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Physics Based Machine Learning Jobs in Huntley, IL

Marmon

Data Scientist

Carol Stream, IL · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Leverage generative AI and agent-based approaches to accelerate insight generation, pattern ...

Marmon Holdings Inc

Data Scientist

Carol Stream, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Leverage generative AI and agent-based approaches to accelerate insight generation, pattern ...

Marmon Holdings, Inc.

Data Scientist

Carol Stream, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Leverage generative AI and agent-based approaches to accelerate insight generation, pattern ...

Motorola Solutions

Senior Data Scientist (Hybrid)

Schaumburg, IL · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, build, and deploy advanced analytical and statistical machine learning models to ... The actual offer will be based on the individual candidate. #LI-DB1 #LI-Hybrid Basic Requirements

Motorola

Senior Data Scientist (Hybrid)

Schaumburg, IL · Hybrid

$120K - $140K/yr

  • Medical

  • Dental

  • Retirement

Design, build, and deploy advanced analytical and statistical machine learning models to ... The actual offer will be based on the individual candidate. #LI-DB1 #LI-Hybrid Basic Requirements

Grainger Businesses

Data Engineer III

Lake Forest, IL · On-site

$104K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role reports to a Senior Manager of Machine Learning Engineering and partners closely with ... Develop junior team members through modern cloud-based development. * Translate requirements into ...

Grainger Businesses

Data Engineer III

Lake Forest, IL · Hybrid

$104K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role reports to a Senior Manager of Machine Learning Engineering and partners closely with ... Develop junior team members through modern cloud-based development. * Translate requirements into ...

Grainger Businesses

Data Engineer III

Lake Forest, IL · Hybrid

$104K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role reports to a Senior Manager of Machine Learning Engineering and partners closely with ... Develop junior team members through modern cloud-based development. * Translate requirements into ...

RadNet, Inc.

Enterprise AI Architect

Itasca, IL · On-site

$160 - $260/hr

Lead architecture for generative AI, copilots, AI agents, RAG, machine learning, and intelligent ... Prioritize AI opportunities based on business value, feasibility, risk, and adoption potential.

Aquabyte

Embedded Software Engineer

Mundelein, IL

$130K - $190K/yr

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... This role is flexible and is based out of our Bay Area office and involves occasional travel to ...

W M Plastics, Inc

Machine Operator - All Shifts

Mchenry, IL · On-site

$16.75 - $20/hr

... Operator based inspection activities defined in the work instructions or control plan. 2.4. ... capable of learning basic workstation "Operator" tool usage. 3.4. Must have the ability to ...

Fermilab

Instrument Machinist

Batavia, IL · On-site

$32.36 - $40.28/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The pay offered to a selected candidate will be determined based on factors such the scope and ... Fermilab's Machine Shop Department is seeking a full-time Instrument Machinist to join the team.

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Physics Based Machine Learning information

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How much do physics based machine learning jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for physics based machine learning in Huntley, IL is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.43 per hour, depending on experience, location, and employer.

What is a physics based machine learning?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What does a physics based machine learning professional do?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What are the key skills and qualifications needed to thrive in physics based machine learning?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

What are popular job titles related to Physics Based Machine Learning jobs in Huntley, IL?

For Physics Based Machine Learning jobs in Huntley, IL, the most frequently searched job titles are:

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Cities near Huntley, IL with the most Physics Based Machine Learning job openings:

Physics Based Machine Learning jobs near you
Infographic showing various Physics Based Machine Learning job openings in Huntley, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, 6% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $41,658 per year, or $20 per hour.

Package & SI/PI - Senior/Staff Packaging Engineer - Electro-Thermal

Eliyan

Mundelein, IL

Full-time

Re-posted yesterday

Job description

Join the leading chiplet interconnect startup! We are seeking an experienced Senior/Staff Packaging Engineer specializing in electro-thermal simulation to join our advanced packaging team. You will develop comprehensive thermal and electrical simulations for next-generation semiconductor packaging solutions, including 2.5D/3D IC integration, chiplet-based systems, and advanced heterogeneous integration technologies. This role is critical in enabling high-performance computing, AI accelerators, and advanced chiplet architectures. We offer a fun work environment with excellent benefits. ONSITE M-F
Key Responsibilities:
  •  Develop detailed thermal models for 2.5D/3D IC packages, chiplets, and multi-die systems; perform steady-state and transient thermal analysis with hotspot identification
  • Execute power integrity (PI) and IR drop analysis; optimize power distribution networks (PDN) and power delivery architectures
  • Conduct electromigration (EM) and reliability analysis for interconnects, bumps, TSVs, and redistribution layers (RDL)
  • Develop chip-package co-simulation workflows using industry-standard EDA tools (ANSYS RedHawk\u0002SC, RHSC-ET, SIwave, Cadence Sigrity/Clarity)
  • Create hierarchical compact macro models (CMM) and reduced-order thermal models for early\u0002stage design optimization
  • Automate simulation workflows using Python, TCL, and Shell scripting; build design space exploration tools
  • Collaborate with silicon design, package design, and manufacturing teams on design-for-reliability (DFR) initiatives
  • Support customer engagements with technical analysis and present findings to stakeholders
Minimum Qualifications:
  •  
Education:
  • PhD in Electrical/Mechanical Engineering, or related field with focus on thermal management, power delivery, or electronic packaging (Master's with 5+ years experience considered)
  • Strong academic background in power integrity, signal integrity, and thermal management for advanced packaging
 
Technical Skills: 
  • Expert proficiency in: ANSYS RedHawk-SC, RHSC Electrothermal, Totem, PathFinder, SIwave, HFSS, Q3D; Cadence Voltus, Sigrity, Clarity; Synopsys RedHawk Fusion, PrimeTime, ICC2
  • Experience with physical design tools (Cadence Innovus, Synopsys ICC2, Siemens Calibre) and RTL\u0002to-GDSII flows
  • Strong programming/scripting: Python, C/C++, Tcl, Shell (bash); Verilog/VHDL/SystemVerilog for verification
  • Knowledge of advanced packaging: 2.5D/3D ICs (CoWoS, InFO, EMIB), chiplets, TSVs, interposers, FOWLP, RDL design
 
Domain Expertise:  
  • Deep understanding of EM/IR analysis, power integrity, thermal physics, and electrothermal co\u0002simulation
  • Expertise in heat transfer principles (conduction, convection, radiation), thermal material properties, and CTE mismatch
  • Knowledge of chiplet standards (UCIe and BoW), die-to-die interfaces, and wafer-scale integration
  • Hands-on experience with semiconductor package thermal/electrical analysis and tape-outs 
Ideal Qualifications:
  • Familiarity with machine learning applications in EDA and design optimization
  • Experience with HPC, AI/ML accelerator packaging, or co-packaged optics (CPO)
  • Background in reliability testing (thermal cycling, HTOL, THB) and measurement correlation
What we are looking for:
  • Strong analytical mindset with expertise across multiple physics domains (thermal, electrical, mechanical)
  • Excellent communication skills to present complex technical concepts to diverse audiences
  • Cross-functional collaboration abilities to work with silicon, package, product, and manufacturing teams
  • Self-motivated professional who thrives in fast-paced environments with minimal supervision
  • Continuous learner staying current with emerging technologies; innovation-driven with creative problem-solving
  • Results-oriented engineer delivering high-quality work to enable product milestones on schedule

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.