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Applied Machine Learning Intern Jobs in Lisle, IL

慨正橡扯

Applied AI ML Lead - Sales Science

Chicago, IL · On-site

$100 - $140/hr

  • Medical

  • Retirement

Bachelor's degree with 7 years of applied machine learning experience. * 5+ years of experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must.

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Knowledge of applied mathematics, including convex optimization, quadratic programming, and partial ... in Machine Learning; Experience with deep learning frameworks like TensorFlow or PyTorch;

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site +1

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site

$70K - $88K/yr

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

Design and deploy machine learning models to enhance trading performance across various asset ... applied ML models; previous experience in trading environment preferred * Proven expertise in ...

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All JobsApplied Machine Learning Intern JobsApplied Machine Learning Intern Jobs in Lisle, IL

Applied Machine Learning Intern information

See Lisle, IL salary details

$25.1K

$42K

$86.8K

How much do applied machine learning intern jobs pay per year?

As of Aug 13, 2026, the average yearly pay for applied machine learning intern in Lisle, IL is $41,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,400.00 per year, depending on experience, location, and employer.

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What cities near Lisle, IL are hiring for Applied Machine Learning Intern jobs? Cities near Lisle, IL with the most Applied Machine Learning Intern job openings:
Applied Machine Learning Intern jobs near you

Applied Machine Learning Engineer (All Levels)

Allstate Insurance

Chicago, IL • On-site

Other

Posted 4 days ago

Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Join Allstate Technology Solutions, a pioneering force committed to revolutionizing the way our employees, agencies, and customers interact digitally. Our mission is to harness cutting-edge technology, innovative product design, and the power of artificial intelligence to create a worldclass customer experience. We aim to redefine the customer experience, ensuring consistency and operational efficiency across all touchpoints and channels.
Become a part of our story.
At Allstate Technology Solutions, you'll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what's possible. The team works in a continuous innovation cycle of ideas, research, testing, analysis, and delivery.
About the Role
As a Machine Learning Engineer at Allstate, you will design, build, and operate machine-learning models that deliver real business impact. You'll work across the full ML lifecycle-including data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement. Our team emphasizes pair programming and test-driven development to ensure high-quality, reliable solutions.
What You'll Do (Responsibilities Vary by Level)
Entry-Level (Consultant II): Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices.
Mid-Level (Senior Consultant I): Build and deploy production ML models, own key components of ML projects, and partner with cross-functional teams.
Senior-Level (Senior Consultant II): Lead end-to-end ML initiatives, architect ML pipelines, mentor junior engineers, and influence technical direction.

Education

Bachelor's degree (STEM preferred).

Experience

* Entry-Level: 0-2 years (academic, internship, or professional).

* Mid-Level: 3+ years building ML solutions.

* Senior-Level: 3+ years deploying and operating ML systems.

Technical Skills

* Python (pandas,numpy, scikit-learn) and software engineering foundations.

* ML libraries:

-Experience with libraries such as scikit-learn,XGBoost,LightGBMrequired.

-Experience withPyTorch/TensorFlowisa plus.

* SQL for data exploration and feature engineering.

* Knowledge of model evaluation and interpretability (e.g., SHAP).

* Willingness to learn Terraform, Java, and Typescript (no prior experiencerequired).

Soft Skills

*Strong communicationand collaboration abilities.

* Ability to work with technical and non-technical partners.

* Leadership and mentoring experience for senior roles.

Preferred Qualifications

* Spark or distributed computing.

* Familiarity with APIs, containers, CI/CD, monitoring, drift detection.

*MLflow, SageMaker, Azure ML, Docker, CI/CD.

* AWS, Azure, or GCP cloud experience.

* Experience with deep learning, NLP, computer vision, or LLM/RAG.

* Prior ownership of end-to-end ML products.

* Insurance or financial services experience.

#LI-PG1

Skills

Applied Machine Learning, Machine Learning (ML), Machine Learning Algorithms, Model Building, Model Development, Model Evaluation, Python (Programming Language), PyTorch, Structured Query Language (SQL), Tensorflow

Compensation

Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.


For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the "EEO Know Your Rights" poster click "here". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click "here". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

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