1

Machine Learning Engineer Software Engineer Jobs in Tennessee

AI/ML Engineer RFP Radar

Franklin, TN

$103K - $141K/yr

Applied Machine Learning: Practical experience integrating Machine Learning into production software workflows. You don't need to be a research scientist, but you must know how to apply standard ML ...

AI/ML Engineer RFP Radar

Franklin, TN · On-site

$103K - $141K/yr

Applied Machine Learning: Practical experience integrating Machine Learning into production software workflows. You don't need to be a research scientist, but you must know how to apply standard ML ...

Unified Enterprises Corp. seeks candidates for the position of Software Engineer, responsible for the full software lifecycle development from design, development and testing, all the way through ...

Unified Enterprises Corp. seeks candidates for the position of Software Engineer, responsible for the full software lifecycle development from design, development and testing, all the way through ...

As part of our Software Engineer hiring efforts, we're using a video screening process and coding assessment. To learn more and to help prepare for this click here! Section 2: Job Functions ...

next page

Showing results 1-20

Machine Learning Engineer Software Engineer information

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

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

How do Machine Learning Engineer Software Engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.
What job categories do people searching Machine Learning Engineer Software Engineer jobs in Tennessee look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Machine Learning Engineer Software Engineer jobs? Cities in Tennessee with the most Machine Learning Engineer Software Engineer job openings:
Software Development Engineer, WHS Data-Tech

Software Development Engineer, WHS Data-Tech

Amazon

Nashville, TN • On-site

$110K - $132K/yr

Full-time

Posted 20 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,933 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

We're looking for a Software Development Engineer to help build the AI and computer vision systems that keep Amazon's workforce safe. This is a chance to work at the intersection of advanced machine learning and real-world impact, writing code that helps reduce workplace injuries for over 1.5 million people.
You'll join a team of engineers and applied scientists developing computer vision applications, real-time inference systems, and cloud-native services that detect and prevent safety risks across Amazon's global operations. You'll design and build production software end-to-end, from ingesting and processing video and sensor data, to deploying ML models at the edge, to surfacing actionable insights through internal tools and APIs

If you're excited about building systems that combine deep learning, distributed computing, and IoT, and you want to see your code make a tangible difference in people's lives, this is the role for you.
Key job responsibilities
- Design, develop, and maintain production services that power computer vision and AI-based safety applications, built on AWS
- Build and optimize data ingestion pipelines for video, image, and sensor data from edge devices deployed across Amazon facilities
- Develop APIs and backend services that integrate ML model outputs with internal safety tools and dashboards
- Collaborate with applied scientists to productionize machine learning models - handling model serving, inference optimization, and deployment workflows
- Write clean, well-tested, and maintainable code while contributing to code reviews, design documents, and architectural decisions
- Operate and maintain services in production, including monitoring, alarming, troubleshooting, and incident response
- Identify opportunities to improve system performance, scalability, and reliability as the platform scales to new sites and use cases
About the team
Amazon's Workplace Health & Safety (WHS) organization is responsible for keeping over 1.5 million employees safe across our global retail operations. Within WHS, our technology team builds the science and engineering capabilities that power Amazon's safety strategy at scale.
We're a cross-functional group of software engineers, applied scientists, data engineers, and technical program managers developing computer vision systems, generative AI applications, sensor and IoT solutions, and analytics platforms - all aimed at reducing workplace safety incidents. You'll work closely with applied scientists and ML engineers to take models from research to production, and collaborate with TPMs and product managers to deliver solutions that safety professionals rely on every day

Our culture values technical ownership, curiosity, and shipping systems that create measurable real-world impact.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US