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Senior Meta Machine Learning Jobs in Tennessee (NOW HIRING)

Senior Growth Operator (DPA & Catalog)

Nashville, TN · On-site

$116K - $153K/yr

Architect and scale Dynamic Product Ad systems across Meta and other channels * Structure product ... Improve signal quality and learning phase stability This is about systems that scale , not tactics ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

AI/ML Engineer RFP Radar

Franklin, TN

$103K - $141K/yr

Job Title Senior Software Engineer (Intelligent Data Systems) Location Franklin, TN Candidates must ... Applied Machine Learning: Practical experience integrating Machine Learning into production ...

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Senior Meta Machine Learning information

Is L7 senior at Google?

L7 at Google is considered a senior-level position, typically involving significant technical expertise and leadership responsibilities. It is often regarded as a senior or staff level role within Google's engineering hierarchy, requiring extensive experience and advanced skills in areas like machine learning or software development.

How much does L7 make at Meta?

An L7 Senior Meta Machine Learning engineer typically earns a base salary ranging from $250,000 to $350,000 annually, with additional compensation such as bonuses and stock options. Total compensation can exceed $400,000 depending on performance and stock grants. These figures are based on industry reports and may vary by location and experience.

What engineer makes $500,000 a year?

Senior Meta Machine Learning engineers can earn $500,000 or more annually, especially with bonuses and stock options in large tech companies. High compensation typically requires advanced skills in deep learning, extensive experience, and a strong track record of impactful projects.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

How much does a Meta senior machine learning engineer make?

A senior machine learning engineer at Meta typically earns between $150,000 and $200,000 annually, with total compensation including bonuses and stock options often exceeding this range. Compensation varies based on experience, location, and performance, and the role requires strong skills in deep learning, data analysis, and programming in Python or C++.
What are the most commonly searched types of Meta Machine Learning jobs in Tennessee? The most popular types of Meta Machine Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Senior Meta Machine Learning jobs? Cities in Tennessee with the most Senior Meta Machine Learning job openings:
Infographic showing various Senior Meta Machine Learning job openings in Tennessee as of June 2026, with employment types broken down into 25% Full Time, and 75% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Senior Computational Scientist / Scientific Software Engineer for Cryo-ET Workflow Development

Senior Computational Scientist / Scientific Software Engineer for Cryo-ET Workflow Development

St. Jude Children's Research Hospital

Memphis, TN

Full-time

Posted 25 days ago


St. Jude Children's Research Hospital rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

61st of 1,002 rated hospitals


Job description

The St. Jude Center of Excellence for Structural Cell Biology (CoE-SCB) is seeking an innovative and highly motivated Senior Computational Scientist / Scientific Software Engineer to develop next-generation computational infrastructure for cryo-electron tomography (cryo-ET), and structural cell biology workflows.
This position sits at the interface of structural biology, high-performance computing (HPC), machine learning, and scientific software engineering. The successful candidate will work closely with experimental scientists, computational researchers, and HPC engineers to design scalable, automated, and reproducible pipelines that support cryo-ET workflows ranging from data collection and preprocessing to segmentation, subtomogram averaging, and large-scale data analysis.
The role offers the opportunity to help shape the future computational ecosystem of the CoE-SCB and contribute to transformative imaging workflows spanning molecular to cellular structural biology.
Learn more about the CoE-SCB and our research vision at:
https://www.stjude.org/research/centers-of-excellence/center-of-excellence-for-structural-cell-biology.html
Environment
The Center of Excellence for Structural Cell Biology (CoE-SCB) at St. Jude is building advanced multimodal and multiscale imaging workflows integrating cryoEM, cryo-ET, cryo-volume EM, cryo-FIB milling, machine learning, and large-scale computational analysis. The successful candidate will work within a highly collaborative environment alongside world-class scientists, computational engineers, and technology developers to create next-generation platforms for structural cell biology.
The World's Brightest Minds Always Innovate
At St. Jude Children's Research Hospital, we know what can be achieved when the brightest scientific minds face the fewest barriers. That's why we provide world-class facilities, state-of-the-art technologies, extraordinary support, and a collaborative bench-to-bedside environment where you can see firsthand how your work translates into discoveries that impact children's lives. At St. Jude, we encourage you to dream big and stop at nothing when it comes to advancing science and improving human health.
Key Responsibilities
  • Design, develop, and maintain scalable computational pipelines for cryo-ET workflows with a high level of automation and reproducibility.
  • Architect software solutions optimized for local workstations, HPC systems, and cloud-based environments.
  • Refactor existing analysis workflows into modular, maintainable, and reusable software components and libraries.
  • Develop user-friendly APIs and interfaces for data analysis, workflow management, and visualization.
  • Work closely with CoE-SCB scientists, faculty, and HPC engineers to identify computational bottlenecks and implement scalable, high-performance solutions for cryo-ET workflows.
  • Develop and optimize workflows for large-scale cryo-ET datasets, including preprocessing, tomographic reconstruction, segmentation, template matching, subtomogram averaging, and AI/ML-assisted analysis.
  • Evaluate, benchmark, and integrate emerging computational tools and technologies into existing workflows.
  • Implement robust software engineering practices, including version control, testing, profiling, optimization, logging, and error handling.
  • Scale local analysis workflows to distributed HPC and cloud infrastructures while ensuring efficient data handling and storage integration.
  • Assist with software deployment, troubleshooting, and standardization across the CoE-SCB computational ecosystem.
  • Maintain clear and comprehensive code documentation and user documentation.
  • Participate in cross-disciplinary projects involving machine learning, image analysis, visualization, and large-scale structural biology datasets.
  • Contribute to the strategic development of computational infrastructure supporting multimodal and multiscale structural cell biology workflows.

Preferred Skills and Experience
  • Advanced proficiency in Python, Linux, and shell scripting.
  • Strong software engineering and system design experience across local, HPC, and cloud computing environments.
  • Experience developing scientific software pipelines and automation frameworks.
  • Expertise in handling and processing large scientific datasets, including efficient storage, retrieval, and distributed processing strategies.
  • Experience with SQL databases and Object-Relational Mapping (ORM) frameworks.
  • Familiarity with Cryo-EM/Cryo-ET software ecosystems such as RELION, CryoSPARC, Warp, AreTomo, Dynamo, PyTom, EMAN2, SerialEM, Tomography 5, or related tools.
  • Experience with workflow orchestration, containerization, or distributed computing technologies is highly desirable.
  • Experience developing user interfaces and web-based tools using modern web technologies (HTML, CSS, JavaScript) is beneficial.
  • Familiarity with machine learning and AI-based image analysis approaches is desirable.
  • Strong commitment to reproducible research, maintainable codebases, and collaborative software development practices.
  • Excellent communication and collaboration skills in multidisciplinary scientific environments.

Job Responsibilities:
  • Lead computationally focused scientific research projects with minimal supervision from their PI. Develop new computational methods.
  • Identify, process, organize, interpret, review, and report relevant data.
  • Direct data collection.
  • Present research to colleagues within and outside the institution; draft a complex manuscript with minimal supervision, as required.
  • Regularly train and oversee the work of others in computational research and procedures.
  • Perform other duties as assigned to meet the goals and objectives of the department and institution.
  • Maintains regular and predictable attendance.

Minimum Education and/or Training:
  • Bachelor's degree in Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field.
  • Master's degree or PhD preferred.

Minimum Experience:
  • Minimum Requirement: Bachelor's degree and 7+ years of relevant experience.
  • Experience Exception: Master's degree and 5+ years of relevant experience (OR) PhD with 2+ years of relevant experience.
  • Rough criteria for this position based on publication output: 1-2 first author papers IF > 10 (or equivalent contribution to other research outputs).
  • Prior experience in computational research techniques and processes.
  • 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 $104,000 - $186,160 per year for the role of Senior Computational Scientist / Scientific Software Engineer for Cryo-ET Workflow Development.
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.