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Associate Machine Learning Jobs in Pen Argyl, PA

Work with over 130,000 like-minded and talented Associates, all guided by The Five Principles ... Best-in-class learning and development support from day one, including access to our in-house Mars ...

Work with over 130,000 like-minded and talented Associates, all guided by The Five Principles ... Best-in-class learning and development support from day one, including access to our in-house Mars ...

Work with over 130,000 like-minded and talented Associates, all guided by The Five Principles. Join ... Best-in-class learning and development support from day one, including access to our in-house Mars ...

New

Work with over 130,000 like-minded and talented Associates, all guided by The Five Principles. Join ... Best-in-class learning and development support from day one, including access to our in-house Mars ...

New

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

Sales Associate

Easton, PA · On-site

$13.75 - $18.75/hr

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

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Associate Machine Learning information

See Pen Argyl, PA salary details

$28.5K

$120.6K

$285K

How much do associate machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for associate machine learning in Pen Argyl, PA is $120,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,700.00 and $183,100.00 per year, depending on experience, location, and employer.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What cities near Pen Argyl, PA are hiring for Associate Machine Learning jobs?

Cities near Pen Argyl, PA with the most Associate Machine Learning job openings:

Machine Operator (Day Shift)

Mars, Incorporated

Hackettstown, NJ • On-site

$25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Mars Inc. rating

7.7

Company rating: 7.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

124th of 443 rated food and drinks producers


Job description

Job Description:
Mars Snacking- Machine Operator (Day Shift)- Hackettstown, NJ
  • Starting rate: $25+/hour (based on experience)
  • This site manufactures chocolate and peanut M&Ms

Shift Schedule:
  • Shift: 1st Shift (Days)
  • Schedule: 2-2-3 (rotating)
  • Hours: 6:30 AM - 7:00 PM (Day Shift)

Description of Role
Machine Operators (Team Members) are experts in operating equipment, machinery, and systems within their assigned area. They are responsible for ensuring the efficient production of high-quality products, performing machine operations and changeovers, and supporting the training of other team members.
What are we looking for?
Minimum Requirements:
  • High School Diploma, GED or equivalent education
  • 1+ years of experience in a manufacturing environment
  • Proficient in using computers and PC software, including Microsoft Office and email

Physical Requirements:
  • Can perform the essential functions of the job with or without reasonable accommodation.
  • Frequent lifting/carrying (10-50 lbs.) and pushing/pulling (50-300 lbs.)
  • Frequent bending, stooping, twisting, handling, and gripping.
  • Ability to work at elevated heights, climb stairs, lean over equipment, and operate in confined spaces.
  • Ability to stand and work on feet for extended periods, with shifts lasting 12 hours
  • Capable of working in hot, cold and wet conditions
  • Proficient in understanding, communicating, reading, and writing in English.
  • This is a Peanut facility

Preferred Qualifications:
  • Technical degree or certification
  • 2+ years of experience in a manufacturing setting operating a variety of machines
  • Ability to operate a forklift
  • OSHA certification
  • Experience with SAP

What will be your Key Responsibilities?
  • Assess and operate manufacturing equipment, performing routine repairs, adjustments, and troubleshooting as needed.
  • Identify and resolve problems to their root cause, taking appropriate corrective actions.
  • Collaborate with Maintenance to perform and complete equipment preventative maintenance (PM).
  • Conduct and document quality control (QC) tasks, including metal checks, inspection of date codes, item numbers, dump logs, and waste performance.
  • Maintain detailed and accurate logbooks, ensuring all shift support documentation is completed safely and in compliance with quality standards.
  • Perform any additional ad hoc tasks as assigned.

Total Rewards
  • Starting Pay: Based on experience starting at $25+/hour
  • Annual Bonus and Merit Increases
  • Benefits Starting Day One:
  • Medical, Vision, and Dental
  • Up to 6% 401(k) match
  • Vacation time
  • Tuition reimbursement
  • Short/Long-Term Disability
  • 18 weeks parental leave

What can you expect from Mars?
  • Work with over 130,000 like-minded and talented Associates, all guided by The Five Principles.
  • Join a purpose driven company, where we're striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry competitive salary and benefits package, including company bonus

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