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Physics Based Machine Learning Jobs in Memphis, TN

Deloitte

Cyber - SecOps - Consultant

Memphis, TN · On-site

Developing and applying analytics, machine learning, and data science techniques to cyber use cases ... Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors ...

Prophecy Technologies

Senior Data Engineer

Memphis, TN · On-site

$103K - $139K/yr

... cloud-based data solutions for healthcare analytics . The ideal candidate will have hands-on ... Develop and deploy machine learning models and predictive analytics solutions to support healthcare ...

Deloitte

Lead AI and Data Science Engineer II

Memphis, TN · On-site

$99K - $131K/yr

... and machine learning methods to generate rigorous, actionable insights. * Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay ...

Loram

Machine Operator 1, TSO

Memphis, TN · On-site

$20 - $21/hr

Values Based * Learning on the Fly * Action Oriented * Listening * Personal Learning This post is ... machine operations. 2+ Years Demonstrated ability to learn communicate verbally and in writing and ...

Loram

Machine Operator 1, TSO

Arlington, TN · On-site

$20 - $21/hr

Values Based * Learning on the Fly * Action Oriented * Listening * Personal Learning This post is ... machine operations. 2+ Years Demonstrated ability to learn communicate verbally and in writing and ...

Sonsoft Inc

Sr. Data Scientist

Memphis, TN

Company Description Sonsoft , Inc. is a USA based corporation duly organized under the laws of the ... Hands on experience on machine learning algorithms (Neural Networks, Support Vector Machines ...

Sonsoft Inc

Sr. Data Scientist

Memphis, TN

Company Description Sonsoft , Inc. is a USA based corporation duly organized under the laws of the ... Excellent understanding and experience with application of machine learning concepts and techniques ...

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

As of Aug 7, 2026, the average hourly pay for physics based machine learning in Memphis, TN is $19.49, according to ZipRecruiter salary data. Most workers in this role earn between $12.16 and $24.76 per hour, depending on experience, location, and employer.

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.

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Physics Based Machine Learning jobs near you
Infographic showing various Physics Based Machine Learning job openings in Memphis, TN as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, 7% Temporary, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $40,540 per year, or $19.5 per hour.

Senior Image Data Scientist-Center for Bioimage Informatics

St. Jude Children's Research Hospital

Memphis, TN • On-site

$86K - $154K/yr

Full-time

Re-posted 25 days ago

St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

40th of 1,055 rated hospitals

Job description

The Center for Bioimage Informatics at St. Jude Children's Research Hospital is seeking two Senior Image Data Scientists to design, develop, validate, document, and operate image-analysis pipelines and visualization solutions for biomedical imaging research. This role works closely with investigators, software engineers, data scientists, imaging facility scientists, and biostatisticians to translate scientific questions into reproducible, scalable analysis workflows using modern image analysis, statistical, computer vision, and machine learning approache
The successful candidate will support image data management, maintain analysis software and repositories, evaluate new methods and tools, and provide technical consultation and training to research teams. This role also serves as a project lead to coordinate image-analysis efforts, align related projects, and contribute to shared CBI infrastructure that supports routine and advanced bioimage analysis.
Applicant Statement:
Applicants are encouraged to include a brief cover letter or supplemental statement with a link to representative work, such as a public repository, napari plugin, published pipeline, or comparable artifact. The statement should briefly describe one end-to-end image-analysis project or software tool the applicant has owned in production, including the biological or scientific question, data scale, methods or model used, pipeline design, validation approach, user adoption, and resulting impact.
Preferred Qualifications:
  • PhD in a relevant quantitative, computational, biomedical, or scientific field.

  • Experience developing, validating, and maintaining image-analysis pipelines for biological or medical imaging data.

  • Strong programming skills in Python and experience with modern computer vision, machine learning, deep learning, or statistical image-analysis methods.

  • Experience with emerging AI methods relevant to bioimage analysis, including vision transformers, foundation models, generative AI, large language models (LLMs), or agentic AI tools.

  • Experience with scalable and reproducible scientific workflows (e.g., Snakemake, Nextflow), containers, version control, and HPC or cloud environments.

  • Demonstrated experience using modern bioimaging tools, data standards, and open-source ecosystems such as napari, ImageJ/Fiji, Cellpose, SAM-family and related foundation segmentation models, QuPath, BioFormats, OME-Zarr/NGFF, or similar platforms.

  • Experience with large image data volumes, image data management, quality control, benchmarking, annotation strategies, and method evaluation.

  • Demonstrated ability to collaborate with research teams, communicate technical results clearly, write user-facing documentation, and provide training through courses, workshops, seminars, or similar formats.

  • Evidence of technical leadership, such as leading multi-lab projects, contributing to shared infrastructure, publishing methods, or contributing to open-source scientific software.

Minimum Education and/or Training:
  • Bachelor's degree in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field required.
  • Master's degree preferred.

Minimum Experience:
  • Minimum Requirement: Bachelor's degree with 3+ years of work experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering) required.
  • Experience Exception: Master's degree with 1+ years of relevant experience.
  • Experience in image analyses, image data management, and programming (e.g., Python, R, Matlab, Java, C/C++).
  • Experience in image analysis platforms (e.g., ImageJ/Fiji, CellProfiler), scientific computing, scientific data visualization, scientific computer code optimization and evaluation in an HPC environment, development of algorithms, statistical methods or scientific software, working with large image data volumes, biological/medical imaging preferred.
  • Proven performance in earlier role/comparable role.

Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Senior Image Data Scientist-Center for Bioimage Informatics.
Explore our exceptional benefits!
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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