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Senior Machine Learning Engineer Jobs in Reading, PA

Johnson and Johnson

Senior Scientist, In-vivo CAR-T

Reading, PA · On-site

$72K - $99K/yr

... or machine learning can reduce experimental burden, improve robustness, or define process design ... Engineering) is required * Relevant experience in process development of viral vectors and/or LVV ...

Johnson and Johnson

Senior Scientist Omics - IMM

Reading, PA · On-site

$72K - $99K/yr

... based models, machine learning, and novel algorithmic approaches to mining biological data ... Proficient in programming and computational skills and demonstrated ability to work with a group of ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Reading, PA

Senior Machine Learning Engineer information

See Reading, PA salary details

$57.1K

$121.5K

$176.2K

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

As of Sep 4, 2026, the average yearly pay for senior machine learning engineer in Reading, PA is $121,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $137,800.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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

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

What are popular job titles related to Senior Machine Learning Engineer jobs in Reading, PA?

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

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

The top searched job categories for Senior Machine Learning Engineer jobs in Reading, PA are:

What cities near Reading, PA are hiring for Senior Machine Learning Engineer jobs?

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

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Reading, PA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,539 per year, or $58.4 per hour.

Reliability Engineer / Senior Reliability Engineer

Dart Container

Leola, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Key responsibilities

  • Develop and maintain lifecycle asset management processes for equipment and systems

  • Lead Reliability Centered Maintenance (RCM) studies and implement maintenance strategies

  • Apply FMEA, RCA, and risk analysis to reduce failures and improve equipment uptime

Dart Container rating

7.6

Company rating: 7.6 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

40th of 122 rated packaging manufacturers

Job description

Are you ready to strengthen the reliability backbone of a high-impact manufacturing operation? Leola, PA, is home to Dart's newest paper plate manufacturing facility—a growing operation that is continuing to ramp up production, expand capabilities, and meet the increasing demand for paper-based food and beverage packaging. 

As a Reliability Engineer, you will play a critical role in maximizing the performance, reliability, and availability of our manufacturing equipment, systems, and processes. In this highly visible role, you’ll use data analytics, reliability engineering principles, and structured problem-solving to identify trends, eliminate recurring failures, and drive continuous improvement across the operation.

Working closely with maintenance, production, and engineering teams, you’ll proactively analyze equipment and production data to reduce downtime, optimize maintenance strategies, and improve the lifecycle performance of critical assets—from startup through full production maturity.

This position may be filled at either the Reliability Engineer or Senior Reliability Engineer level based on the selected candidate’s experience and qualifications.

What We Offer:

  • Competitive compensation and comprehensive benefits
  • 401(k) with company match 
  • Health, dental, and vision insurance
  • Paid time off and paid holidays
  • Training and development programs to support your career growth
  • A chance to make a meaningful impact at a new Center of Excellence
  • A collaborative and safety-first culture built on innovation and integrity
What You'll Do – Results & Responsibilities:
  • Develop and maintain lifecycle asset management processes for equipment and systems
  • Lead Reliability Centered Maintenance (RCM) studies and implement maintenance strategies
  • Apply FMEA, RCA, and risk analysis to reduce failures and improve equipment uptime
  • Optimize preventive and predictive maintenance programs using performance data
  • Manage and execute moderate-size reliability projects on time and within scope
  • Review engineering designs and recommend reliability and efficiency improvements
  • Evaluate and implement reliability tools, software, and maintenance technologies
  • Create test parameters and support validation of engineering solutions
  • Drive continuous improvement in safety, quality, production, efficiency, and service
  • Ensure compliance with safety standards and GMP requirements
  • Collaborate cross-functionally and lead structured problem-solving efforts
  • Deliver measurable results aligned with Key Performance Indicators (KPIs)
 What You Bring – Competencies:
  • Strong analytical mindset with the ability to identify trends and translate data into action
  • Effective collaboration across production, maintenance, and engineering teams
  • Clear communication across all levels of the organization
  • Ability to drive continuous improvement through structured methodologies
  • Sound, data-driven decision making
  • Ownership, accountability, and reliability leadership
  • Commitment to continuous learning and professional development
Education, Experience, Knowledge, Skills, and Abilities

Reliability Engineer

  • Bachelor's degree in Engineering or a related field and three (3) years of related engineering or reliability experience, OR Associate's degree and nine (9) years of related engineering or reliability experience.
  • Experience with Preventive Maintenance (PM), Root Cause Analysis (RCA), Failure Mode and Effects Analysis (FMEA), and Reliability Centered Maintenance (RCM).
  • Knowledge of engineering principles, manufacturing processes, and data analysis.
  • Strong analytical, problem-solving, project management, and communication skills.

Senior Reliability Engineer (in addition to the above)

  • Bachelor's degree in Engineering or a related field and six (6) years of reliability engineering experience, OR Associate's degree and ten (10) years of related reliability engineering experience.
  • Demonstrated experience developing and optimizing PM, RCM, RCA, and FMEA programs.
  • Experience with CMMS (SAP preferred), predictive maintenance technologies, and reliability data analytics.
  • Proven ability to lead cross-functional initiatives, coach and mentor others, manage projects, and drive change through influence.
  • Experience in plastics extrusion, thermoforming, injection molding, paper printing, and/or paper converting manufacturing environments is preferred.
Preferred Qualifications
  • Power BI or similar data visualization experience.
  • Certified Maintenance & Reliability Professional (CMRP).
  • Six Sigma Black Belt, Lean Master, or equivalent continuous improvement certification.
  • Certifications in predictive maintenance technologies.

Overview: Dart makes everyday products that give people the freedom to enjoy the food & drinks they love, wherever they are. From to-go containers and dinnerware to tamper-evident food packaging and even the red SOLO cup, Dart products have been keeping people on the go and having fun for 65 years.  We’re a family-owned, family-focused company of 12,000 employees united by a shared set of values and dedicated to providing exceptional customer service. Headquartered in Mason, MI, with 30 locations in three countries, we’re proud of our ability to innovate, manufacture and lead the way with each new generation of quality products.

Benefits: Dart Container full-time employees enjoy great benefits, including medical, dental, vision, life insurance, 401(k) with company matching contributions, paid vacation, paid holidays, short-term disability, tuition assistance, product discounts and more.

Dart Container is a drug-free workplace.  Candidates are subject to a drug test (excluding THC*/marijuana/cannabis) and background check at the time of offer.

*THC testing ONLY when such testing is required by law.
Dart Container is an equal opportunity employer and will consider all candidates for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

https://www.dartcontainer.com/eeoaa/

If you have a disability and need an accommodation to access this website or for the application process, you should call Dart at (800) 545-3278 Ext 3370 or email us at ADArequests@dart.biz. Relay calls can be made by dialing 711 or the relay number for your state.

If you experience difficulty applying online, you may call (800) 545-3278 Ext 3390 or email us at applicationassistance@dart.biz for assistance.

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