Student Employment & Internships

Ensembles for Demand Sensing Project Goal Algorithms capable of building orthogonal ensembles for predicting units sold by product / district Feature engineering around inventory-based features to detect supply constraints Background and Motivation The business analytics team within DSI is currently leading the Demand Sensing initiative. The DSI team builds the analytical foundation behind this which maintains our customer focus while decreasing inventory write downs. The project will focus on key elements of the initiative around building a repository of models and coming up with different/orthogonal features. As is, this initiative is one of the highest impact/visibility initiatives at Corteva. Project Description Intern will engage in the research and development of algorithms that can forecast unit sales as a function of product attributed and previous sales history. The interns will advance earlier solutions; help build relevant features around inventory and understand the impact of product pricing on demand. The eventual goal is to reduce product write-downs by giving reps and product life cycle managers a data driven tool to better estimate the unit sales by product. Deliverable(s) and Impact What will be delivered at the end of the project: A new set of models/ensembles to predict unit demand Additional features around inventory Understanding the impact of pricing on unit demand Our initiative is cross-enterprise with multiple stake-holders and users including platform leadership. We have an ambitious target of saving the company about 100 MM mainly due to operational effectiveness and product write-downs. If we are able to achieve that, it will lead to significant improvement in ROIC and will have the potential to change the course of our business. Desired Skill Set Experience with Python programming stack is required, as demonstrated by course work, projects (personal or otherwise), previous internships, etc. Some knowledge of econometrics and price/qty relationships preferred but not required This role is open to current students of the University of Illinois – Champaign/Urbana campus and is eligible for up to 40 hours of work time per week. Semester: Summer 2020 (May 18 – August 6, 2020) About Corteva Corteva agriscience™ is the only major agriscience company completely dedicated to agriculture. By combining the strengths of DuPont Pioneer, DuPont Crop Protection and Dow AgroSciences, we’ve harnessed agriculture’s brightest minds and expertise gained over two centuries of scientific achievement .At Corteva agriscience™, we are driven by our beliefs and our purpose, which is to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. To apply, email your resume to Lisa Brooks: Lisa.DunganBrooks@corteva.com. Please reference “Ensembles for Demand Sensing Internship” in the Subject line and within the email body. Your resume will be forwarded to the proper hiring team for consideration.

Predicting protein expression of toxins from different construct designs for insect control Background and Motivation Delivering multiple modes of action (MOA) via molecular stacking necessitates dialing in expression of multiple transgenes between the levels of protein accumulation that are high enough to control insects or provide herbicide tolerance and low enough to avoid negative agronomic effects. Adjusting transgene expression to this “therapeutic window” remains a mostly empirical task that involves iterative testing of various combinations of expression elements (promoters, Expression Modulating Elements, terminators, introns, coding sequences, targeting peptides, etc.). Project Description Datasets: Corn datasets (we currently have Corn 3rd gen that has Cry1B.34, Cry1B.64, and IPDO83Cb) including as many different toxins as possible, with construct design information, gene cassette information and protein expression levels Cytation 5 protoplast data (from Shane Abbit & Sunil Kumar) in which expression modulating elements were used to modify the protein expression levels of toxins. We can leverage this information to adjust protein expression of toxins to a “desired” level. Deliverable(s) and Impact What will be delivered at the end of the project: A model that accurately predicts target protein expression levels given a specific construct design, be it a single, double, or triple gene cassette design What is the impact that the deliverables are going to create: Reduce the number of constructs that need to be tested in stable assays or in the field for Trait Lead Development. This will significantly reduce the costs. Desired Skill Set Experience with machine learning, statistics, deep learning, and databases Ability to write Python/R script Familiarity with different Bioinformatics tools A general understanding of molecular biology and data science concepts This role is open to current students of the University of Illinois – Champaign/Urbana campus and is eligible for up to 40 hours of work time per week. Semester: Summer 2020 (May 18 – August 6, 2020) About Corteva Corteva agriscience™ is the only major agriscience company completely dedicated to agriculture. By combining the strengths of DuPont Pioneer, DuPont Crop Protection and Dow AgroSciences, we’ve harnessed agriculture’s brightest minds and expertise gained over two centuries of scientific achievement .At Corteva agriscience™, we are driven by our beliefs and our purpose, which is to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. To apply, email your resume to Lisa Brooks: Lisa.DunganBrooks@corteva.com. Please reference “Predicting protein expression of toxins from different construct designs for insect control Internship” in the Subject line and within the email body. Your resume will be forwarded to the proper hiring team for consideration.

Interactive Visualization of Synthetic Biology for Insect Control Project Goal This project aims to develop an R Shiny web app for visualizing and interacting with rules/construct designs for different toxins and stack configurations for multi-MOA (mode of action) stack designs. Background and Motivation Delivering multiple modes of action (MOA) via molecular stacking necessitates dialing in expression of multiple transgenes between the levels of protein accumulation that are high enough to control insects or provide herbicide tolerance and low enough to avoid negative agronomic effects. Adjusting transgene expression to this “therapeutic window” remains a mostly empirical task that involves iterative testing of various combinations of expression elements (promoters, Expression Modulating Elements, terminators, introns, coding sequences, targeting peptides, etc.). Project Description Datasets: At least one cohort comprising thousands of insect control stack designs, with gene cassette information and protein expression levels Tools: R environment including R Shiny and ggplot2 or similar for interactive visualization Trains decision trees on-the-fly to generate new design “rules’ given arbitrary therapeutic window constraints Deliverable(s) and Impact What will be delivered at the end of the project: An R Shiny app that: Visualizes toxin expression data for multiple synthetic biology construct designs allows users to include different datasets allows changing the minimum and maximum protein expression levels for different toxins generates and displays different rules What is the impact that the deliverables are going to create: The R Shiny web application will allow enable visual interaction with the data and rules and provide insights and analysis that has not previously been done. Desired Skill Set Experience with machine learning (decision trees and neural networks) and statistics (probability models, standard error, confidence intervals, and linear regression) Ability to write R scripts and develop R Shiny app A general understanding of molecular biology, biotechnology, and synthetic biology This role is open to current students of the University of Illinois – Champaign/Urbana campus and is eligible for up to 40 hours of work time per week. Semester: Summer 2020 (May 18 – August 6, 2020) About Corteva Corteva agriscience™ is the only major agriscience company completely dedicated to agriculture. By combining the strengths of DuPont Pioneer, DuPont Crop Protection and Dow AgroSciences, we’ve harnessed agriculture’s brightest minds and expertise gained over two centuries of scientific achievement .At Corteva agriscience™, we are driven by our beliefs and our purpose, which is to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. To apply, email your resume to Lisa Brooks: Lisa.DunganBrooks@corteva.com. Please reference “Interactive Visualization of Synthetic Biology for Insect Control” in the Subject line and within the email body. Your resume will be forwarded to the proper hiring team for consideration.

Environmental Feature Design for Digital Agriculture Project Goal Improve pedostransfer function models to estimate functional soil attributes at various scales (global, regional, and local) Develop novel features for environmental and ag system modeling, especially features derived from satellite imagery, soils, hydrology and terrain. Build reusable data engineering pipeline components. Background and Motivation High-quality soil and environmental data is critical to enable the expansion of Corteva’s digital service internationally and the global GxExM initiative. As we build out the global soil data system, there are gaps to fill. Although we have good coverage of fundamental soil attributes, the functional soil attributes, e.g., the soil water characteristics, soil profile drainage rate, water table, run-off curve number are generally not available. There is a need to develop reliable and accurate pedotransfer functions to estimate these soil and environmental attributes both at global scale and regional/local scale that fit to specific environment. In addition, there is strong need to continue to improve the accuracy/precision of the existing soil data at scale. Remote sensing science is a viable solution to this problem, which requires engineering new features that help explaining the soil-landscape processes both in space and time. Finally, reusable data pipelines that enable the data science research and predictions will benefit future work. Project Description Research and develop improved and independently validated pedotransfer function models with machine learning to predict functional soil attributes. Drainage class/rate Water table features Curve number Saturated/unsaturated flow characteristics Engineer new features, especially from satellite imagery, that improve capturing the soil-landscape processes both in space and time. Complex soil feature engineering (e.g. NCCPI) Hydrologic soil behavior (e.g. modeled water stress) Write up reports/papers necessary to document the science work including data, methods, results and discussion. Build data pipeline components that funnel data into the machine learning models for model training and prediction. Deliverable(s) and Impact: What will be delivered at the end of the project: Pedostransfer function models to estimate functional soil attributes at various scales (global, regional, and local), e.g., bulk density, field capacity, wilting point. Novel features developed for environmental and ag system modeling, including features derived from satellite imagery. Reports/papers that document methods, validation, Reusable data engineering components that enable automation of discoveries. Who is going to use: Environment and Ag System Modeling group: Xiong Xiong, Naveen Sampath, Dening Ye, Riley McDowell, Brad Malone Remote sensing group: Jeremiah Barrs, Olaniyi Ajadi, Sangzi Liang. What is the impact that the deliverables are going to create: Enable the expansion of digital service in global markets Enable the global GxExM analysis. Improved accuracy of soil/environmental input for crop growth model, I.e., CRONUS Skill set of the desired candidate: Supervised and unsupervised machine learning Geospatial data analysis and remote sensing Python/R, docker Helpful domain background: computer science, soil science, hydrology, environmental science, meteorology, agronomy This role is open to current students of the University of Illinois – Champaign/Urbana campus and is eligible for up to 40 hours of work time per week. Semester: Summer 2020 (May 18 – August 6, 2020) About Corteva Corteva agriscience™ is the only major agriscience company completely dedicated to agriculture. By combining the strengths of DuPont Pioneer, DuPont Crop Protection and Dow AgroSciences, we’ve harnessed agriculture’s brightest minds and expertise gained over two centuries of scientific achievement . At Corteva agriscience™, we are driven by our beliefs and our purpose, which is to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. To apply, email your resume to Lisa Brooks: Lisa.DunganBrooks@corteva.com. Please reference “Environmental Feature Design for Digital Agriculture Internship” in the Subject line and within the email body. Your resume will be forwarded to the proper hiring team for consideration.

AARP Automation Group is seeking a student for Summer 2020 to help advance AARP’s Automation and Machine Learning efforts related to workflows in the financial planning and analysis space. Robotic Process Automation (RPA) and Intelligent Process Automation (Appian) platforms are used to automate workflows in rapid delivery, agile and low-code no-code projects, and teams. Skillsets desired: Experience in programming, SQL and relational databases, and application development Familiar with business process definition and automation (experience preferred) Excellent communication skills Ability to collaborate Strong problem solving and analytical skills Experience with one or more automation technologies strongly desired (UIPath, Appian) To apply, please email your resume and cover letter to Miranda Kemp, mkemp@aarp.org, with the subject line “RPA Candidate”.

The purpose of this innovation project is to enhance the current supply chain app by eliminating nonessential functionalities and replacing them with items that can aid in the serialization process, including barcode readability, product verification, product hierarchy. By housing all of these functionalities in a single app, the manual process of visiting several different applications for the required information can be easily eliminated. We are looking for 1 supply chain (business student) and 2 Mobile App Developers. Major duties include: Working on Supply Chain Mobile App projects that will be utilized throughout the company Programming Mobile App with scanning, product authentication and aggregation functionality.  Qualifications Must be registered as a full-time student Must be able to commute to the work location during scheduled shifts (Given current shelter-in-place and work-from-home policies, this position will begin remotely. In-person work will resume with return to regular operations.) Undergraduate and Graduate students Cumulative minimum GPA of 3.0/4.0, or equivalent Must be authorized to work in the US on a permanent basis without requiring sponsorship 12 – 15 hours/week during the academic year 35 – 40 hours/week during the summer semester Bachelor degree or minor in Computer Science or equivalent Good communication, analytical and problem solving skills partnering with various parties. Ability to multitask and work within timelines Familiarity with databases Experience with mobile app development Experience with develop bar code scanning and decoding functionality Preferred Skills Serialization / Track and Trace experience in the Pharmaceutical Supply Chain, including knowledge of global requirements, vendors, standards and industry practices a plus Experience or knowledge of supply chain concepts a plus Experience with Mobile Application Architectures and Services Oriented Architectures (Web Services) and server-side technology (Web API) a plus Note: The position will be hired through a third-party hiring agency and will begin as soon as possible over the spring semester 2020 into summer 2020. To apply for this position, please submit your resume via Handshake. A link to this position can be found here: https://illinois.joinhandshake.com/jobs/3711141 Learn more about us at: www.abbvie.com Who We Are AbbVie (NYSE:ABBV) is a global, research-based biopharmaceutical company formed in 2013 following separation from Abbott Laboratories. The company’s mission is to use its expertise, dedicated people and unique approach to innovation to develop and market advanced therapies that address some of the world’s most complex and serious diseases. AbbVie employs approximately 30,000 people worldwide and markets medicines in more than 172 countries. The AbbVie Innovation Center is located in the Research Park at the University of Illinois and provides an opportunity for students and AbbVie’s Research and Development IT group to collaborate on projects to help advance our science.

