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Entry Level Machine Learning Engineer Jobs in Algonquin, IL

Whiztek Corp

AI Engineer

Schaumburg, IL · On-site

Agentic AI/AI Engineer - Generative AI & Machine Learning Location: Schaumburg, IL (Hybrid - 3 Days Onsite per Week) Long Term W2 Job Summary: We are seeking a highly motivated and adaptable AI ...

Whiztek Corp

Gen AI Engineer (W2)

Schaumburg, IL · On-site

Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL - Hybrid - 3days/week onsite Duration: Long Term Contract - W2 only Job Summary: We are seeking a highly ...

New

Prophecy Technologies

Generative AI Engineer

Schaumburg, IL · On-site

$95K - $131K/yr

We are seeking a highly motivated and adaptable AI Engineer to join an innovative team. The ideal ... Required Skills: * Strong proficiency in Python for backend development and machine learning.

The Hartford

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... The Hartford is developing industry-leading AI and machine learning capabilities to improve ...

3MD Inc.

Automation Applications Engineer

Elk Grove Village, IL · On-site

$130K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply experience in AWS Machine Learning or similar environments to enhance automation intelligence ... Bachelor's degree in engineering and at least 1-3 years of automation, machine vision, or machine ...

Coilcraft

Entry-Level Machinist

Cary, IL

$20.75 - $28.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for an Entry-Level CNC Machinist to join our manufacturing team. This is an excellent ... Perform routine machine maintenance * Work with engineering, quality, and production teams * Follow ...

Coilcraft

Entry-Level Machinist

Cary, IL · On-site

$18 - $25/hr

... machine maintenanceWork with engineering, quality, and production teamsFollow company safety and quality standardsWho We're Looking ForHigh school diploma or equivalent1-2 years of CNC machining ...

Coilcraft

Entry-Level Machinist

Cary, IL · On-site

$20.75 - $28.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for an Entry-Level CNC Machinist to join our manufacturing team. This is an excellent ... Perform routine machine maintenance * Work with engineering, quality, and production teams * Follow ...

Coilcraft

Entry-Level Machinist

Cary, IL · On-site

$18 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for an Entry-Level CNC Machinist to join our manufacturing team. This is an excellent ... Perform routine machine maintenance * Work with engineering, quality, and production teams * Follow ...

K1X

Data Engineer

Chicago, IL

$118K - $141K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You willbe responsible forcreating reliable, scalable, and high-quality data systems that enable downstream ML ...

New

Kforce Technology Staffing

Agentic AI Developer

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kforce has a client in Schaumburg, IL that is looking for an AI Engineer with a strong background in both Generative AI and traditional Machine Learning, with a proven ability to work on existing ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Algonquin, IL

Entry Level Machine Learning Engineer information

See Algonquin, IL salary details

$29.3K

$67.9K

$115.4K

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

As of Aug 12, 2026, the average yearly pay for entry level machine learning engineer in Algonquin, IL is $67,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,400.00 and $76,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

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?

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 are popular job titles related to Entry Level Machine Learning Engineer jobs in Algonquin, IL? For Entry Level Machine Learning Engineer jobs in Algonquin, IL, the most frequently searched job titles are:
What cities near Algonquin, IL are hiring for Entry Level Machine Learning Engineer jobs? Cities near Algonquin, 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 Algonquin, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $67,858 per year, or $32.6 per hour.

Graduate Machine Learning Researcher - Chicago

IMC

Chicago, IL • On-site

$300K/yr

Full-time

PTO

Re-posted 11 days ago

Job description

As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.
Your Core Responsibilities:
  • Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production
  • Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability
  • Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments
  • Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments
  • Collaborate closely with traders, researchers, and engineers to translate research into production trading systems

Your Skills and Experience:
  • PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative field
  • Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems
  • Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization
  • Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX
  • Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred
  • Ability to commence full-time employment in February or August 2027

You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Base Salary: $300,000
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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