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Machine Learning Engineer Opt Jobs in Pittsburgh, PA

Skild AI

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these ... Position Overview We are seeking a versatile Robotics Software Engineer to develop and implement ...

Palnar

Python Application Engineer

Pittsburgh, PA · On-site

Also can accept OPT EAD candidate with current VISA end date past 4/2024 - One project is aFederal ... and machine learning space good in finance - Pittsburgh and Lake Mary are available office ...

Duolingo

Senior AI Research Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

The ideal candidate will have a proven track record as an AI research engineer, with experience across various machine learning techniques including large language models, speech models, benchmarking ...

Actalent

Software Perception Engineer

Pittsburgh, PA · On-site

Software Perception Engineer The Software Perception Engineer designs, implements, and tests ... This position combines hands-on software development, machine learning workflows, and rigorous ...

Deloitte

Senior AI Engineer - SFL Scientific

Pittsburgh, PA · On-site

$101K - $139K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Pittsburgh, PA

Machine Learning Engineer Opt information

See Pittsburgh, PA salary details

$30.6K

$125K

$187.9K

How much do machine learning engineer opt jobs pay per year?

As of Aug 31, 2026, the average yearly pay for machine learning engineer opt in Pittsburgh, PA is $125,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $150,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Pittsburgh, PA?

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

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

The top searched job categories for Machine Learning Engineer Opt jobs in Pittsburgh, PA are:

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Cities near Pittsburgh, PA with the most Machine Learning Engineer Opt job openings:

Machine Learning Engineer Opt jobs near you

Robotics Software Engineer

Skild AI

Pittsburgh, PA • On-site

$100K - $300K/yr

Full-time

Re-posted 12 days ago

Job description

Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are seeking a versatile Robotics Software Engineer to develop and implement software solutions for our robotic systems. Your work will entail building systems for navigation, planning and controls, SLAM, manipulation, and/or perception. You should be comfortable working with both general-purpose and specialized robotics applications. This role involves close collaboration with research scientists and machine learning engineers to integrate state-of-the-art machine learning models into our robots.
Responsibilities
  • Design, implement, and test software to bring our robots to life, focusing on navigation, planning and control, SLAM, perception, manipulation, and/or high-level behaviors.
  • Write and maintain production-level C++ and Python code for our robotic platforms.
  • Collaborate with machine learning engineers and researchers to deploy state-of-the-art models on our robots.
  • Work with deployment and test engineers to deploy and monitor robotic solutions at various sites, ensuring robust performance and reliability.
  • Continuously improve and optimize robotic software for performance, reliability, and scalability.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Proficiency developing in C++ or Python.
  • Prior experience developing and deploying software on real robots.
  • Strong systems-level understanding of the various software modules and their interfaces in a robotic application Strong technical experience in at least one of the following: navigation, motion planning and controls, SLAM, perception/computer vision, or manipulation.
  • Experience with ROS/ROS2 or other robotics middleware platforms.
  • Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
  • Familiarity with machine learning integration and deployment in robotic systems.

Base Salary Range
$100,000-$300,000 USD

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