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Senior Machine Learning Engineer Jobs in Memphis, TN

Frontend Developer

Memphis, TN ยท On-site

$83K - $121K/yr

Machine Learning (ML) outputs to User Interface (UI) * Process historian and manufacturing system ... Reduce engineering bottlenecks * Improve speed to value * Support backend development * Focus on ...

Reporting to the Sr Facilities & MRO Manager, the Sr Facilities Engineer applies engineering values to design, modify or develop facilities, testing, machines, equipment, or processes used in ...

Reporting to the Sr Facilities & MRO Manager, the Sr Facilities Engineer applies engineering values to design, modify or develop facilities, testing, machines, equipment, or processes used in ...

Manufacturing Engineer I, II or Sr.

Arlington, TN ยท On-site

$81K - $110K/yr

Experience with CNC machining, manual machining, metal finishing/grinding and assembly is required ... engineering position in a machine shop environment. Sr.: Minimum of 5 years in a manufacturing ...

Senior Controls Engineer

Olive Branch, MS ยท On-site

$87K - $114K/yr

The Senior Controls Engineer position is located in Olive Branch, MS. You'll be excited about this ... Program from scratch, Human Machine Interface (HMI) programs for small to large industrial ...

Data Science Tutor

Memphis, TN ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Showing results 41-60

Senior Machine Learning Engineer information

See Memphis, TN salary details

$53.1K

$113K

$163.8K

How much do senior machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior machine learning engineer in Memphis, TN is $112,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $128,100.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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 Senior Machine Learning Engineer jobs in Memphis, TN? For Senior Machine Learning Engineer jobs in Memphis, TN, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Memphis, TN look for? The top searched job categories for Senior Machine Learning Engineer jobs in Memphis, TN are:
What cities near Memphis, TN are hiring for Senior Machine Learning Engineer jobs? Cities near Memphis, TN with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Memphis, TN as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $112,959 per year, or $54.3 per hour.

Reserve Engineer (On-site) - Memphis, Tennessee

Cobalt AI, LLC

Memphis, TN โ€ข On-site

Contractor

Re-posted 27 days ago


Job description

Salary: $20-$50/hour DOE

About Cobalt AI

www.cobaltai.com


Cobalt AI utilizes a combination of human expertise, robotic technology, and monitoring intelligence solutions to effectively resolve any security incidents. Our dedicated team patrols and monitors sites 24/7 to proactively prevent break-ins, identify significant leaks, and provide our customers with visibility over their space, their assets, and their data.


Cobalt's team is composed of renowned technologists and security professionals and is backed by world-class investors such as Sequoia, Bloomberg Beta, and Coatue. In 2019, Cobalt was recognized as one of the Best Places to Work by the Silicon Valley Business Journal and the San Francisco Business Times.


Were looking for people who want to make an impact with us and help build a company that is known for its excellence in engineering, passion for progress, and dedication to customers.


___________________________________________________________________________


About The role: The Reserve Engineer (RE) is someone who is knowledgeable with computer hardware and provides our clients with top-notch customer service. The RE serves as Cobalt's "boots on the ground" and are part of our rapid-response field-operations team in the event a hardware-failure happens at a client site. Occasionally, REs assist with field projects and new robot deployments. The RE an essential role-player in keeping our robots operating and our clients happy. Please note, this is not a remote position.


What You'll Do


  • Learn our robot hardware inside and out to be comfortable servicing and maintaining our machine. (we'll provide the paid training)
  • Communicate with both technical and non-technical teammates with field repairs and projects.
  • Ensure hardware failures on our robots are addressed, and resolved within a safe and timely manner.
  • Occasionally assist with field operation projects and new robot deployments
  • Be dispatched to client sites within your area to resolve hardware failures 1-3 times a month(potentially more)
  • Reports to a Regional Project Manager for tasking and delegation.

You're a Great Candidate If


  • You're excited about robotics, artificial intelligence, machine learning, and willing to learn
  • You're familiar with hardware assembly and disassembly.(Tool kit with basic hand tools will be provided)
  • You're Familiar with computer hardware and small electrical components(proprietary training will be provided)
  • You're an excellent communicator and comfortable collaborating and receiving instruction on platforms such as Slack, GoogleMeet/Hangout etc.
  • You are available during days and times within Mon-Fri, 9a-5p. (Flex/Oncall schedule)
  • You're open to support jobs that may occur after hours(5pm-9am) and on weekends.(Flex/Oncall schedule)
  • You're presentable and comfortable speaking to clients from Fortune 100 & 500 companies.
  • You love providing great customer service.

Bonus Skills


  • Experience with robotics
  • Experience with computer hardware and electrical components
  • Experience working in a fast-paced startup environment.
  • Military/First Responder
  • Associate degree or higher


The Reserve Engineer is a 1099 contractor position at Cobalt AI and is NOT a remote position. Compensation range is between $20-$50/USD hr DOE. Cobalt Robotics does NOT pay for relocation for this role.


Cobalt AI is an equal employment opportunity employer and values diversity. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.