US - Remote Full time JR15013 As we create a colorful, capable and cleaner world through chemistry, we invite you to join our team to harness the power of chemistry to shape markets, redefine industries and improve lives for billions of people around the world.

• CREATING ESSENTIAL CHEMISTRY THAT THE WORLD NEEDS

   
• At Chemours, our people are redefining how the world thinks of chemistry by approaching everything we do with a commitment to delivering Trusted Chemistry that creates better lives and helps communities thrive.

That begins with how we use our science, data, and unmatched technical expertise to develop market-leading products with the highest levels of performance, sustainability, and safety in the industry. Powered by chemistry, our products are used in applications that make the products we rely on, processes, and new technologies possible. In key sectors such as clean energy, advanced electronics, high-performance computing and AI, climate friendly cooling, and high-quality paints and coatings for homes and industrial infrastructure---sustainable solutions and more modern living depend on Chemours chemistry. Chemours is seeking a

• Generative AI and Data Science Intern
• to join our AI & Data Science team! This position will report directly to a senior AI & Data Science Team Member. The Generative AI & Data Science Intern will work closely with our team to create and deploy predictive AI models and GenAI solutions to support all areas of the business, including R D, Finance, Manufacturing, Legal, and Environment/Safety functions of the company. +

• Location:

• Wilmington, Delaware (remote work possible for outstanding candidates, who must be able to comfortably work 8am-5pm East Coast Time) +

• Hours:

• Full-time schedule of 40 hours per week (must not be enrolled in coursework at the same time as interning) +

• Preferred Start Date:

• ROLLING ADMISSIONS

  - We will host 1-3 interns at all times throughout the year. +
• Preferred duration of work:
• At least 6 continuous months
• The responsibilities of the position include, but are not limited to, the following:
• + Develop predictive models using tools in the Azure platform (eg.

Microsoft Fabric, Azure ML Studio, etc.) + Write data preparation and analysis routines in Python using the pandas and scikit-learn packages + Participate in dataset design and statistical modeling discussions + Integrate process control solutions with data science models + Design and deploy GenAI solutions and apps into production enterprise environments + Collaborate on full-stack development for small applications and efficient UI/UX workflow building + Apply and share best practices for designing and delivering GenAI hybrid search

• Specific examples of exciting projects that you could work on:
• + Establish evaluations & improve accuracy of a GenAI model that is being used to extract chemical property information (eg.

boiling point) from millions of pages of literature + Establish evaluations & enhance accuracy & relevance metrics of a hybrid search + RAG GenAI model used to query Operations & Safety procedures + Use your ML experience to evaluate which approach (model + tuning) works best to predict chemical properties of a compound (eg. flammability) + Gather UX requirements, and build a front-end/UI (using React, Streamlit, etc.) for the Legal team to make it easy for non-technical users to process a high volume of documents using our custom GPT/ GenAI script. + Design multi-agent systems that break down complex user requests into smaller, actionable subtasks to improve answer quality and adherence to guardrails

• The following is
• _required_
• for this role:
• + Enrollment at an accredited college or university pursuing or have recently completed a Bachelor's, Master's, PhD, or Post-Doctoral degree in Data Science, Computer Science, AI, Software Engineering, Computational Chemistry, or other a very similar field to those + 2+ years of programming experience with Python including experience using pandas and scikit-learn packages + 1+ year practical experience in data science building predictive ML models (e.

g. having done feature selection and engineering, model selection and hyperparameter tuning, data cleansing, data analysis); typical use cases will involve working with time-series data and/or chemical properties to make predictions

• _AND/OR_
• 1+ yr practical experience developing GenAI applications (using RAG, hybrid search, building UI for applications, etc.) + Fast learner and strong collaborator, who can work efficiently with high output + Strong communication skills with the ability to present findings to a non-technical audience
• The following is
• _preferred_
• for this role
• : + Currently enrolled in or who have completed a Master's, PhD, or Post-Doctoral program + Ability to continue for 6+ months + 1+ year of hands-on full-stack development skills: React, NodeJS, FastAPI, SQL, Git, CI/CD + Candidates with prior experience working in Enterprise environments at other companies, especially building and deploying apps and GenAI agents into production using platforms such as Azure, Google Cloud, or AWS (preferably Azure) + Minimum GPA of 3.

0 or above + High proficiency in analytical, quantitative, and problem-solving capabilities + Strong leadership qualities in taking initiative to drive results + Motivation to tackle complex, real-life business problems and build a robust professional resume

• Benefits:

• Competitive Compensation Comprehensive Benefits Packages 401(k) Match Employee Stock Purchase Program Tuition Reimbursement Commuter Benefits Learning and Development Opportunities Strong Inclusion and Diversity Initiatives Company-paid Volunteer Day We're a different kind of chemistry company because we see our people as our biggest assets.

Instead of focusing just on what our employees do each day, we look at how they do it—by taking a different approach to talent development, employee engagement, and culture. Our goal is to empower employees to be their best selves, at Chemours and in life. Learn more about Chemours and our culture by visiting Chemours.com/careers. (https://www.chemours.com/en/careers) _Chemours is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, religion, color, gender, disability, national or ethnic origin, ancestry, marital status, family status, sexual orientation, gender identity or expression, or veteran status. Jurisdictions may have additional grounds for non-discrimination, and we comply with all applicable laws._ _Chemours is an E-Verify employer_ _Candidates must be able to perform all duties listed with or without accommodation_ _Immigration sponsorship (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status) is not currently available for this position_ _Don't meet every single requirement? At Chemours we are dedicated to building a diverse, inclusive, and authentic workplace for our employees. So if you're excited about this role, but your past experience doesn't align perfectly with every qualification in the position description, we encourage you to apply anyways. You may just be the right candidate for this or other opportunities._ At Chemours, you will find sustainability in our vision, our business and your future. If you want to work on the leading edge of your field and have a desire to make a difference, join Chemours and discover what it means when we say "We Are Living Chemistry". Every day Chemours delivers Trusted Chemistry that enables products and technologies that people rely on to live better and thrive. A global leader in industrial and specialty chemicals, our chemistry enables vital innovations from high-performance computing, artificial intelligence (AI), and advanced electronics to batteries for electric and low-emissions vehicles, climate friendly cooling, paints and durable coatings for advanced infrastructure, and more. Through our three businesses - Thermal & Specialized Solutions, Titanium Technologies, and Advanced Performance Materials - we deliver chemistry-based innovations that solve our customers' biggest challenges.

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