ZipRecruiter

Log In

1

Machine Learning Software Engineer Intern Jobs in Tennessee

Vista Robotics

Software QA Intern

Jackson, TN · On-site

$16.75 - $22/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Vista Robotics

Software QA Intern

Murfreesboro, TN · On-site

$17 - $22.25/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Vista Robotics

Software QA Intern

Nashville, TN · On-site

$18.50 - $24.50/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Vista Robotics

Software QA Intern

Chattanooga, TN · On-site

$17.50 - $23/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Vista Robotics

Software QA Intern

Memphis, TN · On-site

$17.25 - $22.50/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Vista Robotics

Software QA Intern

Knoxville, TN · On-site

$18.25 - $24/hr

We are looking for a Software QA Intern to join Vista Robotics, a leading company in the field of computer software and engineering. As a Software AQ Intern, you will play a crucial role in ensuring ...

Varsity Tutors

Machine Learning Tutor

Chattanooga, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Murfreesboro, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

next page

Showing results 1-20

All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Tennessee

Machine Learning Software Engineer Intern information

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

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

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
Machine Learning Software Engineer Intern jobs near you
Software Engineer I - Roadside Real-Time Systems

Software Engineer I - Roadside Real-Time Systems

TransCore

Nashville, TN • On-site

Full-time

Posted 12 days ago

TransCore rating

6.5

Company rating: 6.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

117th of 141 rated electronics manufacturers

Job description

TransCore (TRN), a subsidiary of ST Engineering, is seeking a talented and driven Software Engineer I for our development team in Nashville, Tennessee.

Summary:  TransCore is seeking a Software Engineer to participate in all phases of the software development lifecycle, including requirements analysis, system design, software development, integration, and unit testing for lane-level real-time vehicle detection and tracking systems.

This position will initially focus on LIDAR and computer vision-based vehicle detection and tracking technologies operating on edge-compute platforms in real-world roadway environments. Additional areas of responsibility may include multi-sensor data fusion, vehicle data aggregation systems, and integration with radio frequency identification (RFID) devices and other roadway sensing technologies.

The ideal candidate is comfortable working across multiple technical domains, enjoys solving complex real-time system problems, and is interested in developing software that interfaces directly with physical hardware and live traffic systems.

What You’ll Work On

  • Computer vision and vehicle tracking systems
  • Multi-sensor roadway data collection systems
  • Real-time edge computing platforms
  • Vehicle identification and aggregation systems
  • High-performance software operating in live roadway environments

Responsibilities

  • Design, develop, test, and maintain software for real-time lane-level vehicle detection and tracking systems
  • Develop software for computer vision, LIDAR, and multi-sensor data processing applications
  • Troubleshoot deployed field systems and identify, diagnose, and implement software corrections as needed
  • Develop enhancements and new features for existing applications
  • Design and implement new software systems, tools, and utilities
  • Work with distributed edge-compute systems operating in Linux-based environments
  • Participate in software architecture, design reviews, and technical problem-solving activities
  • Support integration with external devices and systems, including RFID and roadway sensing hardware
  • Analyze system logs, sensor data, and performance metrics to diagnose issues and improve system reliability
  • Collaborate with cross-functional engineering teams on system integration and deployment activities
  • Occasional travel based on business needs.

Qualifications and requirements

  • Bachelor’s degree in computer science, Computer Engineering, Electrical Engineering, or related field. A combination of equivalent education and experience may be considered.
  • Strong software development experience in C/C++, and/or C#
  • Experience developing software in Linux environments
  • Experience with real-time or near-real-time systems
  • Familiarity with computer vision, image processing, or machine learning concepts
  • Experience working with hardware-integrated systems or sensor-based applications
  • Understanding of multithreaded and distributed software architectures
  • Strong troubleshooting and debugging skills
  • Experience with Git and modern software development practices

Preferred Qualifications

  • Experience with LIDAR systems or point cloud processing
  • Experience with OpenCV, CUDA, NVIDIA Jetson platforms, or GPU-accelerated computing
  • Experience with edge-compute or embedded Linux systems
  • Experience with sensor fusion or vehicle tracking systems
  • Familiarity with REST APIs, network communications, and distributed systems
  • Experience troubleshooting software in deployed production environments

Physical Demands/Work Environment  

While performing the duties of this job, the employee is regularly required to sit for extended periods of time. Requires frequent use of keyboard and mouse, must be able to wear a headset for prolonged periods. The noise level in the work environment is usually moderate.  

What TransCore employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply