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Machine Learning Engineer Opt Jobs in York, PA (NOW HIRING)

The Dixon Group

Screw Machinist

Landisville, PA · On-site

Participate actively in our internal Screw Machine Training program with dedicated one-on-one ... Familiarity with interpreting basic engineering blueprints or schematics. * Basic understanding of ...

Dixon

Screw Machinist

Landisville, PA

Participate actively in our internal Screw Machine Training program with dedicated one-on-one ... Familiarity with interpreting basic engineering blueprints or schematics. * Basic understanding of ...

The Dixon Group

Screw Machinist

Landisville, PA · On-site

Participate actively in our internal Screw Machine Training program with dedicated one-on-one ... Familiarity with interpreting basic engineering blueprints or schematics. * Basic understanding of ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in York, PA

Machine Learning Engineer Opt information

See York, PA salary details

$31K

$126.7K

$190.4K

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

As of Sep 4, 2026, the average yearly pay for machine learning engineer opt in York, PA is $126,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $152,500.00 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 into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in York, PA?

For Machine Learning Engineer Opt jobs in York, PA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Opt jobs in York, PA look for?

The top searched job categories for Machine Learning Engineer Opt jobs in York, PA are:

What cities near York, PA are hiring for Machine Learning Engineer Opt jobs?

Cities near York, PA with the most Machine Learning Engineer Opt job openings:

Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in York, PA as of August 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $126,730 per year, or $60.9 per hour.

Assistant Professor of Electrical and Computer Engineering

York College of Pennsylvania

York, PA • On-site

Full-time

Posted 18 days ago

Job description

Position Summary Job Description: The Electrical and Computer Engineering program at York College of Pennsylvania invites applications for a tenure track Assistant Professor of Electrical and Computer Engineering beginning in either January or August 2027, with ongoing in-person teaching assignments in the fall and spring terms each year. Our ABET-accredited Electrical and Computer Engineering program has roughly 100 undergraduate students, five full-time faculty, and three supporting staff members. Our hands-on program is known for small class sizes and extensive student/faculty interaction.

Students participate in design/build/test projects throughout the curriculum, culminating in a year-long Capstone Design project. Nearly all of our instruction occurs in versatile state-of-the-art lecture/laboratory spaces. Our two-semester co-operative education requirement is a key component of our overall academic program, and is a substantive expression of our focus on pragmatic applications of concepts and skills embedded throughout our curriculum.

Essential Functions For this position, we seek candidates that are eager to teach undergraduates in a student-centered, project-based learning environment. Applicants with a desire to utilize their knowledge and skills in mentoring undergraduates, conducting research with undergraduates, and teaching introductory electrical and computer engineering courses should apply. The successful candidate will teach a variety of undergraduate electrical and computer engineering related courses, including computer architecture, analog circuits, microprocessor and embedded systems, signal processing, and robotics.

Other responsibilities may include advising students on independent study and capstone design projects, as well as teaching special topics in an area of expertise. The successful candidate will be active in curriculum and laboratory development and scholarly research. Experience and Education Required An earned Ph.D

in Computer or Electrical Engineering or a closely related field by the start date of the appointment is required. ABD will be considered. Required Skills and Qualifications Candidates are expected to demonstrate the potential for outstanding teaching and advising, ongoing college service, professional development, developing undergraduate courses, and working with industry and undergraduate students in applied research.

Further qualifications include the interest and ability to teach a wide range of undergraduate engineering courses. Top candidates will demonstrate the potential for outstanding teaching and mentoring of undergraduates, and those candidates with teaching or industry experience are highly valued. Strong communication skills, the ability to work with undergraduate students, and ability to teach in a project-based setting are essential.

Those candidates with research interests in embedded systems, robotics and autonomous systems, and machine learning or artificial intelligence are preferred. Additional Information York College of Pennsylvania is an Equal Opportunity Employer and Non-Discriminatory. For a copy of York College's Annual Security Report, you may contact the Office of Campus Safety or visit the website: Annual Security Report.

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