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Machine Learning Assistant Jobs in Streamwood, IL

Crate and Barrel

AI/ ML Engineer

Northbrook, IL · On-site

$100 - $125/hr

We are looking for an AI / Machine Learning Engineer with 2-5 years of experience to play a ... and evaluation. * Assist in the iterative process of developing, managing, and validating new ...

Capital One

Manager, Ontology & Data Modeling

Chicago, IL · On-site

$56.50 - $73.25/hr

... Machine Learning, and other Capital One teams to support the development and integration of ... Able to assist in the implementation and support of data standardization and ontology governance ...

Capital One

Manager, Ontology & Data Modeling

Chicago, IL · On-site

$56.50 - $73.25/hr

... Machine Learning, and other Capital One teams to support the development and integration of ... Able to assist in the implementation and support of data standardization and ontology governance ...

Hobbsnews

Manager, Ontology & Data Modeling

Chicago, IL · On-site

$150 - $200/hr

... Machine Learning, and other Capital One teams to support the development and integration of ... Able to assist in the implementation and support of data standardization and ontology governance ...

IMC

Administrative Assistant

Chicago, IL · On-site

$65K - $85K/yr

As an Administrative Assistant, you will provide comprehensive support to a group of senior leaders ... machine learning, and engineering shape how modern markets are traded. A stabilizing force in ...

TigerGraph

Account Executive

Chicago, IL · On-site

$150K - $160K/yr

... AI,machine learning, and indeed decisioning. * Seven of the top ten global banks use TigerGraph for real-time fraud detection. * 50 million patients receive care path recommendations to assist them ...

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Machine Learning Assistant information

See Streamwood, IL salary details

$13

$17

$22

How much do machine learning assistant jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for machine learning assistant in Streamwood, IL is $17.83, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $18.99 per hour, depending on experience, location, and employer.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What job categories do people searching Machine Learning Assistant jobs in Streamwood, IL look for?

The top searched job categories for Machine Learning Assistant jobs in Streamwood, IL are:

What cities near Streamwood, IL are hiring for Machine Learning Assistant jobs?

Cities near Streamwood, IL with the most Machine Learning Assistant job openings:

Machine Learning Assistant jobs near you

AI/ ML Engineer

Northbrook, IL • On-site

Crate and Barrel
Retail • 5 - 10K employees
Learn more about Crate and Barrelexternal

$100 - $125/hr

Other

Posted 22 days ago

Crate & Barrel rating

6.8

Company rating: 6.8 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

30th of 63 rated furniture retailers

Job description

We are looking for an AI / Machine Learning Engineer with 2-5 years of experience to play a critical role in building and enhancing our production machine learning systems. You will be responsible for the day-to-day implementation of core models, developing efficient data pipelines, and ensuring the smooth operation of our AI services. This role is ideal for an engineer eager to solidify their production skills, learn MLOps best practices under senior guidance, and immediately contribute to impactful, user-facing features.

  • This position is fully remote
  • This role is an Individual Contributor position
A day in the life as an AI/ML Engineer
  • Write, implement, and test machine learning algorithms and models under the guidance of senior team members, focusing on defined project scopes.
  • Develop and maintain efficient data pipelines and scripts for cleaning, transforming, and augmenting large datasets necessary for model training and evaluation.
  • Assist in the iterative process of developing, managing, and validating new features to improve existing model performance.
  • Design and conduct rigorous A/B testing and validation experiments to measure model performance and impact before and after deployment.
  • Work within our existing MLOps frameworks (e.g., Docker, Kubernetes, MLflow) to help deploy and manage models in cloud production environments.
  • Quickly diagnose, debug, and resolve issues related to model performance, data pipelines, and production inference services.
  • Help set up and maintain model monitoring tools to track key production metrics, latency, and data/model drift.
  • Participate in agile ceremonies to contribute to effective sprint planning, transparent communication, and the successful delivery of sprint goals.
  • Work closely with product owners and other cross-functional team members to deeply understand user stories and deliver valuable solutions in alignment with sprint goals.
  • Contribute to the continuous improvement of development processes and tools through active participation in team retrospectives and feedback loops.
  • Write clean, maintainable, and well-documented code and contribute to the development and maintenance of internal knowledge bases and documentation repositories to facilitate information sharing and team learning.
  • Stay current with relevant technologies and industry trends.
What you’ll bring to the table
  • Proficiency in Python and fundamental familiarity with essential ML libraries (e.g., scikit-learn, PyTorch, TensorFlow).
  • Solid understanding of core machine learning concepts, statistical methods, and common algorithm families (e.g., regression, classification, clustering).
  • Experience with SQL and working with relational or NoSQL databases for data extraction and preparation.
  • Good grasp of software development principles, version control, and unit testing practices.
  • Basic experience or strong foundational knowledge of deploying applications or using services on a major cloud platform (AWS, Azure, or GCP).
  • Proven ability to analyze data, interpret model results, and clearly communicate findings.
  • Strong communication and collaboration skills, with the ability to effectively interact with cross-functional team members.
  • Ability to work independently on assigned tasks and contribute actively as a valued member of a self-organizing team.
We’d love to hear from you if you have…
  • 2+ years of experience in machine learning engineering, data science or a related role.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (or equivalent practical experience).
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What Crate & Barrel employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Crate & Barrel

Sourced by ZipRecruiter

Crate & Barrel operates in the retail industry, particularly in home furniture, accessories, and related services. Founded in 1962 by Gordon and Carole Segal in Chicago, Illinois, the company is now headquartered in Northbrook, Illinois and has become a leading home furnishings destination in the United States. With products including furniture, housewares, décor, kitchenware and much more, Crate & Barrel caters to an audience looking for modern, stylish home products. The company prides itself on its curated, globally sourced, and high-quality offerings. Its core mission is to help people love how they live in the moments that matter.

Industry

Retail

Company size

5,001 - 10,000 Employees

Headquarters location

Northbrook, IL, US

Year founded

1962

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