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

Ross Technology Corporation

Machine Operator

Leola, PA · On-site

$19.50/hr

We engineer and manufacture structural steel racking systems to safely meet nearly any weight ... learning new things once tasks assigned have been mastered. * Ability to read and understand ...

Varsity Tutors

Data Science Tutor

Harrisburg, PA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Python Tutor

Harrisburg, PA · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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

Machine Learning Engineer information

See York, PA salary details

$31K

$126.7K

$190.4K

How much do machine learning engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning engineer 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 are Machine Learning Engineers?

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.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What cities near York, PA are hiring for Machine Learning Engineer jobs? Cities near York, PA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Vision Guided Robotics Intern

Vision Guided Robotics Intern

WESTFALIA TECHNOLOGIES INC

York, PA • On-site

$14.75 - $19.75/hr

Other

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

Westfalia Technologies, Inc. is seeking a motivated Vision Guided Robotics Intern to join our Research and Development team. This internship provides hands-on experience in developing intelligent software systems that enable robotic platforms to operate in industrial environments.                         

The intern will support the application of artificial intelligence, computer vision, and robotics technologies to enhance automation capabilities and contribute to vision-guided robotic systems used in material handling and warehouse automation. This role is ideal for students or recent graduates looking to apply academic knowledge to real-world robotics challenges.

Location Requirements: Must live within a 50 mile radius of Westfalia Technologies Inc Headquarters and within the following states - DE, MD, NJ, PA.

Job Functions:
  • Assist in developing and testing software solutions for robotics and automation applications.
  • Support the team in applying AI, machine learning, and computer vision techniques to solve engineering challenges.
  • Contribute to the development and improvement of perception systems for robotic platforms.
  • Help monitor and evaluate system performance, including testing models and analyzing results.
  • Collaborate with cross-functional teams, including software and engineering, on project-based work.
  • Document project work, findings, and progress for internal stakeholders.
  • Stay current on emerging technologies and best practices in AI, robotics, and computer vision.
  • Protect confidential and proprietary information.
  • Perform other related duties as assigned
Required Skills and Abilities:
  • Basic to intermediate programming experience in Python and/or C++ (coursework or project-based experience acceptable).
  • Familiarity with robotics concepts and frameworks such as ROS2 (through coursework or projects preferred).
  • Exposure to machine learning frameworks such as PyTorch or TensorFlow.
  • Basic understanding of computer vision concepts and tools such as OpenCV.
  • Familiarity with concepts such as image processing, object detection, or neural networks (e.g., CNNs).
  • Exposure to simulation tools (e.g., Gazebo, Unity, or similar) is a plus.
  • Familiarity with Git or version control systems is preferred.
  • Strong problem-solving skills and willingness to learn in a fast-paced environment.
  • Ability to communicate technical concepts clearly, both verbally and in writing.

Desired Skills:

  • Exposure to mechanical, electrical, or controls systems through coursework or projects
  • Interest in automation, robotics, or product development
Education and Experience:
  • Currently pursuing a Bachelor’s, Master’s degree, or PHD in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Relevant coursework, academic projects, or research experience in robotics, AI, or computer vision is strongly preferred.
  • Prior internship or hands-on project experience is a plus but not required.
 Physical Requirements:
  • Ability to work in an office, lab, and/or light industrial environment
  • Ability to stand, walk, and occasionally lift or move light equipment as needed
  • Ability to use a computer and standard office equipment for extended periods
  • Ability to communicate effectively in person, over the phone, and via virtual platforms.
  • Ability to occasionally lift and carry up to 15 pounds (e.g., laptop, equipment, or materials).
Travel Requirements:
  • In-office at the York, PA facility will be required.
  • This position requires little to no travel (0-5%) outside of the standard commute.

Temporary Housing Stipend: A temporary taxable housing stipend may be available for eligible interns whose permanent residence is more than 75 miles from Westfalia’s York, PA location. If offered, the stipend will be paid through payroll, subject to applicable taxes and withholdings, and will apply only during the approved internship period. Stipend eligibility, amount, and duration will be confirmed in writing as part of the internship offer.

Work Authorization: Candidates must be authorized to work in the United States without current or future sponsorship.

Why Work for Westfalia Technologies, Inc.?  
Our culture can be defined as one of progression and flexibility. Over the years, we have learned it is not only about pay or job title, but more importantly, the relationships and benefits that keep our employees happy and engaged! 

  • Competitive Salary 
  • Medical, Dental, and Vision Coverage 
  • 401K and match options  
  • Educational Assistance Reimbursement  
  • Wellness Program 
  • Healthy Living Reimbursement 
  • Paid Parental Leave  
  • And more!  

Check out our Careers page for more information regarding our culture and additional benefits at https://www.westfaliausa.com/company/careers!  

Westfalia Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, or service in the military. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. 

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