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Machine Learning Jobs in Easton, PA (NOW HIRING)

Project Manager, AI and Data Science

Pipersville, PA · Hybrid

$52.75 - $71.25/hr

On the platform side, you will work across AWS services to support building Machine Learning and Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management ...

Machine Operator - 2nd Shift

Pipersville, PA · On-site

$17.25 - $20.75/hr

No previous embroidery machine experience is required ... If you're dependable, comfortable learning new technology, enjoy hands-on work, and take pride in ...

Machine Operator - 1st Shift

Pipersville, PA · On-site

$17.25 - $20.75/hr

No previous embroidery machine experience is required ... If you're dependable, comfortable learning new technology, enjoy hands-on work, and take pride in ...

AI, Machine Learning & Advanced Analytics Use Cases * Identify and prioritize AI and advanced analytics use cases, including: * Predictive risk scoring and underwriting triage models * Price ...

AI, Machine Learning & Advanced Analytics Use Cases * Identify and prioritize AI and advanced analytics use cases, including: * Predictive risk scoring and underwriting triage models * Price ...

Showing results 41-60

Machine Learning information

See Easton, PA salary details

$24.2K

$40.4K

$83.5K

How much do machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning in Easton, PA is $40,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,800.00 and $43,700.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Easton, PA?

The most popular types of Machine Learning jobs in Easton, PA are:

What cities near Easton, PA are hiring for Machine Learning jobs?

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

Infographic showing various Machine Learning 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 $40,416 per year, or $19.4 per hour.

Project Manager, AI and Data Science

Tyndale

Pipersville, PA • Hybrid

$52.75 - $71.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Overview

Tyndale is scaling its AI and Data Science capabilities to improve safety, customer experience, and operational efficiency across our Flame-Resistant clothing business. We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI, Scribe, and similar tools.

You will manage end to end delivery for Data Science projects on AWS and for enterprise SaaS AI rollouts, driving both technical execution and business adoption. On the platform side, you will work across AWS services to support building Machine Learning and Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement of adoption and business value.

HYBRID/REMOTE: Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely. To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).

About Tyndale 

The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector - including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We're a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We're the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.

Responsibilities
  • Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews, and retros; coach team members on Agile practices and remove impediments.
  • Manage a backlog for Data Science and AI platform work in Jira.
  • 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 AI, Scribe): manage pilots, enterprise rollout plans, communications, training, and change management to drive adoption and safe use.
  • Own project scope, schedule, and budget tracking for assigned initiatives, including dependency management, change control, and stakeholder communication.
  • Maintain an active risk and issue log; drive mitigations and escalations that protect delivery commitments and compliance requirements.
  • Define and track success metrics such as sprint velocity, on time delivery, escaped defects, model reproducibility, data quality SLAs, SaaS AI adoption rates, and stakeholder satisfaction.
  • Support vendor management activities for SaaS AI and AWS partners, including SOWs, renewals, and contract performance.
  • Ensure high quality documentation for requirements, test plans, runbooks, model cards, governance artifacts, and change decisions.
  • Support training, UAT, and enablement to help business teams adopt AI driven workflows and tools.
Qualifications
  • Minimum of 5 years of professional project management experience in technology, analytics, or data driven environments.
  • Bachelor's Degree required.
  • PMP certification required.
  • Proven experience delivering Data Science or machine learning projects, including coordination of data ingestion, feature engineering, and model deployment.
  • Experience managing SaaS AI product implementations such as ChatGPT Enterprise, Slack AI, Scribe, Veo 3, or similar tools, with a clear focus on change management and user adoption.
  • Proficiency with Agile delivery tools (Jira / Confluence).
  • Excellent written and verbal communication skills, with a track record of concise, executive ready reporting.

Preferred qualifications

  • Scrum Master certification (CSM, PSM, or equivalent) strongly preferred.
  • Familiarity with statistics, analytics, and Data Science concepts.
  • Experience defining and maintaining KPI dashboards for AI and data initiatives.

 

Benefits

  • Health & Wellness: Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
  • Work-Life Balance: Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.
  • Financial Compensation: Competitive salary, 401(k) with matching, and bonus opportunities.
  • Career Growth & Development: Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.
  • Culture & Perks: Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.

 

Qualified candidates are encouraged to apply on our website, www.tyndaleusa.com/careers.

E.O.E

#LI-SP1 #LI-Hybrid

Employment Type: OTHER