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Machine Learning Engineer Jobs in Memphis, TN (NOW HIRING)

AutoZone

Lead Data Scientist

Memphis, TN · On-site

Work with software developers and machine learning engineers to implement models into production. * Project Management : Develop and manage project plans, ensuring timely delivery and alignment with ...

micro1 AI

Domain Expert - (STEM PhD)

Memphis, TN · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

DataAnnotation

SDLC Engineer - AI Trainer

Memphis, TN · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

QA Engineer - AI Trainer

Memphis, TN · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

micro1 AI

Engineering AI Evaluator (PhD)

Memphis, TN · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Memphis, TN

Machine Learning Engineer information

See Memphis, TN salary details

$28.1K

$114.9K

$172.7K

How much do machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning engineer in Memphis, TN is $114,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $138,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
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 Machine Learning Engineer jobs in Memphis, TN? For Machine Learning Engineer jobs in Memphis, TN, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Memphis, TN look for? The top searched job categories for Machine Learning Engineer jobs in Memphis, TN are:
What cities near Memphis, TN are hiring for Machine Learning Engineer jobs? Cities near Memphis, TN with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Memphis, TN as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $114,933 per year, or $55.3 per hour.
Sr Staff Image Data Scientist -- Time-Series & Neuroscience

Sr Staff Image Data Scientist -- Time-Series & Neuroscience

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Re-posted 24 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

64th of 1,020 rated hospitals

Job description

Job Summary:
St. Jude Children's Research Hospital is a leading institution focused on understanding brain development and function through innovative computational research. The Sr Staff Image Data Scientist will be responsible for architecting and developing image analysis platforms, utilizing statistical and machine learning techniques to extract insights from complex biological data.
Responsibilities:
• Develop statistical, time-series, and machine learning techniques to extract meaningful insights from complex biological data (large-scale neuroimages, light and electron microscopy, animal behavior, histopathology, etc).
• Collaborate with scientists and researchers to design experiments and optimize data acquisition protocols for effective downstream computational analysis.
• End-to-end image analysis from pre-processing and data cleaning to reporting results.
• Stay up-to-date with the latest advancements in the field of data science.
Qualifications:
Required:
• A Ph.D. or equivalent degree in mathematics, statistics, computer science, neuroscience, physics or a related field.
• Strong background in statistical analysis and machine learning algorithms.
• Proficiency in programming languages such as Python, R, MATLAB, or similar languages commonly used in scientific computing.
• Strong expertise in time-series analysis, image and signal processing, and data visualization.
• Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team-oriented environment.
• Strong communication skills to effectively convey complex concepts and results to both technical and non-technical stakeholders.
• Bachelor's degree plus 8 years experience required.
• Work experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field).
• Demonstrated technical thought leadership in an applied computational field (e.g., computer vision, deep learning, numerical optimization, image analysis, computer game design, scientific computing, fine element analysis, scientific visualization).
• Substantial experience in image analyses, image data management, and programming (e.g., Python, R, Matlab, Java, C/C++).
• Proven performance in earlier role/comparable role.
Preferred:
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and high-performance computing environments is a plus.
• Master's degree plus six (6) years experience or PhD plus four (4) years experience preferred.
• Experience in biological/medical imaging, deep learning, 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.
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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