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Machine Learning Researcher Jobs in Georgia (NOW HIRING)

Research, design and prototype novel models based on machine learning, data mining, and statistical modeling in order to solve problems in healthcare industry where the problems may range from ...

Research, design and prototype novel models based on machine learning, data mining, and statistical modeling in order to solve problems in healthcare industry where the problems may range from ...

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Showing results 21-40

Machine Learning Researcher information

See Georgia salary details

$25.3K

$95.5K

$138.9K

How much do machine learning researcher jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning researcher in Georgia is $95,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $130,000.00 per year, depending on experience, location, and employer.

What does a machine learning researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.

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

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What are some common challenges machine learning researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What are the most commonly searched types of Machine Learning Researcher jobs in Georgia?

The most popular types of Machine Learning Researcher jobs in Georgia are:

Infographic showing various Machine Learning Researcher job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $95,501 per year, or $45.9 per hour.

Machine Learning Scientist

Alpharetta, GA โ€ข On-site

Saince, Inc.
Health Care and Social Assistanceย โ€ขย 51 - 200 employees

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 days ago


Key responsibilities

  • Research, design, and prototype novel machine learning models to solve healthcare industry problems.

  • Collaborate with university partners and multidisciplinary teams to develop and implement data-driven solutions.

  • Work with business teams to develop and help commercialize robust predictive analytics models.


Job description

Company Description

Saince (pronounced Science) is a leading clinical documentation solutions and services provider that has been identified as one of the fastest growing companies in the country. Our growth is a reflection of our commitment to our customers by providing them with state-of-the-art clinical documentation technologies and services that increase productivity, reduce costs and provide actionable insights.

Job Description

Saince is a two-decades old, USA based health information technology solutions and services provider. Hundreds of hospitals and thousands of physicians across US rely on Saince's solutions for improving their workflow efficiencies and increase revenues. With deep clinical and technical knowledge, Saince offers innovative solutions for improving patient outcomes by empowering doctors with tools for better decision making. Saince has been recognized as one of the fastest growing companies in North America for several years.

Saince HealthTech is the Indian subsidiary of Saince, Inc. Located in Hyderabad, Saince HealthTech is the development arm of Saince and provides solutions development, support and maintenance services. Saince HeathTech is reputed for attracting the best and the brightest talent in the industry and provide them with unmatched opportunities for growth and excellence.

Saince HealthTech is currently planning to fill the following positions with highly skilled and talented individuals. Candidates who are extremely self-motivated and enjoy working under little or no supervision and in an environment that thrives on solving challenges will find these opportunities exciting.

At Saince we celebrate diversity among our workforce. We believe diversity benefits our company, our employees and the society at large. Saince is proud to be an equal opportunity workplace and all hiring decisions are made purely on the basis of merit, qualification, prior experience and business needs.

Job Description:

  • Research, design and prototype novel models based on machine learning, data mining, and statistical modeling in order to solve problems in healthcare industry where the problems may range from exploratory to highly applied
  • Keep abreast of the latest developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand
  • Collaborate with university partners and other scientists and engineers in a multidisciplinary work environment
  • Work with business teams to develop and help commercialize robust models
Qualifications

Required Skills:

  • 2+ years of experience with developing scalable algorithms that apply machine learning, artificial intelligence, and deep learning techniques
  • 7+ years of total experience with predictive analytics, operations research, and software development
  • Experience with using one or more of the following frameworks or tools: Python, R, or SAS
  • Experience with data mining techniques for large-scale datasets, including both structured and unstructured data
  • Experience with data and analytics solution delivery that address strategic business problems
  • Experience as an effective communicator with clients and software teams in translating client needs into solutions
  • Ability to be a self-starter with initiative and present complex information to non-technical audiences
  • Prior experience with medical imaging standards and technologies is a strong plus
Additional Information

Saince realizes that people are its assets and we are constantly benchmarking our HR Benefits with the best in the industry. We ensure that we at least on par if not better than what is available elsewhere.

Our Benefits package includes an attractive performance based bonus, medical, dental and vision insurance, vacation pay, books and periodicals reimbursement, certification test fee reimbursement, etc among many others.