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Entry Level Machine Learning Engineer Jobs in Memphis, TN

Manufacturing Engineer I

Memphis, TN · On-site

$64K - $82K/yr

This entry-level engineer is responsible for supporting production processes, learning manufacturing systems, and assisting with continuous improvement initiatives under close supervision. This ...

This position is open to engineers ranging from entry-level professionals to experienced ... If you enjoy solving problems in the field, learning how things work, and seeing your improvements ...

This position is open to engineers ranging from entry-level professionals to experienced ... If you enjoy solving problems in the field, learning how things work, and seeing your improvements ...

This position is open to engineers ranging from entry-level professionals to experienced ... If you enjoy solving problems in the field, learning how things work, and seeing your improvements ...

Building trusted relationships with our network of engineering and sciences consultants under our ... Screening potential consultants through interviews and reference checks, while learning about their ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Memphis, TN salary details

$27.8K

$64.2K

$109.3K

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

As of Sep 7, 2026, the average yearly pay for entry level machine learning engineer in Memphis, TN is $64,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,700.00 and $72,700.00 per year, depending on experience, location, and employer.

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 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 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 the most commonly searched types of Machine Learning Engineer jobs in Memphis, TN?

The most popular types of Machine Learning Engineer jobs in Memphis, TN are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Memphis, TN?

For Entry Level Machine Learning Engineer jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Memphis, TN look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Memphis, TN with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Memphis, TN as of August 2026, with employment types broken down into 4% Internship, 83% Full Time, and 13% Contract. Highlights an 66% In-person, 4% Hybrid, and 30% Remote job distribution, with an average salary of $67,383 per year, or $32.4 per hour.

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

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Re-posted 14 days ago


St. Jude Children's Research Hospital rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

30th of 1,065 rated hospitals


Job description

Job Summary:
St. Jude Children's Research Hospital is a world-class research institution dedicated to pediatric cancer and other catastrophic diseases of childhood. They are seeking an innovative data scientist to join their multidisciplinary team to advance research in childhood cancer survivorship by applying state-of-the-art computational methods to high-dimensional health data.
Responsibilities:
• Apply state-of-the-art computational methods to extract insights from high-dimensional, multimodal health data.
• Develop predictive and integrative models that transform survivorship care.
• Lead a vibrant research program at the intersection of data science and clinical/biological sciences.
• 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.
Qualifications:
Required:
• Successful applicants must hold a PhD or equivalent degree in the field of data science
• Have at least three years of relevant postgraduate experience
• Have a proven track record of productivity
Preferred:
• 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
Company:
St. Founded in 1962, the company is headquartered in Memphis, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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