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Physics Based Machine Learning Jobs in Bethlehem, PA

MSIG Holdings USA, Inc.

Data Product Owner

Warren, NJ · On-site

MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world's top ... AI, Machine Learning & Advanced Analytics Use Cases * Identify and prioritize AI and advanced ...

MSIG Holdings USA, Inc.

Data Product Owner

Warren, NJ · On-site

MSIG USA is the US-based subsidiary ofMS&AD Insurance Group Holdings, Inc., one of the world's top ... AI, Machine Learning & Advanced Analytics Use Cases * Identify and prioritize AI and advanced ...

Varsity Tutors

Python Tutor

Allentown, PA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Adapts instruction using interactive notebooks, coding challenges, and project-based learning to ...

Magna-Power Electronics

CNC Machinist

Flemington, NJ · On-site

$20.75 - $28.25/hr

Salary: $ 22.00 - $ 26.00 per hour / based on experience AtMagna-Power Electronics (MPE),a ... Continuous Learning:Tuition reimbursement programs, certifications, conferences and additional ...

Magna Power Electronics, Inc.

CNC Machinist

Flemington, NJ

$20.75 - $28.25/hr

At Magna-Power Electronics (MPE), a Flemington, New Jersey based electronics manufacturer, we ... Continuous Learning: Tuition reimbursement programs, certifications, conferences and additional ...

Magna Power Electronics, Inc.

CNC Machinist

Flemington, NJ · On-site

$20.75 - $28.25/hr

At Magna-Power Electronics (MPE), a Flemington, New Jersey based electronics manufacturer, we ... Continuous Learning: Tuition reimbursement programs, certifications, conferences and additional ...

Magna-Power Electronics

CNC Machinist

Flemington, NJ · On-site

$22 - $26/hr

At Magna-Power Electronics (MPE) , a Flemington, New Jersey based electronics manufacturer, we ... Continuous Learning: Tuition reimbursement programs, certifications, conferences and additional ...

Magna-Power Electronics

CNC Machinist

Flemington, NJ

$22 - $26/hr

AtMagna-Power Electronics (MPE),a Flemington, New Jersey based electronics manufacturer,we believe ... Continuous Learning:Tuition reimbursement programs, certifications, conferences and additional ...

Uponor North America

Extruder Operator

Easton, PA

$16.50 - $21/hr

... culture based on performance, learning and caring. If you're passionate about technology ... Primary Job Responsibilities Set up and operate extrusion machines according to job specifications ...

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Physics Based Machine Learning information

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How much do physics based machine learning jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for physics based machine learning in Bethlehem, PA is $19.82, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $25.19 per hour, depending on experience, location, and employer.

What does a physics based machine learning professional do?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What is a physics based machine learning?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What are the key skills and qualifications needed to thrive in physics based machine learning?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

What are popular job titles related to Physics Based Machine Learning jobs in Bethlehem, PA? For Physics Based Machine Learning jobs in Bethlehem, PA, the most frequently searched job titles are:
What cities near Bethlehem, PA are hiring for Physics Based Machine Learning jobs? Cities near Bethlehem, PA with the most Physics Based Machine Learning job openings:
Physics Based Machine Learning jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Allentown, PA • Remote

Full-time

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply