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Remote Internship Machine Learning Engineer Jobs in Pittsburgh, PA

Staff Front End Engineer

Pittsburgh, PA · On-site +1

$172K - $229K/yr

... machine learning (ML) engineers and improve the performance and adaptability of our autonomous ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Working with simulation or machine learning models. * Demonstrate empathy for users and decision ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

AI Solutions Architect

Pittsburgh, PA · Remote

$61.25 - $80.50/hr

Remote (candidates in the Dallas, TX or Pittsburgh, PA areas strongly preferred) Compensation ... applications, and machine learning pipelines, aligned to client business objectives. * Lead ...

Data Science Tutor

Pittsburgh, PA · 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 ...

Clear written communication; youll document metrics for both engineers and business stakeholders ... machine learning, deep learning, or model building, this is not it. We have ML work on the team ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

Our team consists of highly motivated individuals who are passionate about learning, understanding ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Showing results 41-60

Remote Internship Machine Learning Engineer information

See Pittsburgh, PA salary details

$24.8K

$41.3K

$85.4K

How much do remote internship machine learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote internship machine learning engineer in Pittsburgh, PA is $41,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Internship Machine Learning Engineer vs Remote Data Scientist Intern?

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

What are popular job titles related to Remote Internship Machine Learning Engineer jobs in Pittsburgh, PA? For Remote Internship Machine Learning Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Remote Internship Machine Learning Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Remote Internship Machine Learning Engineer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Remote Internship Machine Learning Engineer jobs? Cities near Pittsburgh, PA with the most Remote Internship Machine Learning Engineer job openings:
Infographic showing various Remote Internship Machine Learning Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,341 per year, or $19.9 per hour.

Staff ML Engineer, Dynamic World Perception

Stack AV

Pittsburgh, PA • On-site, Remote

Full-time

Re-posted 20 days ago


Job description

About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
The Dynamic World Perception team is responsible for real-time detection of road actors and properties. This includes developing occupancy networks and other perception algorithms to accurately identify and classify all dynamic elements within the driving environment. We're looking for a Staff or Senior Engineer to lead the development, maintenance, and enhancement of our long-range detection capabilities, ensuring the required safety and performance standards are met or exceeded.
Responsibilities:
  • Lead initiatives in the team to deliver state-of-the-art closed-and open-world detection capabilities.
  • Contribute to expansion and fusion of existing detection models to support improving performance and extending performance at range.
  • Contribute to improvement of model frameworks, architecture, and data pipelines.
  • Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments.
  • Drive highly cross-functional features and workstreams from problem statement to delivery.
  • Contribute to the technical direction of the team and broader perception org.
  • Align stakeholders with strong presentation and communication skills.
  • Lead challenging technical topics and build consensus.

Qualifications:
  • Extensive experience architecting, training, and deploying deep learning models into real-world environments.
  • Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
  • Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications. Prior experience in sensor fusion is highly desirable.
  • Strong experience in software engineering and machine learning algorithm design.
  • Fluency in Python.
  • Experience with C++.

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.