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Machine Learning Intern Remote Jobs in Pittsburgh, PA

CEI

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 ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Remote JobsMachine Learning Intern Remote Jobs in Pittsburgh, PA

Machine Learning Intern Remote information

See Pittsburgh, PA salary details

$24.8K

$41.3K

$85.4K

How much do machine learning intern remote jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning intern remote 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 does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

What are the key skills and qualifications needed to thrive as a machine learning intern?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What are popular job titles related to Machine Learning Intern Remote jobs in Pittsburgh, PA?

For Machine Learning Intern Remote jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern Remote jobs in Pittsburgh, PA look for?

The top searched job categories for Machine Learning Intern Remote jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Machine Learning Intern Remote jobs?

Cities near Pittsburgh, PA with the most Machine Learning Intern Remote job openings:

Machine Learning Intern Remote jobs near you
Infographic showing various Machine Learning Intern Remote job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $41,341 per year, or $19.9 per hour.

Senior Staff AI Software Engineer, Perception

Agility Robotics

Pittsburgh, PA • On-site, Remote

$238K - $372K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

Agility Robotics builds Digit, the world's first commercially deployed humanoid robot — already at work in real warehouses and manufacturing facilities today. Digit has proven itself in structured work cells, and now we're pushing beyond them: into open floors, shared aisles, and dynamic spaces where people, forklifts, and other robots are all moving at once. That shift raises the bar for perception dramatically — Digit needs to reliably understand and react to an environment that's no longer predictable or controlled.

That means perception isn't just about capability — it's about trust. Every person Digit works near is counting on our perception systems to see them, understand them, and never get it wrong, whether Digit is in a fixed work cell or navigating a busy, ever-changing facility. We're looking for a Senior Staff AI Software Engineer, Perception to own the technical vision and system architecture for how Digit perceives and stays safe as we take on these more dynamic, less constrained environments.

What You'll Do
  • Own the technical vision and system architecture for Perception that enables safety and efficiency, defining how Digit will perceive and reason about humans and hazards as it expands from structured work cells into open, dynamic environments
  • Analyze key architectural tradeoffs across sensing modalities, model design, redundancy, and compute budget, balancing safety, latency, and real-world robustness
  • Stay hands-on with development to prototype, validate, or build critical pieces yourself
  • Partner with functional safety and systems engineering to define the safety case strategy, identifying what architecture and evidence will be required
  • Support failure mode and hazard analysis at the system level, shaping which risks the architecture must design around
  • Evaluate emerging research and technology, and decide what's worth adopting into future robot architectures
  • Set standards for verification and validation of ML-based perception systems, especially for rare and safety-critical scenarios
  • Collaborate across navigation, controls, and hardware to make sure the perception architecture serves the whole robot
  • Act as a senior technical mentor and partner to engineers and technical leads across the organization, and represent the architecture to executive leadership, partners, and customers as needed
What You Bring
  • 8+ years in machine learning/perception for robotics, with a track record of defining system architecture
  • Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related field, with a strong foundation in machine learning, robotics, and intelligent systems
  • Demonstrated experience architecting ML/perception systems for safety-critical or safety-rated contexts — human detection, functional safety, automotive or robotics or a comparable regulated domain
  • Deep expertise in deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation, with strong intuition for where these approaches break down in unpredictable, real-world conditions
  • Experience making system-level tradeoffs across sensing modalities, redundancy, and compute constraints on embedded/real-time hardware
  • A track record of setting technical direction at an organization level
  • Publications in your field are a plus (CVPR, ICCV, RSS, ICRA preferred)
Nice to Haves
  • Direct experience supporting a safety case or certification submission
  • Experience architecting redundant or diverse sensing systems for safety-rated perception
  • Experience architecting perception systems for humanoid or legged robots specifically
  • Experience representing technical architecture to regulators, third-party certifiers, or safety auditors
  • Substantial experience with failure mode analysis (FMEA), hazard analysis, and safety case strategy for autonomous or robotic systems

Location

This is a remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Base Salary Range
$238,000—$372,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies.  We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page.  If you are represented by a third party, your application may not be considered.  To ensure full consideration, please apply directly.