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Entry Level Machine Learning Engineer Jobs in Germantown, TN

Statics Tutor

Memphis, TN · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Recruiter/Sales Trainee We are looking for a highly motivated Entry-Level Recruiter/Sales Trainee ... This role involves building trusted relationships with our network of engineering and sciences ...

Recruiter/Sales Trainee We are looking for a highly motivated Entry-Level Recruiter/Sales Trainee ... This role involves building trusted relationships with our network of engineering and sciences ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Germantown, TN salary details

$26.9K

$62.2K

$105.9K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level machine learning engineer in Germantown, TN is $62,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,200.00 and $70,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What job categories do people searching Entry Level Machine Learning Engineer jobs in Germantown, TN look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Germantown, TN are:
What cities near Germantown, TN are hiring for Entry Level Machine Learning Engineer jobs? Cities near Germantown, TN with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Germantown, TN as of August 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $62,234 per year, or $29.9 per hour.

Faculty Position - Department of Epidemiology and Cancer Control, Data Science

St. Jude Children's Research Hospital

Memphis, TN • On-site

$57K - $57K/yr

Full-time

Re-posted 9 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

SJCRH
The Department of Epidemiology and Cancer Control at St. Jude Children's Research Hospital is recruiting an innovative data scientist to join our multidisciplinary team advancing research in childhood cancer survivorship as a Faculty Member at the FULL, ASSOCIATE, or ASSISTANT level. We are looking for a scholar to apply state-of-the-art computational methods to extract insights from high-dimensional, multimodal health data and develop predictive and integrative models that transform survivorship care.
Our Department's mission is to conduct cutting-edge clinical, biological, and population-health research, and translate findings into effective strategies to avert or mitigate cancer-treatment-related complications and improve the quality of life of childhood cancer survivors. We are seeking a creative and collaborative data scientist to lead a vibrant research program at the intersection of data science and clinical/biological sciences.
We actively collaborate across Cancer Center Programs, engaging with both clinic- and laboratory-based researchers to advance clinical care and knowledge of childhood cancer and associated late effects. Our research leverages diverse and complex data streams, including:
  • Time-series and cross-sectional sensor data from wearable devices
  • Image and video-based phenotyping for functional assessments
  • Multi-omics (whole genome/whole exome sequencing, RNA-seq, methylation, proteomics/metabolomics, CHIP) and biomarker profiles from biological samples
  • Physiological signals such as EKG
  • Longitudinal clinical, functional, and behavioral assessments
  • Usability evaluation
  • Geographical and spatiotemporal data on environmental and socioeconomic context

Ideal expertise/experience includes:
  • Advanced machine learning (deep learning, representation learning, probabilistic modeling)
  • Natural language processing and large language models for extracting, structuring, and modeling high-dimensional, unstructured clinical notes, patient-reported narratives, and speech-derived phenotypes
  • AI-driven approaches for multimodal data integration and predictive analytics
  • Computational pipelines for large-scale biomedical datasets
  • Interest in causal inference, risk stratification, and precision medicine
  • Experience in transforming complex clinical/biological data into meaningful representations (including advanced feature engineering)
  • Experience applying pretrained foundation models or self-supervised learning approaches to biomedical data
  • AI agents for orchestrating multi-stream data integration, real-time analytics, and decision-support workflows in survivorship research

Our department is home to both the Childhood Cancer Survivor Study with over 38,000 childhood cancer survivors diagnosed from 1970-1999 in North America, and the St. Jude Lifetime Cohort with over 6,000 clinically assessed childhood cancer survivors treated at St. Jude Children's Research Hospital since 1962. These foundational studies are funded by the National Cancer Institute (NCI) and are unparalleled resources for research, with comprehensive characterizations of cancer treatment exposures/doses.
Our department encompasses a strong T32 Postdoctoral program, >130 staff members who supports maintaining and expanding activities of the two cohort studies and many ongoing R01- equivalent projects which are built on the two cohort studies. Apply
Join us in the exciting, rewarding mission of improving lives of childhood cancer survivors through rigorous, cutting-edge research that has strong institutional support and commitment!
St. Jude Children's Research Hospital is a world-class research institution dedicated to pediatric cancer and other catastrophic diseases of childhood. We are the first and only National Cancer Institute (NCI)-designated Comprehensive Cancer Center devoted solely to children and have been recognized with the highest possible ranking of "exceptional" in our two most recent five-year reviews by the NCI. Our mission is to advance research and cures for pediatric cancer, the number one cause of death by disease for U.S. children past infancy. St. Jude is a highly interactive environment offering its faculty a remarkable opportunity to perform cutting-edge independent and collaborative research while receiving long-term institutional support past start-up to facilitate innovation and discovery.
We value different perspectives and intellectual discourse. We are committed to building an intellectually diverse community. St. Jude is consistently ranked on Fortune Magazine's "100 Best Places to Work For" and is No. 9 on the 2018 Glassdoor "Best Place to Work" list for companies with 1,000 or more employees.
St. Jude is located in the heart of Memphis, Tennessee, a vibrant and friendly city at the historic American crossroads of music, trade, food, and culture. Mild winters and beautiful green outdoor spaces are part of the reasons why Forbes recently named Memphis the 4th happiest city in which to work. Cost of living and high quality of life are other attractions; in fact, Money magazine listed Memphis as one of the least expensive cities in which to raise a child. St. Jude facilities and salaries are highly competitive, and a generous start-up and benefit packages are included.
Learn more about us at www.stjude.org.
Successful applicants must hold a PhD or equivalent degree in the field of data science, have at least three years of relevant postgraduate experience, and have a proven track record of productivity.
How to Apply:
Interested applicants should submit a curriculum vitae AND a 2-3 page summary of research interests directly online.
More information:
Gregory T. Armstrong, MD, MSCE
Chair, Epidemiology and Cancer Control
St. Jude Children's Research Hospital
262 Danny Thomas Place, MS 735
Memphis, Tennessee, 38105
greg.armstrong@STJUDE.ORG
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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