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Machine Learning Engineer Jobs in Washington, PA

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

... Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the ... Machine Learning, or a related field (strong industry track record considered in lieu of advanced ...

Varsity Tutors

Machine Learning Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Apple

Machine Learning Engineer

Pittsburgh, PA

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the chance to be part of an ML innovation organization that creates a wide range of impactful Apple ...

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 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Washington, PA

Machine Learning Engineer information

See Washington, PA salary details

$29.3K

$119.7K

$179.8K

How much do machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning engineer in Washington, PA is $119,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $144,000.00 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 and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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 strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Washington, PA? The most popular types of Machine Learning Engineer jobs in Washington, PA are:
What are popular job titles related to Machine Learning Engineer jobs in Washington, PA? For Machine Learning Engineer jobs in Washington, PA, the most frequently searched job titles are:
What cities near Washington, PA are hiring for Machine Learning Engineer jobs? Cities near Washington, PA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Washington, PA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,660 per year, or $57.5 per hour.

Fellow - Autonomy (Distinguished Engineer)

Motional

Pittsburgh, PA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Motional is a driverless technology company focused on making autonomous vehicles a safe, reliable, and accessible reality. They are seeking a distinguished Machine Learning Engineer to join their Autonomy team, where the candidate will develop key features for their autonomous driving platform and apply machine learning to various prediction, planning, and control problems.
Responsibilities:
• Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for Motional’s Autonomous Vehicle products.
• Leading, Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data.
• Partnering with system software engineering specialists to ship industrial strength ML models.
• Communicating and collaborating with multi-functional teams.
Qualifications:
Required:
• BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience)
• 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications
• Deep understanding of large language models (LLM) and transformers
• Hands on experience building large scale production ML systems and deploying them at scale
• Excellent leadership and track record for innovation to help us build the next generation of our ML based planning solutions
• Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.)
• Excellent understanding of the mathematical foundations of machine learning and deep learning
• Hands-on experience and deep knowledge in machine learning
• Understanding of deep neural networks, autonomous vehicles, and domain adaptation
• Strong research, SW development, communication, interpersonal, and analytical skills
Preferred:
• Prior experience as a ML planning lead
• Proven publication record in ML for planning, vision, or related fields
• Prior experience building and deploying vision language action or chain of thought models
Company:
Motional offers an autonomous driving platform for robotaxi providers, fleet operators, and automotive manufacturers. It is a sub-organization of Hyundai Motor Group. Founded in 2020, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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