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Machine Learning Jobs in Montgomery, IL (NOW HIRING)

Translate business requirements into analytical, machine learning, and GenAI / Agentic AI solutions, ensuring outputs are decision-ready, actionable, and accurate. * Integrate and analyze large ...

Translate business requirements into analytical, machine learning, and GenAI / Agentic AI solutions, ensuring outputs are decision-ready, actionable, and accurate. * Integrate and analyze large ...

Apprentice Machinist

Cortland, IL · On-site

$10 - $12/hr

... machine, lathe, drill press, sander, buffer, bench grinder and various hand tools. * A candidate needs to possess openness to learning new skills and collaborating with other team members to create ...

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Apply advanced knowledge of machine learning, deep learning, statistics, and experimental methodologies to build high-quality, data-driven solutions * Partner closely with product, business, and ...

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Apply advanced knowledge of machine learning, deep learning, statistics, and experimental methodologies to build high-quality, data-driven solutions * Partner closely with product, business, and ...

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Machine Learning information

See Montgomery, IL salary details

$25.4K

$42.4K

$87.6K

How much do machine learning jobs pay per year?

As of Jul 18, 2026, the average yearly pay for machine learning in Montgomery, IL is $42,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,800.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

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

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What job categories do people searching Machine Learning jobs in Montgomery, IL look for? The top searched job categories for Machine Learning jobs in Montgomery, IL are:
What cities near Montgomery, IL are hiring for Machine Learning jobs? Cities near Montgomery, IL with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Montgomery, IL as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 1% Temporary, 1% Contract, and 4% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,370 per year, or $20.4 per hour.
Postdoctoral Appointee - AI for Synchrotron Imaging

Postdoctoral Appointee - AI for Synchrotron Imaging

Argonne National Laboratory

Lemont, IL • On-site

$49K - $67K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Argonne National Laboratory is a leading research institution focused on advanced scientific discovery, and they are seeking a Postdoctoral Appointee to join their Computational Science and Artificial Intelligence Group. This role involves developing learning-enabled imaging methods for synchrotron datasets, collaborating with experts across various scientific domains to enhance understanding of microbial communities within soil.
Responsibilities:
• Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets.
• Implement adaptive acquisition strategies that guide beamline measurements in real time to increase efficiency and improve image quality.
• Advance multimodal analysis methods that align and fuse structural, chemical, and biological signals to construct coherent models of microbial organization across scales.
Qualifications:
Required:
• Ph.D. completed in the past 5 years or soon-to-be completed in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or a related field.
• Strong expertise in machine learning, computational imaging, computer vision, or signal processing.
• Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research-grade algorithms.
• Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions.
• Excellent communication skills and a strong interest in interdisciplinary collaboration.
• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.
• Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.
Preferred:
• Experience with synchrotron or tomographic imaging datasets.
• Background in inverse problems or physics-informed machine learning.
• Exposure to scientific imaging applications (for example, biological, environmental, or materials science).
Company:
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management. Founded in 1946, the company is headquartered in Lemont, USA, with a team of 1001-5000 employees. The company is currently Late Stage.