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Machine Learning Software Engineer Intern Jobs in Pittsburgh, PA

At Gather AI, we're not just creating software; we're pioneering a new era of warehouse ... Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems ...

Gather AI is pioneering a new era of warehouse intelligence with innovative software that utilizes ... Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the ...

Field Engineer Intern

Imperial, PA · On-site

$17.25 - $22.25/hr

... machine shop operations, and in-person field operations to gain experience ... To be successful in this role, the candidate should be comfortable with learning new tasks and ...

Field Engineer Intern

Imperial, PA · On-site

$17.25 - $22.25/hr

... machine shop operations, and in-person field operations to gain experience ... To be successful in this role, the candidate should be comfortable with learning new tasks and ...

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

Software Perception Engineer

Pittsburgh, PA

$114K - $150K/yr

Job Title: Sr. Software Perception Engineer The Sr. Software Perception Engineer designs ... Analyze and annotate perception data for machine learning training, and actively participate in ...

Sr Machine Learning Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Position Title: Sr Machine Learning Engineer Location: PA - Pittsburgh, TX - Dallas, OH - Cleveland Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 10+ ...

Senior Software Engineer

Pittsburgh, PA · Hybrid

$118K - $156K/yr

AI & Machine Learning * LiDAR * Robotics/Self-Driving/Autonomy * General familiarity with relevant technologies: * Linux, Docker, and GitHub * AI/ML frameworks (Tensorflow, Pytorch) * Cloud platforms ...

Showing results 41-60

Machine Learning Software Engineer Intern information

See Pittsburgh, PA salary details

$13

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How much do machine learning software engineer intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for machine learning software engineer intern in Pittsburgh, PA is $24.68, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $27.98 per hour, depending on experience, location, and employer.

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?

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 are the most commonly searched types of Machine Learning Software Engineer jobs in Pittsburgh, PA?

The most popular types of Machine Learning Software Engineer jobs in Pittsburgh, PA are:

Senior Machine Learning Engineer - ML Planner

Motional

Pittsburgh, PA • On-site, Remote

$146K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 6 days ago


Job description

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.

What You'll Be Doing:

You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:

  • Designing and executing high value experiments based on collaborative input from other machine learning engineers
  • Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
  • Timely release of major model updates, including analysis of both off-line and on-road evaluation data
  • Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
  • Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

What We're Looking For:

  • In-depth understanding of common Machine Learning and Deep Learning algorithms
  • Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
  • Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and  testing methods
  • Experience with PyTorch or other python-based deep learning frameworks
  • Experience working with large data sets and deriving insights from data
  • Experience mentoring and collaborating with others

Education
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Bonus Points

  • Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
  • PhD in machine learning, computer vision, or robotics vision
  • Experience working on autonomous vehicles or related fields
  • Experience in deploying models into real-world environments
  • Strong programming skills in C++ and/or CUDA programming
  • This opportunity can support remote work within the United States, with occasional travel.

Working Conditions

While performing the duties of this job, the employee is frequently required to convey and detect communication

The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment

The employee may occasionally move up to 50 pounds

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$146,000—$225,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.  

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.