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Accelerate Learning Jobs in Tennessee (NOW HIRING)

We provide an accelerated learning journey in manufacturing and chemical engineering. You get responsibility right away and the opportunity to make your mark through exposure to a wide range of ...

Pragmatic mindset with an openness to leverage AI and advanced technologies to accelerate organizational learning velocity. Nice-to-haves (Non-Essential): * Deep experience in the Consumer-Packaged ...

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We are a diverse team 18,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive ...

Amplify learning: use AI agents to synthesize research and validate ideas before they enter the backlog-compressing lead time by accelerating the data crunching, ensuring the human connection.

Management Interns participate in an accelerated 9-week program during the summer months ... Contribute to the success of the Service Center by learning and understanding each position ...

Management Interns participate in an accelerated 9-week program during the summer months ... Contribute to the success of the Service Center by learning and understanding each position ...

Management Interns participate in an accelerated 9-week program during the summer months ... Contribute to the success of the Service Center by learning and understanding each position ...

Responsible for completing accelerated development track to Store Manager during the specified timeframe as outlined in the learning plan. * Under the direction of the Store Manager, oversees the ...

Responsible for completing accelerated development track to Store Manager during the specified timeframe as outlined in the learning plan. * Under the direction of the Store Manager, oversees the ...

Responsible for completing accelerated development track to Store Manager during the specified timeframe as outlined in the learning plan. * Under the direction of the Store Manager, oversees the ...

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Accelerate Learning information

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

To thrive in an Accelerate Learning role, you generally need a solid foundation in instructional design, curriculum development, and education technology, often supported by a degree in education or a related field. Familiarity with learning management systems (LMS), digital content creation tools, and data analytics platforms is typically required. Strong communication, collaboration, and problem-solving skills help you effectively engage with educators, students, and cross-functional teams. These competencies are crucial for designing impactful learning solutions and ensuring continuous improvement in educational outcomes.

What is an accelerate learning?

An Accelerate Learning job typically involves developing and implementing educational programs, curricula, or technologies designed to enhance the learning process. Professionals in this role may work in schools, educational companies, or corporate training environments, focusing on improving student outcomes through innovative instructional methods. Responsibilities can include curriculum design, teacher training, educational research, and leveraging technology to improve learning efficiency. These roles aim to create engaging and effective learning experiences to help individuals acquire knowledge and skills more efficiently.

What kinds of projects or initiatives might someone in an accelerate learning role typically work on?

Professionals in an Accelerate Learning position often work on creating and refining educational programs, developing interactive digital resources, and implementing new teaching methodologies. You may collaborate closely with teachers, subject matter experts, and technology teams to ensure learning solutions meet both curriculum standards and student needs. Projects can include pilot-testing new educational software, facilitating professional development workshops for educators, and analyzing learning data to optimize program effectiveness. This dynamic role offers opportunities to impact classroom learning, gain expertise in emerging educational technologies, and advance to senior curriculum or program management positions.

What are the most commonly searched types of Accelerate Learning jobs in Tennessee?

The most popular types of Accelerate Learning jobs in Tennessee are:

What job categories do people searching Accelerate Learning jobs in Tennessee look for?

The top searched job categories for Accelerate Learning jobs in Tennessee are:

Infographic showing various Accelerate Learning job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Staff Software Engineer / Machine Learning Engineer - Radiology

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Re-posted 15 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

41st of 1,059 rated hospitals


Job description

We are seeking a highly motivated and experienced Machine Learning Engineer to develop advanced machine learning (ML), deep learning (DL), and foundational AI models for medical imaging. This role focuses on building robust algorithms for segmentation, quantification, and detection across CT, MRI, and X-ray.
This position sits at the center of a well-resourced, data-rich research environment with established infrastructure for multi-institutional data aggregation, curation, and large-scale annotation. St. Jude Children's Hospital has incredible high-performance computing resources. The lab leverages curated datasets from diverse sources, dedicated annotation teams, and external engineering support, enabling this role to focus on high-impact model development, validation, and clinical translation.
Many projects are designed with a path toward regulatory clearance via FDA's 510(k) or De Novo pathways, and the successful candidate will work closely with regulatory and quality experts to support reproducible, well-documented, and clinically deployable AI solutions. This role offers a unique combination of academic productivity (authorship opportunities) and real-world impact through translation into clinical practice.
Machine Learning Engineer
Key Responsibilities
  • Develop, train, and validate state-of-the-art ML/DL models for segmentation, quantification, and detection across CT, MRI, and X-ray

