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Embedded Machine Learning Internship Jobs in Pittsburgh, PA

Waste Management

Sales Intern

Moon Township, PA · On-site

$14.25 - $19.25/hr

WM's Internship Program is a paid experience designed to bridge classroom learning with real-world ... copy machines, etc. V. Benefits At WM, each eligible employee receives a competitive total ...

Waste Management

Sales Intern

Moon Township, PA · On-site

$14.25 - $19.25/hr

WM's Internship Program is a paid experience designed to bridge classroom learning with real-world ... copy machines, etc. V. Benefits At WM, each eligible employee receives a competitive total ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Pittsburgh, PA

Embedded Machine Learning Internship information

See Pittsburgh, PA salary details

$24.8K

$41.3K

$85.4K

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

As of Aug 7, 2026, the average yearly pay for embedded machine learning internship 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 an embedded machine learning internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an embedded machine learning internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an embedded machine learning intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
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Embedded Machine Learning Internship jobs near you

Senior Software Engineer - Deploy Infrastructure

Latitude AI

Pittsburgh, PA • On-site

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Latitude AI (lat.ai) is building the future of Ford's autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on Ford's all-new Universal Electric Vehicle in 2027.
When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to redefining the relationship between people and their vehicles for millions of customers.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The Deploy Platform team at Latitude AI is responsible for getting the right software onto the right vehicles at the right time. We're looking for a Senior Software Engineer to help modernize our deployment infrastructure: replacing legacy bootstrapping systems, building services that integrate with our testing and artifact pipelines, and enabling teams across the company to deploy software reliably to autonomous vehicles.
This role sits at the intersection of infrastructure engineering and embedded systems. You'll build tools and services in Python, Rust, or Go that interact with ECUs, integrate with test frameworks, and connect to artifact management systems. You should be comfortable with Linux systems, enjoy automating away manual processes, and be curious about how software gets from a developer's machine onto a vehicle.
What you'll do:
  • Modernize deployment infrastructure - Replace legacy Ansible-based bootstrapping workflows with maintainable, testable tooling in Python and systems languages (Rust, C++)
  • Build services for next-gen deployment tooling - Develop backend services that support our deployment systems, integrating with systems such as Artifactory and Jenkins
  • Integrate with test infrastructure - Connect deployment systems with our hardware-in-the-loop integration test framework to ensure software updates are validated before reaching vehicles
  • Enable other teams - Build tooling and automation that helps engineers across Latitude deploy software reliably, reducing friction and manual steps
  • Collaborate across boundaries - Work with Security, Safety, and Embedded teams to ensure deployments are secure, robust, and meet automotive requirements
  • Improve observability - Add monitoring, logging, and debugging capabilities to deployment pipelines so issues are caught early and diagnosed quickly

What you'll need to succeed:
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
  • Strong proficiency in Python for automation, tooling, and service development
  • Experience with at least one systems language (Rust, Go, C++, or similar)
  • Familiarity with Linux systems administration and scripting (systemd, networking, package management)
  • Experience with infrastructure-as-code, configuration management, or deployment automation (Ansible, Terraform, Salt, or similar)
  • Comfortable working with CI/CD pipelines and release tooling
  • Strong problem-solving skills and ability to debug across system boundaries

Nice to have:
  • Experience in a DevOps, SRE, or infrastructure role in autonomous vehicles, robotics, or other embedded/IoT domains
  • Familiarity with embedded Linux environments or deploying software to ECUs/edge devices
  • Experience with Bazel or similar build systems
  • Exposure to over-the-air (OTA) update systems or fleet management
  • Experience with gRPC/Protocol Buffers or similar services/protocols
  • Background working in safety-critical or regulated industries (automotive, aerospace, medical devices)

What we offer you:
  • Competitive compensation packages
  • High-quality individual and family medical, dental, and vision insurance
  • Health savings account with available employer match
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance
  • Paid parental leave
  • Paid medical leave
  • Unlimited vacation
  • 15 paid holidays
  • Daily lunches, snacks, and beverages available in all office locations
  • Pre-tax spending accounts for healthcare and dependent care expenses
  • Pre-tax commuter benefits
  • Monthly wellness stipend
  • Adoption/Surrogacy support program
  • Backup child and elder care program
  • Professional development reimbursement
  • Employee assistance program
  • Discounted programs that include legal services, identity theft protection, pet insurance, and more
  • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude's team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
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