ZipRecruiter

Log In

2

Entry Level Machine Learning Jobs in South Bend, IN

MORryde

Entry Level Maintenance Technician

Elkhart, IN · On-site

... machines, and welding equipment including both manual and robotic. MORryde provides an opportunity ... At MORryde we want to provide our team with a learning environment both in and outside of work.

Rural King

Recovery Associate

Niles, MI · On-site

Whether you are starting an entry-level position or joining with professional experience, Rural ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Norsk Hydro

Production Operator

Cassopolis, MI · On-site

$25.58/hr

This is an entry-level position , and on-the-job training is provided to help you learn and succeed ... Basic mechanical aptitude or interest in learning how industrial equipment works (no prior ...

Norsk Hydro

Production Operator

Cassopolis, MI

$25.58/hr

This is an entry-level position , and on-the-job training is provided to help you learn and succeed ... Basic mechanical aptitude or interest in learning how industrial equipment works (no prior ...

Fresenius Medical Care

Registered Nurse - RN

Niles, MI · On-site

The registered professional nurse Home Therapies RN CAP 1 is an entry level designation into the ... Assesses, collaborates and documents patient/family's basic learning needs to provide initial and ...

All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in South Bend, IN

Entry Level Machine Learning information

See South Bend, IN salary details

$12

$17

$21

How much do entry level machine learning jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for entry level machine learning in South Bend, IN is $17.12, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $18.61 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in South Bend, IN? The most popular types of Machine Learning jobs in South Bend, IN are:
What are popular job titles related to Entry Level Machine Learning jobs in South Bend, IN? For Entry Level Machine Learning jobs in South Bend, IN, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in South Bend, IN look for? The top searched job categories for Entry Level Machine Learning jobs in South Bend, IN are:
What cities near South Bend, IN are hiring for Entry Level Machine Learning jobs? Cities near South Bend, IN with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in South Bend, IN as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,602 per year, or $17.1 per hour.
Assistant Professor in Quantitative Political Science

Assistant Professor in Quantitative Political Science

University of Notre Dame

Notre Dame, IN • On-site

Full-time

Posted 14 days ago

University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

336th of 612 rated colleges and universities

Job description

Description
The Department of Political Science at the University of Notre Dame invites applications for a tenure-track appointment at the rank of Assistant Professor in Quantitative Political Science, beginning fall 2027. We seek a scholar with substantive expertise in American Politics, Comparative Politics, Political Economy, International Relations, or the intersection of these fields, who applies frontier methods of statistics and data science to substantive questions in their area of expertise. Strong candidates will have a research agenda that demonstrates innovative uses of quantitative methods - such as machine learning and AI, text-as-data, network analysis, causal inference, or large-scale data collection - to generate substantively important insights into core questions in political science, as opposed to a focus exclusively on methodological contributions. We are particularly interested in candidates whose teaching could complement or contribute to the graduate methods sequence in political science. Duties include teaching, research, and service.
This position is part of the University's Data, AI, and Computing (DAC) Initiative, a University-wide effort that "balances ground-breaking foundational advances in data, AI, and computing with transformative interdisciplinary applications targeting societal challenges," and the successful candidate will hold an affiliation with the Initiative. Teaching obligations will include undergraduate offerings in the Data Science minor and supplemental major in the College of Arts & Letters.
Qualifications
Candidates at the entry level must have completed all requirements for a Ph.D. degree or have completed all but dissertation in political science or a related field with degree expected by July 1, 2027. Candidates at the advanced assistant professor level must have a Ph.D. in political science or a related field.
Applications received by September 15, 2026 will receive full consideration.
Application Instructions
Those attracted to a university with a Catholic identity are particularly encouraged to apply. Information about Notre Dame, including our mission statement, is available at www.nd.edu.
All applicants should include a CV, a letter of interest, a research statement, a teaching statement, one writing sample, teaching evaluations, and three letters of recommendation. Questions may be directed to Professor Richard Clark, chair of the search committee, at richard.clark@nd.edu.

What University Of Notre Dame employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply