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Machine Learning Engineer New Grad Jobs in Pontiac, IL

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ... Work with product engineers to translate prototypes into new products, services, and features and ...

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ... Work with product engineers to translate prototypes into new products, services, and features and ...

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ... Work with product engineers to translate prototypes into new products, services, and features and ...

Postdoctoral Fellow

Campus, IL ยท On-site

$47K - $64K/yr

Solid computing background or data experience, e.g., high-performance computing and machine learning. * Proficiency in Python, R, or related programming languages for data analysis and scientific ...

Postdoctoral Fellow

Campus, IL ยท On-site

$47K - $64K/yr

Solid computing background or data experience, e.g., supercomputing and machine learning; * Good programming skills in at least one programming language (e.g., Python, R, etc). * A good understanding ...

New Position Location: Main Campus Academic Period: 2027 Winter Semester Faculty: Faculte de genie ... in AI, machine learning, or data-driven decision systems. Experience working with optimization ...

New Position Location where work is to be performed: Main Campus Session: 2026 Fall Semester ... Candidates must have excellent knowledge of artificial intelligence, especially in machine learning ...

Post Doc Res Assoc

Campus, IL ยท On-site

$70K - $82K/yr

... develop new research directions. Additional responsibilities include mentoring and supervising ... systems engineering, advanced control, and artificial intelligence/machine learning for energy ...

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Machine Learning Engineer New Grad information

See Pontiac, IL salary details

$29.3K

$119.7K

$179.8K

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

As of Aug 22, 2026, the average yearly pay for machine learning engineer new grad in Pontiac, IL is $119,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $144,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

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 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 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 cities near Pontiac, IL are hiring for Machine Learning Engineer New Grad jobs?

Cities near Pontiac, IL with the most Machine Learning Engineer New Grad job openings:

Postdoc: Machine Learning Downscaling

Jet Propulsion Laboratory

Campus, IL โ€ข On-site

$47K - $64K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Job Details

New ideas are all around us, but only a few will change the world. That's our focus at JPL. We ask the biggest questions, then search the universe for answers-literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission-your opportunity-is to seek out the answers that bring us one step closer. If you're driven to discover, create, and inspire something that lasts a lifetime and beyond, you're ready for JPL.

Located in Pasadena, California, JPL has a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.

JPL is unique among NASA Centers in that its staff are Caltech employees, yet can access NASA technical resources. Cross-discipline teamwork is standard here: colleagues across JPL's science and engineering organizations and on Caltech's academic campus often work together. Learning to speak and understand other disciplines' languages is a doorway to the creativity needed to do what has not been done before. JPL staff are encouraged to create mission concepts that address humanity's core questions through a combination of science and technology. They are supported in developing ideas into proposals and hardware, and in communicating funded missions' results to the scientific community and the broader public. JPL seeks to employ scientists and engineers who are passionate about lifelong learning and excited to both contribute to and lead team efforts. We emphasize the importance of partnering across discipline boundaries and creating a friendly, constructive work environment to overcome space exploration's challenges. The Postdoctoral scholars at JPL benefit from an informal mentoring network, an annual conference showcasing their results, a dedicated seminar series, exposure to diverse career paths, and social connections across the JPL and Caltech community for advice on housing, childcare, and other aspects of living in southern California.

The selected postdoc will develop, test, and evaluate machine-learning downscaling models; analyze model performance and results; and contribute to the continued development and maintenance of the project workflow. The position offers an opportunity to apply advanced machine-learning techniques to Earth and planetary science research while working closely with JPL scientists and contributing to peer-reviewed publications.

Qualifications

  • Ph.D. in Earth Science, Atmospheric Science, Geophysics, Computer Science, or a related field.
  • Demonstrated experience developing and evaluating machine-learning or statistical downscaling models.
  • Strong programming and data-analysis skills, preferably in Python.
  • Ability to work independently and collaboratively on a research-focused project.
  • Strong written and verbal communication skills.

Applicants may be subject to additional program requirements by NASA. Postdoc positions are awarded for a minimum of one-year period and may be renewed up to a maximum of three years. Candidates should submit the following to this site: CV, representative publications, contact information for three references, and a cover letter stating their research accomplishments and interests.

JPL has a catalog of benefits and perks that span from the traditional to the unique. This includes a variety of health, dental, vision, wellbeing, and retirement plans, paid time off, learning, rideshare, childcare, flexible schedule, parental leave and many more. Our focus is on work-life balance, and living healthy, fulfilling lives as we Dare Mighty Things Together. For benefits eligible positions, benefits are effective the first day of the month coincident with or immediately following the employee's start date.

For further benefits information click Benefits and Perks

The hiring range displayed below is specifically for those who will work in or reside in the location listed. In extending an offer, Jet Propulsion Laboratory considers factors including, but not limited to, the candidate's job related skills, experience, knowledge, and relevant education/training.

The typical full time equivalent annual hiring range for this job in Pasadena, California.

$83,820 - $83,820

JPL is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, citizenship, ancestry, age, marital status, physical or mental disability, medical condition, genetic information, pregnancy or perceived pregnancy, gender, gender identity, gender expression, sexual orientation, protected military or veteran status or any other characteristic or condition protected by Federal, state or local law.

In addition, JPL is a VEVRAA Federal Contractor.

EEO is the Law.

EEO is the Law Supplement

Pay Transparency Nondiscrimination Provision

The Jet Propulsion Laboratory is a federal facility. Due to rules imposed by NASA, JPL will not accept applications from citizens of designated countries or those born in a designated country unless they are U.S. Citizens, Legal Permanent Residents of the U.S or have other protected status under 8 U.S.C. 1324b(a)(3). The Designated Countries List is available here.