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Embedded Machine Learning Engineer Jobs in Albany, GA

Shipping Technician

Cordele, GA

$14.50 - $18/hr

As the Shipping Technician for Yancey Engineered Solutions, you will be responsible for all inbound ... Load and unload machines and attachments from lowboy trailers. * Verify all freight is received ...

Shipping Technician

Cordele, GA

$14.50 - $18/hr

As the Shipping Technician for Yancey Engineered Solutions, you will be responsible for all inbound ... Load and unload machines and attachments from lowboy trailers. * Verify all freight is received ...

Shipping Technician

Cordele, GA · On-site

$14.50 - $18/hr

As the Shipping Technician for Yancey Engineered Solutions, you will be responsible for all inbound ... Load and unload machines and attachments from lowboy trailers. * Verify all freight is received ...

Embedded Machine Learning Engineer information

See Albany, GA salary details

$64.4K

$141.1K

$160.1K

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

As of Aug 19, 2026, the average yearly pay for embedded machine learning engineer in Albany, GA is $141,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $159,100.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as an embedded machine learning engineer?

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 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 job categories do people searching Embedded Machine Learning Engineer jobs in Albany, GA look for?

The top searched job categories for Embedded Machine Learning Engineer jobs in Albany, GA are:

What cities near Albany, GA are hiring for Embedded Machine Learning Engineer jobs?

Cities near Albany, GA with the most Embedded Machine Learning Engineer job openings:

Infographic showing various Embedded Machine Learning Engineer job openings in Albany, GA 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,091 per year, or $67.8 per hour.

Frito-Lay Corporate Supply Chain Quality & Food Safety Assoc Analyst

Work For Warriors Georgia

Albany, GA • On-site

Full-time

Re-posted 19 days ago


Job description

Job Description We are PepsiCo PepsiCo is a global food and beverage leader operating in more than 200 countries and territories with a product portfolio that includes 22 world-famous, billion-dollar brands. From Gatorade to Quaker, LIFEWTR to Lay's, we make hundreds of enjoyable foods and beverages that are loved throughout the world. Guiding PepsiCo is our vision to be the global leader in convenient foods and beverages by Winning with Purpose.

"Winning with Purpose" reflects our ambition to win sustainably in the marketplace and embed purpose into all aspects of the business. Our employees drive our culture. No two days are the same; we're dynamic and full of passionate teams embracing new ideas through our collaborative spirit.

At PepsiCo, what makes you unique, makes us better. Functional Description: The goal of Frito-Lay's Supply Chain Quality and Food Safety program is to provide students with the opportunity to leverage their academic understanding in a real-world, business-driven environment. You will have an opportunity to work on and manage a variety of different projects as well as leverage relationships and partner with leaders from our manufacturing plants.

Our organization is based in Plano, Texas. What you can expect: Supply Chain Quality and Food Safety Associate Analyst In this role, you will be called upon to: Assist in the analysis and development of quality and food safety metrics and business processes leveraging Tableau or other analytical tools. Derive insights from multiple QFS metrics & Communicate cross-functionally to assist team to solve operational issues, report findings to other team members and management as required Administer policies and practices, initiate, and implement projects Conduct presentations and formal training programs Improve team communication and engagement Think quickly, creatively and challenge team to do the same Support and execute various components and activities spanning the quality and food safety programs such as collecting data, business case product analysis, risk assessments, documenting procedures, develop training, auditing, process improvement and issues management Be accountable for quality and food safety programs and achievement of line performance metrics Passion for leveraging data and creating meaningful insight leveraging key Data analytics techniques include those such as data/text mining, machine learning, pattern matching, visualization, and statistics Manage multiple projects and competing priorities What we're looking for: Currently pursuing a degree in: Food Processing Engineering, Food Science, Microbiology, or Chemistry.

(other related majors will be considered) Working knowledge of Python, Tableau and other reporting tools. Demonstrated leadership ability Highly motivated self-starters Strong project management skills Ability to work in an unstructured environment with the ability to make tradeoff decisions quickly Ability to work on large projects and manage time and effort without need for constant supervision Ability to give/receive constructive feedback Ability to lead a team based approach to decision making Demonstrated ability to work in a results-oriented, challenging environment Experience with statistical modeling and developing reporting tools Effective coaching, facilitation, presentation and team building skills Communication skills to work with all levels of the organization from manufacturing employees to corporate executives Proven problem-solving skills Requirements Qualifications/Requirements Be completing their final year of undergraduate studies Hold a Bachelor's degree prior to the intended full time start date. This position is limited to persons with indefinite right to work in the United States.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents.

View PepsiCo EEO Policy. Please view our Pay Transparency Statement Relocation Eligible: Eligible for Standard Relocation All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901 - 4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy


Work for Warriors Georgia logo

About Work for Warriors Georgia

Sourced by ZipRecruiter

Work for Warriors Georgia is a renowned non-profit organization based in Marietta, Georgia, U.S.A. Established with a noble mission, the company operates in the philanthropy industry with a specialized focus on veteran support. The organization aims to bridge the employment gap for veterans and military spouses by offering job placement assistance, work training programs, and other supportive services. Since its establishment, Work for Warriors Georgia has worked relentlessly to make a significant impact, not only in Georgia but nationally, with countless veterans and military spouses finding rewarding employment opportunities through their programs.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Marietta, GA, US

Year founded

2013