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New Grad Machine Learning Jobs in Bloomington, IN

Varsity Tutors

Statics Tutor

Bloomington, IN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Bloomington, IN

New Grad Machine Learning information

See Bloomington, IN salary details

$23.6K

$39.4K

$81.4K

How much do new grad machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for new grad machine learning in Bloomington, IN is $39,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 per year, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Bloomington, IN?

For New Grad Machine Learning jobs in Bloomington, IN, the most frequently searched job titles are:

What job categories do people searching New Grad Machine Learning jobs in Bloomington, IN look for?

The top searched job categories for New Grad Machine Learning jobs in Bloomington, IN are:

New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Bloomington, IN as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,390 per year, or $18.9 per hour.

Tenure-Track Assistant/Associate Professor of Digital Art

Indiana University Academic Positions

Bloomington, IN • On-site

Full-time

Posted 16 days ago

Job description

Position Details
Title Tenure-Track Assistant/Associate Professor of Digital Art Appointment Status Tenure Track Department IU Bloomington Eskenazi School of Art, Architecture + Design Location Bloomington Position Summary
The Eskenazi School of Art, Architecture + Design at Indiana University Bloomington invites applications for a full-time, tenure-track position with the rank of Assistant or Associate Professor in Digital Art, to begin August 1, 2027.
The Digital Art area is seeking an innovative artist, scholar, and educator who integrates advanced technical expertise with creative innovation to foster and support new ideas and forms of exploration. The responsibilities of the position align with expectations for tenure and include maintaining a robust record of scholarly and creative achievement, teaching digital art at the undergraduate and graduate levels, and mentoring undergraduate and graduate students. Service and administrative responsibilities include committee participation, support and coordination of graduate assistants and area faculty, and contribution to the leadership of the Digital Art area.
The candidate should demonstrate strong potential for scholarly and creative achievement and the ability to develop a program of research and creative practice recognized nationally and internationally. The candidate should demonstrate expertise in one or more areas of digital art, including, but not limited to, creative coding; computational, algorithmic and generative art; artifi cial intelligence and machine learning; human-computer interaction; interactive media; game art and animation; virtual, mixed, and augmented reality; computational storytelling; fi lm, video, and audiovisual media; data visualization; digital fabrication; physical computing; wearable technologies; creative technologies, and related emerging practices. Because digital art is a rapidly evolving discipline, the candidate should also demonstrate the capacity to engage critically and creatively with emerging technologies, evolving forms of expression, and changing modes of human experience.
Preference will be given to candidates who demonstrate disciplinary excellence, effective teaching experience, and meaningful contributions to the fi eld. We seek a collaborative colleague who can provide leadership, take initiative, and work effectively in a team-based environment. Strong candidates will also demonstrate the ability to build productive relationships with students, faculty, administrators, and community partners. Successful candidates will teach four courses (2/2 load) during a 10-month academic year.
Indiana University Bloomington, Eskenazi School of Art, Architecture + Design
Founded in 1820, Indiana University Bloomington is the fl agship campus of IU's eight campuses statewide. Innovation, creativity, and academic freedom are hallmarks of our world-class contributions in research and the arts.
The Eskenazi School actively creates a culture focused on how we work together, learn from each other, and acknowledge our shared accomplishments and sorrows. We validate the voice and potential of every member of our community, strive to create a culture where difference is valued, and celebrate multiple perspectives within and beyond the School. We believe social and cultural consciousness inspires meaningful dialogue and empowers all to become infl uential and fulfi lled citizens of the world.
Basic Qualifications
1. Qualifi ed candidates must hold a terminal degree (Ph.D., MFA, or equivalent) in digital art or a closely related fi eld by the start date of employment.
2. Candidates are expected to have at least two years of college-level teaching experience, with preference for those with experience beyond graduate-level teaching assistantships.
3. Preference will be given to candidates with a strong record of scholarly and creative achievement, including, but not limited to, juried exhibitions, funded projects, performances, scholarly publications, and other signifi cant research and creative outcomes.
Department Contact for Questions
For questions, contact Kim Jones, Eskenazi School of Art, Architecture + Design at
Indiana University, Mies van der Rohe Building: 321 N. Eagleson Ave. Bloomington, IN 47405 Phone: 812-855-2319. Email: soadhr@iu.edu
Additional Qualifications Salary and Rank 65,000 - 80,000 FT3/FT2 Special Instructions
Review of applications will begin on Oct 15, 2026, and will continue until the position is filled.

Applicants must submit:
1. Cover letter of application
2. Curriculum Vitae
3. Research Statement
4. One PDF containing 20 images of creative research and relevant image list;
5. Teaching Philosophy
6. One PDF containing 20 images of student work and relevant image list;
7. Contact information for three references (no letters). Include a current address,
phone number and e-mail address
Interested candidates should review the application requirements and submit their application materials as PDFs.
Special Instructions:
Interested candidates should review the application requirements and submit applications to
https://indiana.peopleadmin.com/postings/33957
Indiana University is an equal opportunity employer and a provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information.

For Best Consideration Date 10/15/2026 Expected Start Date Posting Number IU-101622-2026

Apply