  • Design and implement 2D and 3D model architectures (CNNs, transformer-based, and foundational models)

  • Build scalable pipelines for data preprocessing, model training, evaluation, and deployment

  • Develop quantitative imaging methods (e.g., volumetrics, density measurements, biomarker extraction)

  • Leverage curated, multi-institutional datasets to ensure model generalizability and robustness

  • Collaborate with radiologists and engineering teams to define clinically meaningful outputs

  • Produce regulatory-grade documentation for datasets, model development, validation, and performance

  • Ensure reproducibility and traceability of experiments (data, model, and code versioning)

  • Work collaboratively with regulatory and quality experts to support FDA 510(k) and De Novo submissions, including providing technical documentation and validation evidence

  • Contribute to software quality and security practices, including supporting activities such as vulnerability assessment and penetration testing in collaboration with cybersecurity and regulatory teams

  • Utilize modern AI-assisted development tools (e.g., LLM-based coding agents) to accelerate development and improve code quality

  • Participate in team-based development practices (code reviews, Git, testing frameworks)

  • Support manuscripts, grants, and technical reporting

Minimum Education and/or Training:
  • Bachelor's degree in computer science, data science, information science, business, or related field.
  • Master's degree preferred.

Minimum Experience:
  • Minimum Requirement: Bachelor's degree with 5+ years of experience required.
  • Experience Exception: Master's degree with 3+ years of experience.
  • Experience with programming languages, databases, and software development lifecycle
  • Experience with the position-specific technical stack preferred
  • Experience with the position-specific scientific domain preferred
  • Proven performance in earlier role/comparable role

Preferred Qualifications
  • 3+ years of experience developing ML/DL models for image analysis

  • Demonstrated experience with segmentation, detection, and/or quantitative imaging algorithms (2D and/or 3D)

  • Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)

  • Experience with modern architectures (U-Net variants, detection frameworks, transformers, or foundational models)

  • Familiarity with DICOM and medical imaging workflows

  • Strong understanding of evaluation metrics (Dice, IoU, ROC/AUC, sensitivity/specificity)

  • Experience with version control and collaborative development (e.g., Git)

  • Demonstrated ability to produce clear, structured technical documentation

  • Experience using modern LLM-based coding assistants (e.g., Claude, Codex, or similar) to enhance development workflows

  • (Strongly preferred) Experience developing and documenting AI solutions for clinical translation or regulatory submission (e.g., FDA 510(k))

  • Familiarity with Good Machine Learning Practice (GMLP)

  • Experience collaborating with regulatory, quality, or cybersecurity teams

  • Exposure to software security principles (e.g., secure coding, vulnerability assessment, penetration testing concepts)

  • Experience with large, multi-institutional datasets

  • Familiarity with radiology workflows and quantitative imaging biomarkers

  • Experience with cloud or high-performance computing environments

  • Experience deploying models into research or clinical environments

Academic and Career Development Opportunities
  • Significant opportunities for authorship on high-impact manuscripts

  • Active participation in multi-institutional research collaborations

  • Opportunities to contribute to grant proposals and funded research initiatives

  • Exposure to translational AI development, including projects targeting FDA 510(k) clearance

  • Ability to build a strong academic portfolio in parallel with real-world clinical impact

Key Attributes
  • Highly collaborative and team-oriented

  • Detail-oriented with strong commitment to documentation, reproducibility, and auditability

  • Able to operate effectively in a translational, regulatory-aware environment

  • Strong interest in delivering clinically impactful AI solutions

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 Staff Software Engineer / Machine Learning Engineer - Radiology.
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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