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Machine Learning Software Engineer Jobs in Pittsburgh, PA

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the ... Strong background in algorithms, data structures, and software engineering principles. * Experience ...

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 ...

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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:

Senior Software Engineer, Infrastructure

Skild AI

Pittsburgh, PA

$100K - $300K/yr

Other

Posted 19 days ago


Job description

Senior Software Engineer, Infrastructure

Pittsburgh, San Francisco, Bengaluru

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 Senior Software Engineer to enhance the performance, reliability, and maintainability of our cutting-edge robotics systems in deployment. You will design, implement, and maintain software systems for deployment in real-world robotic products. This role involves leading discussions and collaborating with machine learning, deployment, test, and security engineers to ensure seamless integration of our machine learning models into practical applications. You will also define technical roadmaps and drive product and system architecture direction.

Responsibilities
  • Architect, build, and maintain deployment software infrastructure and back-end services (e.g., model training infrastructure, AI developer tools, metrics dashboards).
  • Lead teams to develop reliable software systems with robust testing, metrics, and logging mechanisms.
  • Write and review code, develop documentation, create capacity plans, and debug on robot hardware.
  • Collaborate with cross-functional teams to define technical roadmaps and drive the direction of product and system architecture.
  • Share an on-call rotation with the engineering team to ensure system reliability and quick issue resolution.
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 developing higher-level languages (e.g. Python, C++, or Java).
  • Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems.
  • Knowledge of Linux OS fundamentals, memory management, and kernel.
  • Experience learning software, frameworks, and APIs.
  • Experience with enterprise security.
  • Previous extensive work experience as a: Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator, Site Reliability Engineer (SRE), or similar.

Base Salary Range

$100,000 - $300,000 USD