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Machine Learning Research Scientist Jobs in Indiana

Indiana University

Research Scientist

Bloomington, IN · On-site

$70K - $75K/yr

Posting Details Position Details Title Research Scientist Appointment Status Non-Tenure Track ... machine learning and graph theoretics, one can discover multiple developmental pathways in cross ...

Amgen

$85K - $116K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world ... Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team ...

Rolls-Royce

Machine Learning Engineer

Indianapolis, IN · Hybrid

In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science ... research, production support, and predictive maintenance. Document your work clearly and present ...

Varsity Tutors

Machine Learning Tutor

Bloomington, IN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Valparaiso, IN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsMachine Learning Research Scientist JobsMachine Learning Research Scientist Jobs in Indiana

Machine Learning Research Scientist information

See Indiana salary details

$48.1K

$123.8K

$165.6K

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

As of Jul 14, 2026, the average yearly pay for machine learning research scientist in Indiana is $123,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $164,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Research Scientist position, and why are they important?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are the typical projects and daily responsibilities for a Machine Learning Research Scientist?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What is a Machine Learning Research Scientist job?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What are the most commonly searched types of Machine Learning Research Scientist jobs in Indiana? The most popular types of Machine Learning Research Scientist jobs in Indiana are:
What are popular job titles related to Machine Learning Research Scientist jobs in Indiana? For Machine Learning Research Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Scientist jobs in Indiana look for? The top searched job categories for Machine Learning Research Scientist jobs in Indiana are:
Machine Learning Research Scientist jobs near you
Infographic showing various Machine Learning Research Scientist job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $123,814 per year, or $59.5 per hour.
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

South Bend, IN • On-site

Other

Posted 22 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply