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Urgently Hiring Machine Learning Engineer New Grad Jobs in Chicago, IL

TEKsystems

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

Hiring Process - Target start dates are still being discussed. - Interviews will begin next week ... Onboarding - New hires receive an onboarding buddy who helps show them the ropes. - Ramp-up period ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the ... hiring process. Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Preferred Qualifications PhD in Mathematics, Engineering, Physics or related field; 4-8 years experience working in Machine Learning; Experience with deep learning frameworks like TensorFlow or ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... Be invested in staying current in machine learning and infrastructure by applying new technologies ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... Be invested in staying current in machine learning and infrastructure by applying new technologies ...

TEKsystems

Machine Learning Engineer

Chicago, IL · Remote

$95 - $105/hr

We help clients activate ideas and solutions to take advantage of a new world of opportunity. We ... We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing ...

Crowe LLP

Machine Learning Engineer

Chicago, IL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...

Socket.dev

Machine Learning Engineer

Chicago, IL · On-site

$62 - $100/hr

As an AI Engineering team member, you will be instrumental in advancing new features and/or ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...

Apex Systems

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest ...

Until

Machine Learning Engineer / Scientist

Mundelein, IL · On-site

$140K - $240K/yr

You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer ... Final hiring decisions are ultimately made by humans. If you would like more information about how ...

Crowe Advisory LLC

Machine Learning Engineer

Chicago, IL · On-site

$62 - $100/hr

About the Role As an AI Engineering team member, you will be instrumental in advancing new features ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...

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Urgently Hiring Machine Learning Engineer New Grad information

What does a machine learning engineer new grad do?

An entry-level Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to solve real-world problems. They work closely with data scientists, software engineers, and product teams to collect and preprocess data, select appropriate algorithms, and integrate models into production systems. New grads in this role often focus on learning industry best practices, improving model performance, and collaborating on cross-functional projects under the guidance of more senior engineers. They may also participate in code reviews, documentation, and continuous learning to stay updated with advancements in machine learning.

What are some common challenges new graduates face when starting as a machine learning engineer, and how can they overcome them?

New graduates entering Machine Learning Engineering often find it challenging to bridge the gap between academic knowledge and real-world applications, especially when dealing with large, messy datasets and ambiguous business objectives. Collaborating effectively with cross-functional teams—such as data engineers, product managers, and software developers—can also be a learning curve, as clear communication and understanding of broader project goals are essential. To overcome these challenges, new grads should seek mentorship, actively participate in code reviews, and focus on continuously improving their coding and problem-solving skills through hands-on projects. Embracing feedback and staying updated with industry best practices will also accelerate their professional growth.

What are the key skills and qualifications needed to thrive as a machine learning engineer new grad, and why are they important?

To thrive as a Machine Learning Engineer New Grad, you need a solid background in computer science, statistics, and programming (especially Python), typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems is commonly required. Strong problem-solving abilities, teamwork, and effective communication help new grads excel in collaborative and fast-evolving environments. These skills ensure the ability to build, deploy, and continually improve machine learning models that solve real-world problems.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Chicago, IL?

The most popular types of Machine Learning Engineer New Grad jobs in Chicago, IL are:

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Urgently Hiring Machine Learning Engineer New Grad jobs near you

Machine Learning Engineer

Gotion, Inc.

Manteno, IL • On-site

Full-time

Re-posted 14 days ago

Job description

About The Team
The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.

Role Summary

We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up.

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments.

Essential Duties and Responsibilities:

  • Design and implement novel machine learning and deep learning models tailored to internal research needs
  • Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures
  • Conduct rigorous experimentation, benchmarking, and ablation studies
  • Collaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling
  • Contribute to internal documentation and present research outcomes to technical and leadership teams
  • Track and integrate advances from the ML research community to ensure technical excellence

Required Qualifications:

  • Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field
  • Demonstrated expertise in model development, optimization, and algorithmic innovation
  • Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc.
  • Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics
  • Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
  • A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus
  • Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments

The US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.   

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