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Senior Machine Learning Engineer Jobs in Blanchard, PA

AVTC Group

Sr Software Engineer

State College, PA · On-site +1

$119K - $157K/yr

... the Senior ML/Data Science Software Engineering role, you will design, develop, and test AI/ML ... in Machine Learning and Data Science. • Experience working with large datasets and performing ...

AVTC Group

Software Eningeer

State College, PA · On-site

... Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a ... in Machine Learning and Data Science. • Experience working with large datasets and performing ...

Emerson

Senior Proposal Engineer

Woodward, PA · On-site

$98K - $135K/yr

For This Role, You Will Need: * Background in Mechanical Engineering or a related field ... learning how your experience can contribute to our continued success. Emerson is an Equal ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Blanchard, PA

Senior Machine Learning Engineer information

See Blanchard, PA salary details

$55K

$117K

$169.6K

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

As of Sep 8, 2026, the average yearly pay for senior machine learning engineer in Blanchard, PA is $117,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $132,700.00 per year, depending on experience, location, and employer.

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 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 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 cities near Blanchard, PA are hiring for Senior Machine Learning Engineer jobs?

Cities near Blanchard, PA 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 Blanchard, PA as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,002 per year, or $56.3 per hour.

Sr Software Engineer

AVTC Group

State College, PA • On-site, Remote

$119K - $157K/yr

Full-time

Medical, Dental, Vision

Re-posted 7 days ago

Key responsibilities

  • Design, develop, and test AI, ML, Java, and Python-based applications and software components for satellite ground systems.

  • Collaborate with cross-functional teams to define software requirements, work with existing code, and ensure software performance, reliability, and scalability.

  • Participate in software design reviews, code reviews, and system integration activities to support project milestones.

Job description

Active TS/SCI is a must - this effort is on-site
All qualified candidates will be responded to within 24 hrs or less.
Employment type: Full Time w-2 or C2C or 1099. Depending on the type of employment we can offer benefits: including Health, Dental Vision etc...
Rate: 90-115/hr DOE and compensation type
On-Site in State College PA
In the Senior ML/Data Science Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a Linux, Agile, DevOps environment. We are at the forefront of aerospace and defense technology. Our Satellite Ground Systems Team plays a pivotal role in ensuring communication, surveillance, and defense capabilities through cutting-edge satellite systems. We invite you to be part of a team that pushes the boundaries of what's possible. Due to the security clearance requirement, this is an onsite position in our State College, PA office.
What You Will Do
•Design, develop, and maintain advanced software applications for our Satellite Ground Systems.
•Collaborate closely with systems engineers, hardware designers, and other software engineers to deliver reliable and high-performance software solutions.
•Design, implement, and test AI, ML, Java and Python based applications and software components for satellite ground systems.
•Work in parallel with legacy platform teams to eventually migrate workloads onto your pipelines.
•Collaborate with cross-functional teams to define software requirements and specifications.
•Work with previously written code and make modifications as necessary.
•Ensure software performance, reliability, and scalability.
•Participate in software design reviews, code reviews, and system integration activities.
•Contribute to the completion of program and project milestones under the specific guidance of their immediate supervisor.
•Follow established Software processes and procedures, development, documentation and maintenance/management of operations concepts, requirements (system, element, segment level), external and internal interfaces, and other software engineering work products/artifacts.
Qualifications You Must Have
•Active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
•Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and five (5) years of Software Engineering experience.
•Experience in object-oriented software design and development using Java or Python in a Linux environment.
•Experience with unit testing tools (e.g., JUnit).
•Experience in Machine Learning and Data Science.
•Experience working with large datasets and performing data analysis.
Qualifications We Prefer
•Strong analytical skills and proactive problem-solving abilities, with a deep understanding of AI/ML technologies, cloud architecture, and enterprise software.
•Security+ certification.
•Experience with Git, Jenkins, Docker, Kubernetes.
•Experience with the Atlassian Tool Suite (e.g. JIRA, Confluence, BitBucket).
•Experience with cloud computing platform (e.g. AWS or Azure).
•Experience with satellite communication systems and protocols is highly preferred.
•Familiarity with secure coding practices, especially in a defense or aerospace setting.
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