Explore 2 ai python software engineer jobs from 2 hiring companies in Morgantown, WV, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Ai Python Software Engineer

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Ai Python Software Engineer Jobs

Synopsys

WVU Medicine

Hybrid

Onsite

This role is open as a hybrid position in any of the following locations: Canonsburg, PA, Evanston, IL, or Lebanon, NH.
We Are:
At Ansys, Part of Synopsys, we’re the global leader in engineering simulation software, helping innovative companies solve complex design challenges. Our cutting-edge solutions power advancements across industries, from aerospace to consumer electronics. Join us and help shape the future of technology.
You Are:
You are a passionate and analytical R&D engineer who thrives at the intersection of AI/ML and 3D discrete geometry processing. With a strong foundation in engineering, computer graphics, computational geometry, or mathematics, you are ready to tackle complex problems in simulation model creation and discretization. Your expertise in AI/ML for geometry processing allows you to see creative solutions where others see barriers. You are deeply curious, continually seeking new ways to simplify and automate mesh generation. One focus area is HPC and developing and implementing algorithms on clusters of GPUs, and topics of special interest are surface reconstruction and geometry simplification, and Delaunay meshing. Knowledge and experience of AI/ML, in particular RL, to augment and optimize discrete geometry algorithms is highly desirable. Another area of interest is the use of LLM and LVM/VLM to create simulation models starting from CAD and other data defining analysis intent. Hands-on experience from network design and fine tuning of reasoning based LLM and LVM/VLM models is advantageous. Your interest and expertise will decide on focus area and work assignments.
 
 Collaboration energizes you, and you communicate your ideas clearly and effectively across diverse teams and geographies. You are comfortable working in Python, C, and C++, and you enjoy engaging in all stages of software development—from initial planning and research to implementation and evolution. Your strong analytical skills and ability to overcome obstacles make you a natural fit for an innovative team by pushing the boundaries of simulation technology.
 
 You bring a unique blend of technical expertise, creative problem-solving, and a drive to contribute to impactful projects. You value continuous learning, embrace new challenges, and are motivated by the opportunity to build advanced tools that empower engineers, researchers, and designers worldwide.
What You’ll Be Doing:
Researching, designing, and implementing algorithms for 3D geometry processing and mesh generation incorporating AI/ML to increase automation and robustness, albeit not necessarily accuracy.
Developing innovative solutions for surface reconstruction, Delaunay meshing, feature classification, shape analysis, and model simplification using state-of-the-art techniques.
Collaborating closely with the meshing software development team to plan, create, and evolve simulation software capabilities.
Writing efficient, maintainable code in Python and C/C++ for production-grade simulation tools.
Analyzing simulation models and discretization workflows to identify opportunities for automation and simplification.
Participating in code reviews, knowledge sharing, and cross-functional brainstorming sessions to foster team growth and innovation.
The Impact You Will Have:
Accelerating the adoption of AI/ML technologies within simulation software, making model creation faster and more accessible.
Enabling engineers and researchers to solve complex geometric and numerical problems more efficiently.
Improving the accuracy and performance of simulation models through advanced mesh generation techniques.
Driving innovation in the field of computational geometry and simulation technology.
Contributing to the development of robust, scalable software solutions used by leading companies worldwide.
Helping Synopsys maintain its leadership in high-performance simulation and design automation tools.
What You’ll Need:
BS in Engineering, Computer Graphics, Computational Geometry, Mathematics, or related field with 5+ years’ experience, MS degree with 3+ years of experience, or PhD with 1+ year of experience.
PhD with Postdoctoral experience preferred
Expertise in AI/ML applications for 3D geometry processing.
Proficient software development skills, especially with Python and C/C++.
Solid understanding of geometry processing, mesh generation, and numerical methods.
Strong analytical and problem-solving abilities, with a track record of overcoming technical challenges.
Who You Are:
Excellent communicator with the ability to explain complex concepts to technical and non-technical audiences.
Collaborative team player who thrives in diverse, cross-functional environments.
Innovative thinker with a drive to push boundaries and explore new technologies.
Self-motivated learner who embraces challenges and adapts quickly to new domains.
Detail-oriented and organized, with a commitment to delivering high-quality work.
The Team You’ll Be A Part Of:
You will join the Meshing Development Unit (MDU), a dynamic group of engineers and researchers dedicated to advancing simulation technology. The team specializes in AI/ML, geometry processing, and mesh generation, working collaboratively to deliver innovative solutions for complex engineering problems. You’ll engage with experts across multiple disciplines and geographies, contributing to a vibrant, supportive, and forward-thinking environment.
Rewards and Benefits:
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

R&D Engineering, Staff Engineer -16430

Staff Engineer

BS/MS/PhD in engineering or related field with 1+ to 5+ years; AI/ML for 3D geometry; Python/C/C++ development; geometry processing and mesh generation.

