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Machine Learning Software Engineer Jobs in Pittsburgh, PA

Qeexo, Co.

Software Engineers

Pittsburgh, PA

$140K/yr

The Software Engineer supports the development, deployment, and scaling of Python-based backend services for a distributed, cloud-hosted embedded machine learning platform, requiring foundational ...

Qeexo, Co.

Software Engineers

Pittsburgh, PA

$140K/yr

The Software Engineer supports the development, deployment, and scaling of Python-based backend services for a distributed, cloud-hosted embedded machine learning platform, requiring foundational ...

Motional

Staff Machine Learning Engineer

Pittsburgh, PA · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... strong software engineering fundamentals (system design, CI/CD, containerization) * Broad ML ...

CGI

Machine Learning Operations Engineer

Pittsburgh, PA

$62K - $139K/yr

Machine Learning Operations Engineer We are seeking an experienced MLOps Engineer with strong ... Required qualifications to be successful in this role include: * 6+ years of experience in software ...

New

Motional

Staff Machine Learning Engineer

Pittsburgh, PA · On-site +1

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... strong software engineering fundamentals (system design, CI/CD, containerization) * Broad ML ...

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

Machine Learning Software Engineer information

See Pittsburgh, PA salary details

$61.6K

$143.2K

$199.5K

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

As of Jun 9, 2026, the average yearly pay for machine learning software engineer in Pittsburgh, PA is $143,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $168,000.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

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:
What are popular job titles related to Machine Learning Software Engineer jobs in Pittsburgh, PA? For Machine Learning Software Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Software Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Machine Learning Software Engineer jobs in Pittsburgh, PA are:
Machine Learning Software Engineer jobs near you

Software Engineer, AI Training and Infrastructure

Skild AI

Pittsburgh, PA • On-site

$100K - $300K/yr

Full-time

Posted 19 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 looking for a Software Engineer to work at the forefront of developing and optimizing the software infrastructure and tools necessary for training cutting-edge AI models. You will focus on building robust, scalable, and efficient training pipelines and frameworks that support the entire machine learning lifecycle, from data preparation to model deployment. You will collaborate with researchers and machine learning engineers to ensure seamless integration and operation of training systems, pushing the boundaries of what AI can achieve in real-world robotics applications. You will explore new ways to efficiently make use of many types of data in our training pipeline.
Responsibilities
  • Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models.
  • Optimize training processes for performance and resource utilization, ensuring scalability and reliability.
  • Collaborate with researchers and machine learning engineers to integrate state-of-the-art algorithms and techniques into training pipelines.
  • Monitor and analyze training, identifying bottlenecks and proposing solutions to improve efficiency and performance.
  • Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Minimum of 3 years of industry experience.
  • Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Strong background in distributed computing, parallel processing techniques, handling large-scale datasets and data preprocessing.
  • Deep understanding of state-of-the-art machine learning techniques and models.
  • Experience with cloud-based training environments (AWS, Google Cloud, Azure).
  • Experience in developing and maintaining software tooling and infrastructure for machine learning.
  • Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
  • Experience with continuous integration and automated testing frameworks.

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

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