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Entry Level Machine Learning Engineer Jobs in Brookfield, IL

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

The role involves designing and deploying machine learning models, collaborating with trading teams ... Required : • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

... machine learning & deep learning to solve challenging trading problems. This role is part of a ... The ideal candidate will have experience working with other researchers and engineers to build and ...

Varsity Tutors

Machine Learning Tutor

Oak Lawn, IL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Skokie, IL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Chicago, IL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Wheaton, IL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Schaumburg, IL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Entry Level Machine Learning Engineer information

See Brookfield, IL salary details

$30.1K

$69.6K

$118.4K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for entry level machine learning engineer in Brookfield, IL is $69,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $78,700.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What cities near Brookfield, IL are hiring for Entry Level Machine Learning Engineer jobs? Cities near Brookfield, IL with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Brookfield, IL as of June 2026, with employment types broken down into 11% Internship, 74% Full Time, 9% Part Time, and 6% Temporary. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $69,568 per year, or $33.4 per hour.
Staff/Senior Machine Learning Engineer, Clinical AI

Staff/Senior Machine Learning Engineer, Clinical AI

Tempus

Chicago, IL • On-site, Remote

$170K - $230K/yr

Other

Posted 2 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
We're seeking a highly skilled and innovative Staff/Senior Machine Learning Engineer to join our Clinical AI Team. As a Staff/Senior Machine Learning Engineer, you'll play a crucial role in leveraging and deploying cutting-edge natural language processing models and LLMs specifically tailored for healthcare applications at scale. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research. This position offers an exciting opportunity to leverage the power of natural language processing and LLMs to revolutionize healthcare and make a significant impact on people's lives.
What You Will Do:
  • Build and operate production AI pipelines: LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency
  • Design and maintain Airflow-based orchestration for batch clinical workflows
  • Build the observability (metrics, logging, alerting) that catches regressions before they reach downstream consumers
  • Build and maintain eval infrastructure that measures clinical model output quality continuously: regression detection, drift, gold-set management, dashboards
  • Ship platform tooling and SDKs that accelerate Machine Learning Scientists and downstream consumers
  • Partner with Machine Learning Scientists to debug bad model outputs to root cause (data, prompt, or pipeline)
  • Participate in the pod's on-call rotation
  • Collaborate with platform / infrastructure teams to leverage GCP services for performance, security, and cost-efficiency
  • Author and review design docs for cross-pod work
  • Raise the engineering bar through code review and design review
Required Qualifications:
  • Strong command of Python in production environments
  • Experience designing, building, and integrating with microservices in production
  • Deployed data orchestration workflows in production (Airflow or equivalent)
  • Worked on cloud-native services (GCP preferred but not required)
  • Built monitoring, observability, and alerting for production systems
  • Hands-on experience with at least one major ML framework - we primarily use LangGraph; PyTorch, spaCy, or equivalents are equally welcome
  • Strong written and verbal communication, including experience authoring and reviewing design docs (RFCs, PRDs, or equivalent); partners well with research scientists, PMs, and clinicians
Preferred Qualifications:
  • Operated production systems hands-on - on-call rotations, incident response, postmortems
  • Experience building eval / quality measurement systems for ML or LLM outputs
  • Hands-on production LLM application experience (prompts, agents, RAG, LLM evals, extraction pipelines)
  • Built internal platforms or SDKs that other engineers / scientists depended on
  • Experience working with clinical or biomedical data (EHR, genomics, pathology, clinical notes)
  • Contributions to relevant open-source projects

#LI-BL1
New York Pay Range - $170,000 - $230,000 USD
California Pay Range - $170,000 - $230,000 USD
Illinois Pay Range - $150,000 - $210,000 USD
Remote - USA Range - $150,000 - $210,000 USD
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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