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Senior Machine Learning Engineer Jobs in Stroudsburg, PA

Everest

AI / Machine Learning Engineering Lead

Warren, NJ · Hybrid

$180K - $220K/yr

We are looking for a talented AI Solution Engineer to join our innovative team. This role involves ... Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with ...

Varsity Tutors

Machine Learning Tutor

Allentown, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Accord Technologies Inc.

Sr. AI Developer w/ Reactjs

Warren, NJ · 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 ...

Guardianlife

Lead AI Engineer

Bethlehem, PA · On-site

$118K - $195K/yr

The position requires advanced knowledge of machine learning engineering, distributed systems, cloud infrastructure, and various AI platforms. * He collaborates cross-functionally with data ...

Guardianlife

Lead AI Engineer

Bethlehem, PA

$118K - $195K/yr

The position requires advanced knowledge of machine learning engineering, distributed systems, cloud infrastructure, and various AI platforms. * He collaborates cross-functionally with data ...

Coherent

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 ...

II-VI Incorporated

Manufacturing Engineer

Budd Lake, NJ · 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 ...

Coherent

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 ...

Coherent Corp.

Manufacturing Engineer

Budd Lake, NJ · 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 ...

Coherent

Manufacturing Engineer

Mount Olive, NJ · 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 ...

The Richmond Group

Senior Process Engineer

Allentown, PA · On-site

$102K - $132K/yr

Senior Process Engineer | Process Engineer Lead | cGMP Chemical Manufacturing | Pennsylvania We're ... Interested in learning more? Apply or message me directly for a confidential conversation.

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

Senior Machine Learning Engineer information

See Stroudsburg, PA salary details

$57.2K

$121.7K

$176.4K

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

As of Aug 11, 2026, the average yearly pay for senior machine learning engineer in Stroudsburg, PA is $121,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $137,900.00 per year, depending on experience, location, and employer.

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 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 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 cities near Stroudsburg, PA are hiring for Senior Machine Learning Engineer jobs? Cities near Stroudsburg, PA with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you

AI / Machine Learning Engineering Lead

Everest Insurance

Warren, NJ • On-site

$180K - $220K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday

Job description

Title:
AI / Machine Learning Engineering Lead
Company:
Everest Reinsurance Company
Job Category:
Technology
Job Description:
About Everest:
Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.
About the Role:
We are looking for a talented AI Solution Engineer to join our innovative team. This role involves designing and implementing advanced AI models to solve complex business problems, particularly within the insurance sector. The ideal candidate will have a strong statistical background and be proficient in machine learning and data analysis.
This is a hybrid position based in Warren, NJ working 3 days onsite, 2 remote.
We are not considering fully remote candidates at this time.
Key Responsibilities:
  • Design and Develop AI Models: Create and implement AI models with a robust statistical foundation. Ensure models are scalable and can be integrated into existing systems.
  • Performance Evaluation: Develop and utilize metrics to evaluate the performance of AI models. Continuously monitor and refine models to maintain high performance and accuracy.
  • Data Analysis: Analyze large datasets to extract meaningful insights and patterns. Validate AI models against existing benchmarks and datasets.
  • Collaboration: Work closely with data scientists, software engineers, and other stakeholders to align AI solutions with business objectives. Communicate findings and recommendations to non-technical team members.

Skills Needed:
  • Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with frameworks such as TensorFlow, PyTorch, or similar.
  • Statistical Analysis: Strong background in statistics and probability. Ability to apply statistical methods to real-world data.
  • Programming: Expertise in Python and/or R for data analysis and model development. Familiarity with SQL and other database technologies.
  • Data Analysis: Skilled in data preprocessing, cleaning, and transformation. Experience with data visualization tools to present findings effectively.
  • Insurance Domain Knowledge: Experience working with insurance datasets, including claims and underwriting data.
  • Understanding of industry-specific challenges and regulatory requirements.

Qualifications:
  • Education: A bachelor's degree in computer science, Statistics, Data Science, or a related field is required. A master's degree or relevant certifications (e.g., in machine learning or data science) are a plus.
  • Experience: 7-9 years of overall experience, including 3-5+ years in AI/ML development and deployment. Prior experience in the insurance industry is highly desirable.
  • Soft Skills: Strong problem-solving abilities, excellent communication skills, and the ability to work collaboratively in a team environment.
  • Adaptability: Ability to stay current with the latest AI trends and technologies and apply them to improve existing solutions.

The base salary range for this position is $180,000 - $220,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
#LI-KG1
#LI-Hybrid
What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.
Our Culture
At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.
  • Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.
Type:
Regular
Time Type:
Full time
Primary Location:
Warren, NJ
Additional Locations:
Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.
Everest U.S. Privacy Notice | Everest (everestglobal.com)

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