ZipRecruiter

Log In

1

Senior Machine Learning Engineer Jobs in Pennsylvania

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... engineers Qualifications * U.S. Citizenship is required * Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills:

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... engineers Qualifications * U.S. Citizenship is required * Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills:

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Pennsylvania

Senior Machine Learning Engineer information

See Pennsylvania salary details

$59.6K

$126.9K

$183.9K

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

As of Jul 17, 2026, the average yearly pay for senior machine learning engineer in Pennsylvania is $126,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $143,800.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Pennsylvania? The most popular types of Machine Learning Engineer jobs in Pennsylvania are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Pennsylvania? For Senior Machine Learning Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Pennsylvania look for? The top searched job categories for Senior Machine Learning Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Senior Machine Learning Engineer jobs? Cities in Pennsylvania with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Pennsylvania as of July 2026, with employment types broken down into 85% Full Time, 9% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 7% Hybrid, and 8% Remote job distribution, with an average salary of $126,861 per year, or $61 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Air

Pittsburgh, PA • On-site

$118K - $156K/yr

Other

Posted 8 hours ago

Job description

Company Description
Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.
Job Description
We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with automation and intelligence that helps Air end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop a wide range of solutions that transform natural language data into useful features for classification algorithms, as well as implement the latest technology to improve user search functionality. 
 
In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed models and solving problems in an ambiguous space. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. 
 
This role is a full-time position located out of our office in Pittsburgh, PA. 
 
This role may require up to 10% travel
Scope of Responsibilities
  • Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform
  • Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods
  • Ability to work with taxonomy experts to create and validate dataset annotation
  • Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features
  • implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Air Enterprise Readiness platform to enhance user experience.
  • Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system
  • Establish meaningful criteria for evaluating algorithm performance and suitabilityImplement working, scalable, production-ready models and code
  • Keep up to date with Machine Learning best practices and evolving open-source frameworks
  • Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
  • Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers
Qualifications
  • U.S. Citizenship is required
  • Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field
Required Skills: 
  • Minimum 3 years experience with hands-on development of NLP models
  • In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling
  • Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models
  • Advanced software skills in Python
  • Advanced ability in forming SQL queries
  • A strong desire to learn, investigate, and implement cutting-edge technologies
  • Ability to work collaboratively throughout the design process.

Desired Skills: 

  • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • Experience in deploying ML models in Kubernetes environments
  • Experience developing custom training sets for large language models
  • Experience productionizing transformer-based models
We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.
 
Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Apply