  • Proactively contact the customer to provide updates on service progress, CAT Inspect findings, troubleshooting findings, and discuss the impacts/changes to quotes and completion timelines.
  • Determine the optimal communication method (phone, text, email) for customers and set appropriate contact frequency the Modern app.
  • Set expectations for final invoice amounts and send invoices to customers for review prior to equipment/machine pick-up.
  • Manages the full payment process, including collecting, verifying, and recording customer payments.
  • Resolve customer complaints and concerns to ensure satisfaction and drive retention.
  • Participate in the after-hours on-call rotation schedule.
  • Assist other branches when needed and schedule work generated through service letters.
  • Performs other duties as assigned.

Qualifications
Qualifications
  • High School Diploma or equivalent required. AS or Technical degree in related field preferred.
  • Experience in the diesel or construction equipment field preferred.
  • 2+ years of logistics and scheduling experience preferred.
  • Ability to work with all levels of employees, management, and customers in a positive, professional, and effective way.
  • Ability to adapt to changing priorities; meets deadlines and works well under pressure.
  • Must possess a customer centric mindset along with the ability to build strong relationships.
  • Excellent interpersonal, written, and oral communication skills.
  • Strong work ethic and self-starter. Able to effectively manage multiple tasks/priorities and adapt to change.
  • Must possess a professional and friendly attitude and be able to quickly develop a rapport with customers over the phone and in person.
  • Ability to learn and navigate new software quickly.
  • Personal commitment to continuous improvement and service excellence.
  • Ability to work independently with limited supervision.

Working Conditions
  • The physical environment requires the employee to work outside in a non-climate-controlled environment throughout the year.
  • Required to use personal protective equipment to prevent exposure to injury and/or hazardous materials.
  • Position requires employees to be physically present at designated worksite location.
  • Requires standing, stooping, squatting, pushing, pulling, twisting, turning, lifting.
  • Seeing, reading, and writing to complete job responsibilities.
  • Use of computers and other forms of technology to complete job responsibilities.

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