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Machine Learning Scientist Jobs (NOW HIRING)

Company Description Saince (pronounced Science) is a leading clinical documentation solutions and ... Research, design and prototype novel models based on machine learning, data mining, and statistical ...

Company Description Saince (pronounced Science) is a leading clinical documentation solutions and ... Research, design and prototype novel models based on machine learning, data mining, and statistical ...

... scientist ratio of >100x. Check out our Suno version of the job here! What You'll Need * 5+ years ... machine learning models * Track record showing independent ownership of entire research projects ...

The Role We're looking for a Machine Learning Scientist to push the limits of small, high-performance language models. This is a deeply technical role focused on advancing the capabilities of our ...

About the Team This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product ...

Summary of Position The Machine Learning effort is part of the Data Science team at Teladoc Health. In this role, you will partner with Product, Engineering, Clinical,Operations, Marketing and Data ...

Senior Machine Learning Scientist

Boulder, CO · On-site +1

$96K - $131K/yr

The Role We are seeking a Senior Machine Learning Scientist, Climate and Hydrology to lead the scientific direction and machine learning development for hydrology-aware climate modeling within our ...

Senior Machine Learning Scientist

Boulder, CO · On-site +1

$96K - $131K/yr

The Role We are seeking a Senior Machine Learning Scientist, Climate and Hydrology to lead the scientific direction and machine learning development for hydrology-aware climate modeling within our ...

Showing results 21-40

Machine Learning Scientist information

What is a machine learning scientist?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What does a machine learning scientist do?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What skills and qualifications are needed to be a machine learning scientist?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

Is machine learning a high paying job?

Machine Learning Scientists typically earn high salaries due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python and TensorFlow. Salaries vary by industry, experience, and location but are generally above average compared to many other tech roles.
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Infographic showing various Machine Learning Scientist job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

Machine Learning Scientist

Saince, Inc.

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 27 days ago


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.