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Physics Based Machine Learning Jobs in Michigan (NOW HIRING)

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... Listed salary ranges may vary based on experience, qualifications, and local market. Also, some ...

General Motors

Machine Learning for Robotics

Warren, MI · On-site

Staff Researcher - Machine Learning for Robotics Role Overview General Motors is seeking a Staff ... Apply learning-based approaches to challenging robotic domains, including: * Grasping and dexterous ...

Corning

$95K - $130K/yr

This is an individual contributor role based in Monterrey with regular onsite presence and hybrid ... end machine learning pipelines covering data ingestion, preprocessing, training, validation ...

FastTek

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

Machine Learning Engineer #1054987 * Employees in this job function are responsible for designing ... LLM-based architectures (e.g., transformer models, RAG pipelines, fine-tuned foundation models ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... For US based candidates, the base pay ranges for a successful candidate are listed below.

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... For US based candidates, the base pay ranges for a successful candidate are listed below.

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... For US based candidates, the base pay ranges for a successful candidate are listed below.

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... For US based candidates, the base pay ranges for a successful candidate are listed below.

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Physics Based Machine Learning information

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 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 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 Michigan? For Physics Based Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Physics Based Machine Learning jobs in Michigan look for? The top searched job categories for Physics Based Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Physics Based Machine Learning jobs? Cities in Michigan with the most Physics Based Machine Learning job openings:
Physics Based Machine Learning jobs near you

Machine Learning Engineer

Stefanini

Dearborn, MI • On-site

Other

Re-posted 23 days ago

Job description


Stefanini Group is hiring!
Stefanini is looking for a Machine Learning Engineer(Dearborn, MI)
For quick apply, please reach out to Navneet Pathak at /
We are looking for candidates who will be responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.
ResponsibilitiesUnderstand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
Skills Required:Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science
Experience Required:5+ experience in relevant fieldUndertake statistical modeling, predictive analytics, and insight generation for the RAV platform Perform deep dive analyses on RAV vehicles to detect early indicators and recommend actions to prevent/mitigate RAV Execute quick turn studies for urgent business questions by mining, managing, and exploring large, high dimensional structured and unstructured datasets (e.g., RAV, quality, repair orders, repeat visits, parts orders/supply, service, warranty claims, recalls) Visualize validation results, analyses, and predictions using Power BI to deliver clear qualitative and quantitative insights Collaborate closely with architects, project managers, data engineers, software engineers, and other data scientists to test pipelines, validate outputs, and launch new platform capabilities and insights into production for maximum business value Communicate, present, and interpret analytical results to non technical audiences, cross functional teams, and leadership on a regular basis
Education RequiredMaster's Degree
Education PreferredDoctorate
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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