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Embedded Machine Learning Engineer Jobs in Memphis, TN

Data Science Tutor

Memphis, TN · 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 ...

Excellent understanding and experience with application of machine learning concepts and techniques ... Must be proficient in programming either R/Python/Scala. * Should have experience in Financial ...

Python Tutor

Memphis, TN · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

... programming and SQL knowledge. * Demonstrated experience building and deploying statistical and machine learning models to address business challenges. * Skilled in data wrangling, quality evaluation ...

Safety Engineer

Covington, TN · On-site

$71K - $107K/yr

This role ensures safety is embedded across the full lifecycle of site projects-from design through ... Ongoing learning and development opportunities * Medical, dental and (where applicable) vision ...

Junior AI Developer

Memphis, TN · On-site

$59K - $77K/yr

Training and Experience: 0-2 years of professional experience in software development, data engineering, machine learning, or backend development. General Skills: Must have strong software ...

Senior Quality Engineer

Memphis, TN

$86K - $116K/yr

... is embedded throughout the entire product lifecycle-from concept to delivery. With access to ... Grow your career through continuous learning, development, and advancement opportunities * Be part ...

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Showing results 1-20

Embedded Machine Learning Engineer information

See Memphis, TN salary details

$68K

$149K

$169K

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

As of Jul 16, 2026, the average yearly pay for embedded machine learning engineer in Memphis, TN is $149,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $168,100.00 per year, depending on experience, location, and employer.

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

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an Embedded Machine Learning Engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by Embedded Machine Learning Engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Memphis, TN? For Embedded Machine Learning Engineer jobs in Memphis, TN, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Engineer jobs in Memphis, TN look for? The top searched job categories for Embedded Machine Learning Engineer jobs in Memphis, TN are:
What cities near Memphis, TN are hiring for Embedded Machine Learning Engineer jobs? Cities near Memphis, TN with the most Embedded Machine Learning Engineer job openings:
Sr. Data Scientist

Full-time

Posted 20 days ago


Job description

Job Description

Hi,
I hope you are doing good.
I have a job opportunity related to your profile with one of our client, please find below Job Description for your review. If you are interested and available for the following position then please send your updated resume in word format along with your contact details to discuss further.
Role: Sr. Data Scientist
Duration: Full Time / Permanent
Location: Memphis, TN
Required Skills:

Overall Responsibilities:
Senior data scientist.
Research various analytical approaches
Recommend and develop mathematical algorithms for related business problems
Communicate and direct development teams on implementation of statistical models
Interface with Business users and gather feedback on delivered analytical data.
Deploy solutions on to big data platforms
Functional Responsibilities:
Specific tasks include but are not limited to:
Work on one of following initiatives within Predictive Client Analytics group: RFM recommendations, CCAR and other projects TBD
Validation of analytical approaches produced by vendor and 3rd party consulting teams
Developing data validation methods
Required Skills:
Technical / Analytical Skills:
Excellent understanding and experience with application of machine learning concepts and techniques (linear/logistic regression, clustering, classification, PCA, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques etc.)
Experience with regression techniques for modeling the relationship between an output variable and several input variables
Experience with Big Data technologies
Experience with visualization tools like Tableau
Experience creating interface specification documents, attribute mapping documents, functional specifications
Experience with web scraping
Experience with Text Matching applications
Nice to have:
Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management
Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities
Essential Skills
Strong verbal and written communication skills
Strong research skills
Python, R, SQL, Hive, Spark
Statistical analysis: To understand and work around possible limitations in models
Being able to develop hypothesis and test the Hypothesis with careful experiments
Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas
Should have experience with time series modeling
Should have experience with optimization approaches
Familiarity with the Big Data Ecosystem tools: Hadoop, Hive, Impala, Mahout, Spark(Spark SQL, MLLib),Hbase and be comfortable with the using the tools
Strong experience in data manipulation using SQL on Hive/Impala or other Databases
Experience in developing and deploying model with Mahout, Spark MLLib is preferable.
Must be proficient in programming either R/Python/Scala.
Should have experience in Financial services industry -Capital market would be preferable
Should have exposure to Data Visualization tools: Tableu(Preferable)/Qlickview/Excel

Additional Information

All your information will be kept confidential according to EEO guidelines.


Avance Consulting logo

About Avance Consulting

Sourced by ZipRecruiter

Avance Consulting is a global leader in innovative talent solutions for diverse industries. Since 2007, we have been serving nearly a third of Fortune 500 companies and most of the top 100 technology companies worldwide. Our team of 700+ experts offers Engineering Services, Information Technology, Digital and Executive Search solutions from our offices in North America, UK, Europe and APAC. At Avance you can learn new skills and technologies, have more advancement opportunities and career growth, being a part of our productive atmosphere, and a positive reinforcement culture.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Somerset , NJ, US

Year founded

2007

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