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Machine Learning Engineer New Grad Jobs in Columbus, IN

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Controls Engineer

North Vernon, IN

$69K - $89K/yr

Uses PLC Programming, monitor machine performance, implement new equipment & improve controls to improve cycle times. * Use of Microsoft, Studio 5000, RS Linx, C-more EA 9, COHERIX, Power Flex, Panel ...

Controls Engineer

North Vernon, IN · On-site

$69K - $89K/yr

Uses PLC Programming, monitor machine performance, implement new equipment & improve controls to improve cycle times. * Use of Microsoft, Studio 5000, RS Linx, C-more EA 9, COHERIX, Power Flex, Panel ...

We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision ... Define mold features, size and injection molding machine * Establish request for quotation with ...

We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision ... Define mold features, size and injection molding machine * Establish request for quotation with ...

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Showing results 1-20

Machine Learning Engineer New Grad information

See Columbus, IN salary details

$29.3K

$119.8K

$180K

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

As of Jul 17, 2026, the average yearly pay for machine learning engineer new grad in Columbus, IN is $119,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $144,200.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Columbus, IN? For Machine Learning Engineer New Grad jobs in Columbus, IN, the most frequently searched job titles are:
What cities near Columbus, IN are hiring for Machine Learning Engineer New Grad jobs? Cities near Columbus, IN with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Columbus, IN as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $119,763 per year, or $57.6 per hour.
Electronic Systems Product Engineer

Electronic Systems Product Engineer

Cummins

Columbus, IN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Cummins rating

8.0

Company rating: 8.0 out of 10

Based on 259 frontline employees who took The Breakroom Quiz

131st of 528 rated manufacturers


Job description

Job Summary:

This entry level/early career professional, product focused position tailors electronic and electrical systems for Cummins products. People in these positions will translate product requirements into hardware and software technical requirements that control the operation of Cummins' products in a variety of customer applications. Additionally, there is responsibility to configure (tune), and complete comprehensive validation testing of the fully integrated hardware and software systems.

Key Responsibilities:

Investigates electronic application and systems problems, understands causal mechanisms, recommends appropriate action, owns problem resolution and documents results with guidance from more experienced team members. Applies and supports the improvement of electronic application and systems development processes and tools. Processes include system specification, modeling and simulation, calibration, Design Verification Plan and Report (DVP&R), and troubleshooting. Application of tools for simulation, calibration, and product life maintenance required. Obtains input from customers, technical and product teams, manufacturing engineers, supplier partners, and other stakeholders to deliver information and recommendations that lead to quality product decisions. Makes decisions in the areas of electronic and electrical system design, requirements, calibration, and test that impact the quality and performance of individual calibrated features and/or components. Owns problem resolution for moderately complex components, products, systems, subsystems or services with technical complexity and ambiguity increasing as experience is gained in the role. Provides independent execution of established work processes and systems, while still developing technology or product knowledge; engages with the improvement of systems and processes. Involves no direct management of people but could involve the coordination and direction of work amongst technicians and/or temporary student employees. Contributes effectively toward team goals, exhibits influence within a work group and continues to develop proficiency in the competency areas critical to success in the role.

Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

Job Skill Requirements:

  • Proficiency in Python for Data manipulation and Analysis
  • Experience with SQL and database management
  • Competency in R for Data Visualization and statistical analysis
  • Understanding of Engineering principles and numerical methods
  • Strong analytical and Problem-solving skills
  • Effective written and verbal communication skills
  • Ability to work well in a team environment
  • Willingness to learn and apply new tools and technologies
  • Precision in coding and data handling

Nice to have:

  • Familiarity with Databricks for big data processing, analytics and machine learning in a collaborativecloud Environment
  • Familiarity with basic Machine Learning concepts and libraries
  • Knowledge on Cloud Platforms (e.g.: AWS, Azure) for Data Storage, Data processing
  • Experience with Advanced Statistical methods like multivariate analysis or time series forecasting

Early Careers/Entry Level Requirements

  • External candidate must have completed a degree from an accredited US University within the past 2 years.
  • External candidate must currently reside in the US.

Competencies:
Design and Application of Mechatronics Systems - Specifies electronic hardware and interconnections that measure and control systems; applies electronic hardware and interconnections in Cummins' products.
Machine Integration and Optimization - Combines various parts or sub-systems into a whole to achieve the output most desired by the customer; applies Cummins' installation requirements using our standard tools, processes and identified best practices to ensure optimization of performance, reliability, cost and quality; analyzes technical issues using proven problem-solving and troubleshooting techniques for rapid resolution.
Product Failure Mode Avoidance - Mitigates potential product failure modes, by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins' products.
Product Function Modeling, Simulation and Analysis - Impacts product design decisions through the utilization and/or interpretation of computational tools and methods that predict the capability of a product's function relative to its system, sub-system and/or component level requirements.
Product Problem Solving - Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; andidentifies the systemic root causes and recommended actions to prevent problem reoccurrence.
Product Verification and Validation Management - Develops product systems validation plans from a variety of inputs to identify failure modes, while managing product risk and relative priority; negotiates product requirements against capability to guide project scope; evaluates analytical, simulation and physical test results to verify product capability and validate requirements; assesses legacy versus proposed system solution capabilities and produces recommendations with technical documentation to support product decisions.
System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts.
Systems Thinking - Defines the system of interest by drawing the boundaries, identifying its context within its environment, its interfaces, and that it has a lifecycle to aid in planning the problem statement, scope and deliverables; analyzes linkages and interactions between elements that comprise the system of interest by using appropriate methods, models and integration of outcomes to understand the system, predict its behavior and devise modifications to it in order to produce the desired effects.
Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Decision quality - Making good and timely decisions that keep the organization moving forward.
Drives results - Consistently achieving results, even under tough circumstances.
Self-development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
Values differences - Recognizing the value that different perspectives and cultures bring to an organization.
Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference (population and sample, confidence intervals, and hypothesis testing); models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions.
Cross-Functional Design Integration - Translates the value package requirements that include the voices of many stakeholders into virtual designs, and communicates the capability of the design through an approved cross-functional design review.
Technical Documentation - Documents information based on knowledge gained as part of technical function activities; communicates to stakeholders with the goal of enabling improved technical productivity and effective knowledge transfer to others who were not originally part of the initial learning.
Product Development Execution, Monitoring and Control - Plans, schedules, coordinates and executes the activities involved in developing a product to a respectively aligned hierarchy of requirements and technical profiles; monitors and communicates across functional boundaries to meet project resource and quality expectations; ensures product capability meets or exceeds expectations and takes mitigating actions when project risks are higher than expected; understands the full product life cycle process and stakeholders.
Design and Application of Open/Closed Loop Controls - Specifies software features that interact with mechanical, hydraulic, chemical and electronic systems to deliver desired system states;specifies control system architectures which include appropriate measurements, correct actuation, and algorithms for Cummins' products; configures and/or understands open/closed loop feedback controls features and the system interactions between hardware and software in Cummins' products.
Education, Licenses, Certifications:
College, university, or equivalent Bachelor's degree in Engineering or appropriate STEM field is required.
Post-graduate (Master's) degree relevant to this discipline area may be required for select roles.
This position may require licensing for compliance with export controls or sanctions regulations.
Experience:
Entry level/Early career professional. Preferred candidates would have relevant experience working in either a temporary student employment environment (intern, co-op, or other extracurricular team activities) or as an early career professional in a relevant technical discipline area. Knowledge of MS Office tools is also preferred


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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919