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

Manufacturing Engineer

Budd Lake, NJ ยท On-site

$80 - $100/hr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

New

Manufacturing Engineer

Budd Lake, NJ ยท On-site

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Manufacturing Engineer

Budd Lake, NJ

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Manufacturing Engineer

Budd Lake, NJ

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Project Manager, AI and Data Science

Pipersville, PA ยท Hybrid

$52.75 - $71.25/hr

Coordinate with Data Scientists, Data Engineers, and ML Engineers building Machine Learning models and Generative AI products. * Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack ...

Overview Lutron is seeking a Lead Data Engineer in Coopersburg, PA or Philadelphia, PA to help ... Build and maintain infrastructure to host, manage, and automate machine learning models and ...

Sr. AI Developer w/ Reactjs

Warren, NJ ยท On-site

$56.50 - $74.75/hr

Sr. AI Developer w/ Reactjs Location: Warren, NJ (Onsite) Position type: W2 contract. Job Overview ... Develop and implement AI and machine learning models using Python and related frameworks. * Design ...

Machine Operator

Tatamy, PA

$16.25 - $19.25/hr

Ongoing training and opportunities for continued learning * Strong belief in internal growth and ... proudly design, engineer, and manufacture robust systems that help companies optimize space ...

Data Science Tutor

Allentown, PA ยท Remote

$18 - $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 ...

Showing results 21-40

Machine Learning Engineer information

See Easton, PA salary details

$29.9K

$122.2K

$183.7K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Easton, PA is $122,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $147,100.00 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 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 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 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 cities near Easton, PA are hiring for Machine Learning Engineer jobs?

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

Infographic showing various Machine Learning Engineer job openings in Easton, PA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $122,216 per year, or $58.8 per hour.

Manufacturing Engineer

II-VI UK, Ltd.

Budd Lake, NJ โ€ข On-site

$80 - $100/hr

Other

Posted yesterday

New


Job description

Primary Duties & Responsibilities
  • Drive manufacturing process improvements for Budd Lake production operations focused on reducing manufacturing variance, absorption variance, and product cost.
  • Analyze production data, routings, labor standards, yields, scrap, rework, and capacity utilization to identify and execute margin improvement opportunities.
  • Lead cycle time reduction, throughput improvement, and labor content optimization projects for key product families including Sapphire and YVO4.
  • Develop, maintain, and improve process documentation including work instructions, routers, travelers, BOMs, process flows, capacity models, and PFMEAs.
  • Evaluate and improve material utilization, WIP flow, inventory turns, and production planning alignment to reduce future excess and obsolete inventory exposure.
  • Design, qualify, and implement tooling, fixtures, automation, robotics, and errorโ€‘proofing solutions to improve safety, consistency, yield, and scalability.
  • Apply AIโ€‘enabled tools, analytics, dashboards, and predictive methods to improve process visibility, anomaly detection, standard work adherence, and decision speed.
  • Use Lean, Six Sigma, SPC, DOE, root cause analysis, and process capability methods to stabilize processes and deliver measurable results.
  • Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve routing accuracy, labor absorption, cost models, and production execution.
  • Support investigation and resolution of yield losses, scrap, rework, MRB issues, and process escapes with timely corrective and preventive actions.
  • Lead validation, qualification, and implementation of new or revised manufacturing processes, equipment, tooling, and control plans.
  • Identify, justify, and manage capital and continuous improvement projects that improve throughput, capacity, quality, and gross margin performance.
  • Train production personnel on updated processes, automated systems, robotics work cells, AIโ€‘enabled tools, and standard work requirements.
Education & Experience
  • BS in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, Materials Science, Optical Engineering, or other relevant technical degree.
  • 5+ years' experience in manufacturing engineering, process engineering, industrial engineering, or production operations within a precision manufacturing environment.
  • Demonstrated experience reducing manufacturing cost through cycle time reduction, yield improvement, labor efficiency, material utilization, scrap reduction, and routing accuracy.
  • Practical knowledge of Lean Manufacturing, Six Sigma, SPC, DOE, FMEA/PFMEA, process capability, root cause analysis, and corrective action methods.
  • Experience developing and maintaining manufacturing documentation including routers, travelers, work instructions, BOMs, process flows, standard labor assumptions, and control plans.
  • Working knowledge of automation, robotics, machine integration, data acquisition, and manufacturing systems used to improve process repeatability and throughput.
  • Proficiency with Microsoft Office tools and data analysis/reporting platforms; ability to interpret ERP/MRP, production, quality, and cost data to drive action.
Skills
  • Experience supporting optical, crystal, ceramic, sapphire, YVO4, or other precision component manufacturing processes.
  • Handsโ€‘on experience implementing automation, robotics, vision systems, AIโ€‘enabled analytics, or machine learning tools in a manufacturing environment.
  • Lean Six Sigma Green Belt/Black Belt, SME, ASQ, or equivalent continuous improvement certification.
  • Experience building cost models, capacity models, labor standards, OEE/throughput dashboards, or variance reduction scorecards.
  • Strong crossโ€‘functional leadership skills with ability to influence Operations, Quality, Planning, Engineering, Supply Chain, and Finance without direct authority.
  • Excellent problemโ€‘solving, communication, organization, and followโ€‘through skills with a bias toward measurable business results.
Physical Requirements
  • Ability to regularly walk throughout manufacturing, assembly, test, coating, polishing, and warehouse areas.
  • Ability to stand for extended periods (up to 4โ€“8 hours per day) while supporting production activities, process observations, and troubleshooting efforts.
  • Ability to occasionally lift and carry materials, tooling, fixtures, and equipment weighing up to 25 pounds.
  • Ability to bend, stoop, reach, kneel, and climb ladders or step stools as required to support manufacturing equipment and process improvements.
  • Ability to use standard office equipment, including computers, monitors, and engineering software for extended periods.
  • Ability to perform detailed visual inspections and review technical data, drawings, procedures, and manufacturing documentation.
  • Ability to work in cleanroom, laboratory, and manufacturing environments while wearing required personal protective equipment (PPE), including safety glasses, gloves, smocks, and protective footwear.
  • Ability to support manufacturing activities in environments that may include moving machinery, vibration, noise, and exposure to chemicals used in optical manufacturing processes while following established safety procedures.
  • Ability to occasionally work flexible hours to support production needs, equipment installations, process qualifications, and continuous improvement initiatives.
Safety Requirements

All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.

Quality and Environmental Responsibilities

Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.

Culture Commitment

Ensure adherence to companyโ€™s values (ICARE) in all aspects of your position at Coherent Corp.:

I - Integrity โ€“ Create an Environment of Trust

C - Collaboration โ€“ Innovate Through the Sharing of Ideas

A - Accountability โ€“ Own the Process and the Outcome

R - Respect โ€“ Recognize the Value in Everyone

E - Enthusiasm โ€“ Find a Sense of Purpose in Work

Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

If you need assistance or an accommodation due to a disability, you may contact us at talentacquisition@coherent.com.

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