<h2>Welcome! We’re excited you’re considering an opportunity with us! To apply to this position and be considered, click the Apply button located above this message and complete the application in full.  Below, you’ll find other important information about this position. </h2>The Associate Machine Learning Engineer supports the development, testing, and deployment of machine learning models that enhance healthcare operations and patient outcomes at WVU Medicine. Working under the guidance of senior engineers and data scientists, this role applies foundational machine learning and software engineering skills to build, evaluate, and deploy ML solutions. This position contributes to CI/CD pipelines, assists with model deployment and monitoring, and supports the integration of Generative AI and large language model (LLM) capabilities into enterprise systems. Follows established engineering and MLOps practices while developing skills in building production-grade systems. The Associate Machine Learning Engineer works with a variety of healthcare data sources, including electronic medical records, claims data, and unstructured data, to support the delivery of reliable, production-ready solutions. This role is suited for early-career professionals with a strong foundation in machine learning concepts, experience programming in Python, and an interest in applying AI within healthcare.MINIMUM QUALIFICATIONS:EDUCATION, CERTIFICATION, AND/OR LICENSURE:1. Bachelor’s degree in Machine Learning, Computer Science, Mathematics, Data Science, or related field AND one (1) year of professional experience in machine learning or software engineering (internships, academic research, and capstone projects qualify).OR2. Master’s degree in a related field with no prior professional experience required.PREFERRED QUALIFICATIONS:EDUCATION, CERTIFICATION, AND/OR LICENSURE:1. Certifications or coursework related to machine learning, data science, or software engineering.EXPERIENCE:1. Hands-on experience with machine learning and LLM (large language model) frameworks.CORE DUTIES AND RESPONSIBILITIES: The statements described here are intended to describe the general nature of work being performed by people assigned to this position. They are not intended to be constructed as an all-inclusive list of all responsibilities and duties. Other duties may be assigned.1. Support data collection, cleaning, preprocessing, and feature engineering for ML model development.2. Assist in training, evaluating, and validating machine learning models using Python and standard ML frameworks.3. Write and maintain Python scripts and modules that are clean, documented, and production-oriented.4. Contribute to CI/CD pipeline development and maintenance for automated model training, testing, and deployment in on-premise Linux-based environments.5. Build and manage Docker containers for packaging ML models and dependencies for on-premise deployment on Linux-based servers.6. Support productionalization of ML models, ensuring models are scalable, reliable, and ready for deployment at scale.7. Assist in the integration and testing of Generative AI and LLM-powered features into healthcare applications and workflows.8. Document model development processes, data pipelines, and deployment steps clearly and thoroughly.9. Participate in Agile sprint ceremonies including standups, sprint planning, and retrospectives.10. Collaborate with data scientists, ML engineers, and software engineers across functional teams.11. Monitor deployed models for performance drift using available observability tools and contribute to retraining and improvement cycles.12. Stay current with advancements in ML, Generative AI, LLMs, and open-source tools and frameworks.PHYSICAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.1. Primarily sedentary office or remote work environment.2. Prolonged periods working at a computer workstation.WORKING ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.1. Normal office environment or remote work setting.SKILLS AND ABILITIES:1. Proficiency in Python including data processing, model training, and API integration.2. Working knowledge of CI/CD standards for systems deployment and monitoring3. General understanding of Docker and container orchestration.4. Understanding of Generative AI, LLMs, and prompt engineering principles.5. Good written and verbal communication skills, including ability to document technical processes clearly.6. Foundational understanding of data analysis and sensitive data management.Additional Job Description:Scheduled Weekly Hours: 40Shift: Exempt/Non-Exempt:United States of America (Exempt)Company: SYSTEM West Virginia University Health SystemCost Center:576 SYSTEM IT Artificial Intel AnalyticsAddress: 315 Point Marion RoadMorgantownWest VirginiaEqual Opportunity Employer West Virginia University Health System and its subsidiaries (collectively &#34;WVUHS&#34;) is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. WVUHS strictly prohibits and does not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state, or local law. All WVUHS employees, other workers, and representatives are prohibited from engaging in unlawful discrimination. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.

Associate Machine Learning Engineer

Bachelor's in ML/CS/Math/Data Science with 1+ year ML/SE experience; Python; CI/CD; Docker; Generative AI interest.

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Ai Python Software Engineer Jobs in Morgantown, WV, US

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