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Machine Learning Assistant Jobs in Streamwood, IL

Aquabyte

Machine Learning Engineer

Mundelein, IL

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

Essential Responsibilities: * Assist in the development and optimization of machine learning models. * Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and ...

PayPal

Machine Learning Engineer

Chicago, IL

Essential Responsibilities: * Assist in the development and optimization of machine learning models. * Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and ...

AppFolio

Sr. Machine Learning Engineer

Chicago, IL · Remote

$107.60K - $147.80K/yr

Assistant : a GenAI copilot embedded across the product experience * Flows: an agentic workflow ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

Cna

Senior AI & ML Engineer

Chicago, IL · Hybrid

$72K - $141K/yr

... machine learning, deep learning, information retrieval, natural languageprocessingor data mining preferred. * Applicable certifications preferred. #LI-KJ1 #LI-HYBRID In certain jurisdictions, CNA is ...

CNA

Senior AI & ML Engineer

Chicago, IL · On-site

$72K - $141K/yr

... machine learning, deep learning, information retrieval, natural language processing or data mining preferred. * Applicable certifications preferred. #LI-KJ1 #LI-HYBRID In certain jurisdictions, CNA ...

Novolex

Assistant Machine Operator

Saint Charles, IL · On-site

$21.57 - $26.97/hr

Assistant Cup Machine Operator St. Charles, IL Compensation Includes * Pay Range $21.57/hr - $26.97 ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Assistant Machine Operator

Saint Charles, IL

$21.57 - $26.97/hr

Assistant Cup Machine Operator St. Charles, IL Compensation Includes * Pay Range $21.57/hr - $26.97 ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Assistant Machine Operator

Saint Charles, IL

$21.57 - $26.97/hr

Assistant Cup Machine Operator St. Charles, IL Compensation Includes * Pay Range $21.57/hr - $26.97 ... Learning Management System that supports and enhances employee skills at all levels of the ...

Novolex

Assistant Machine Operator

Saint Charles, IL

$21.57 - $26.97/hr

Assistant Cup Machine Operator St. Charles, IL Compensation Includes * Pay Range $21.57/hr - $26.97 ... Learning Management System that supports and enhances employee skills at all levels of the ...

Calamos Investments

Lead AI Technologist

Chicago, IL · On-site

$140K/yr

Serve as a conduit between Data Science and the Quantitative Research group to assist with projects and tasks related to machine learning for financial and risk modeling. Perform general support for ...

McMaster-Carr

Lead Software Engineer

Chicago, IL · On-site

$235K - $310K/yr

Build and scale our domain-expert AI assistant that turns McMaster's product data and customer ... RAG, Embeddings, Vectorization, Machine Learning, Computer Vision * Dev Tools : Swagger, Git

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How much do machine learning assistant jobs pay per hour?

As of May 29, 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 are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

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 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 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

Machine Learning Engineer

Aquabyte

Mundelein, IL

Full-time

Posted 25 days ago

Job description

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish farms across the world. You’ll be responsible for software and machine learning model development of our on-camera and cloud software.
 
Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
 
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
 
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
 
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
 
The role
As a Machine Learning Engineer you will be responsible for developing Machine Learning models and pipelines as well as interacting with databases and data infrastructure. Conducting in-depth data analytics and building statistical data inference models of biological processes. This role is on the AI team where we develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.
Required Qualifications
  • BS/MS in relevant technical degree
  • 3+ years of experience with data-science
  • Strong coding ability; strong grasp of Python, SQL
  • Strong data analytics & modeling & ML skills
  • Strong data pipeline and data management skills
  • Strong software engineering skills; knowledge of best practices, testing, and deployment
Bonus Qualifications
  • Familiarity with; snowflake, dbt, airflow, pandas
  • Experience with Docker and cloud SW development (i.e. AWS)
Benefits
  • Competitive salary and equity
  • Unlimited vacation policy
  • Flexible working hours
  • Medical, vision, & dental insurance
  • Retirement matching plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be able to shape a business in its early days
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
Aquabyte takes a market-based approach to compensation. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy all the requirements, and we will get back to you as soon as possible! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.