ZipRecruiter

Log In

1

Research Machine Learning Federated Learning Jobs in Missouri

Jobtailor

Machine Learning Engineer

California, MO · On-site

$130 - $190/hr

PhD in STEM +0 years of relevant experience or equivalent related work experience * 5+ years of experience in data engineering, machine learning engineering, or related roles * Data Pipeline ...

Jobtailor

Machine Learning Scientist II

California, MO · On-site

$120 - $180/hr

Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to ... Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep ...

Varsity Tutors

Machine Learning Tutor

Kansas City, MO · 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 ...

Varsity Tutors

Machine Learning Tutor

Saint Louis, MO · 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 ...

Varsity Tutors

Machine Learning Tutor

Columbia, MO · 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 ...

Wipro Limited

Machine Learning Specialist

Saint Louis, MO · On-site

$80K - $158K/yr

Machine Learning Specialist City: St Louis State/Province: Missouri Posting Start Date: 8/18/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

Jobtailor

Machine Learning Engineer II

California, MO · On-site

$120 - $180/hr

Experience using machine learning frameworks * Solid software engineering fundamentals * Proven ability to own and deliver ML components or services within cross-functional teams * Familiarity with ...

iHerb

Principal Machine Learning Engineer

California, MO · On-site

$205 - $230/hr

Job Summary The Machine Learning Engineer will tackle challenging problems and create scalable ... Research and prototype new technologies to support rapid business growth. * Interact cross ...

Walmart

Staff, Machine Learning Engineer

Anderson, MO · On-site

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... Innovation and Research: Stay at the forefront of technological advancements, conducting research ...

Walmart

Staff, Machine Learning Engineer

Noel, MO · On-site

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... Innovation and Research: Stay at the forefront of technological advancements, conducting research ...

next page

Showing results 1-20

All JobsResearch Machine Learning Federated Learning JobsResearch Machine Learning Federated Learning Jobs in Missouri

Research Machine Learning Federated Learning information

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 Missouri?

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

What job categories do people searching Research Machine Learning Federated Learning jobs in Missouri look for?

The top searched job categories for Research Machine Learning Federated Learning jobs in Missouri are:

Research Machine Learning Federated Learning jobs near you

Machine Learning Engineer, Generative ML

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

$180 - $240/hr

Other

Posted 23 days ago

Job description

Responsibilities
  • Develop innovative machine learning technology and products that serve millions of Snapchatters
  • Work on state of the art GenAI pipelines for image, video, and audio generation
  • Deliver generative machine learning experiences on device
  • Build cutting-edge augmented reality experiences using generative and diffusion models
  • Partner with cross-functional Snap teams to explore and prototype new products
Requirements
  • Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
  • 5+ years of post-Bachelor’s machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
  • Research or engineering experience in one or more of the following: generative models, efficient models, segmentation, object detection, classification, tracking, or other related applications of machine learning
  • Strong software development skills in Python or C++
  • Proficiency working with major deep learning frameworks: PyTorch or TensorFlow
  • Knowledge of mathematics and deep learning foundations
  • Desire to solve open ambiguous problems
  • Desire to grow professionally, learn and help others
  • Ability to effectively collaborate with internal teams and external partners
  • Ability to work independently
#J-18808-Ljbffr

Apply