This position is part of the Engineering and Data Sciences team. You will bring strong technical skills to our data science capabilities and connect back to the business where you will interact with a multidisciplinary team. In this position you will be part of the Computer Vision Capability where you will be working to solve a variety of technical challenges from developing models, IoT prototypes, exploring and mining data and deploying the solution to production. 70% – Develop and code models by applying algorithms to large structured as well as unstructured data, completing project deliverables. 20% – Work in a cross-disciplinary project team of software engineers, database specialists, data scientists, and business subject-matter experts to develop a project plan and deliverables, plus communicate technical solutions to a non-technical audience. 10% – Design strategies and propose algorithms to analyze and leverage data from a variety of sources. Job Location: University of Illinois, Urbana-Champaign in Champaign, IL. Job Description YOU MUST CURRENTLY BE ENROLLED AT THE UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN (UIUC) FOR THIS INTERNSHIP OPPORTUNITY WITH CARGILL AT THE UIUC RESEARCH PARK. Want to work at the forefront of artificial intelligence and agriculture? In partnership with Cargill, at the University of Illinois, Urbana Champaign (UIUC) research park, you will be given the opportunity as a graduate level intern to apply knowledge gained in the classroom to a real-life environment and then multiply by tenfold. Cargill has a significant presence across agricultural supply chains. With that footprint comes massive amounts of data, much of it in the form of pictures or video. Computer vision is a key and growing aspect of the Cargill Data Science team. Detecting objects, estimating size, categorizing variations, and tracking objects are all important inputs to the agricultural supply chain and building out a platform utilizing these capabilities is an exciting challenge. As a Data Science Intern, from day one, you will be an integral part of the team working with the engineering and data science teams. You will tackle real challenges, cultivate your curiosity, have client exposure, enjoy both personal and team accomplishments and have your initiative acknowledged along the way. You will collaborate and build relationships with colleagues and clients who represent diverse work, culture and resolution styles. We look for people who want to grow, support, think and produce. Qualifications Required Qualifications: Must be currently enrolled in a Masters or PhD program at the University of Illinois, Urbana Champaign in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields with a graduation date of May 2021 or later. Able to complete a minimum semester long internship either Fall 2020 or Spring 2021. Experience developing and testing machine learning or statistical projects. Strong background in Computer Vision including Image/Video Processing, Object Detection, Classification and Tracking. Knowledge and experience on using deep learning tools (e.g. TensorFlow, MXNet, PyTorch, etc.) for image/video analytics. In-depth knowledge of various other modeling algorithms, e.g., regression, trees-based models, neural networks, ensembles, etc. Interested in learning model deployment in a production setting. Proficiency in Python (e.g., pandas, scikit-learn, bokeh, matplotlib, NumPy). Ability to understand complex and ambiguous business needs and apply the right tools and approaches. Curious, self-motivated, driven, and have a passion for problem solving. Collaborative team player. Excellent communication skills, both written and verbal. Strong presentation skills; ability to present technical solutions to non-technical persons in an easy to understand way. Preferred Qualifications: GPA 3.0 or above. Right to work in the United States without visa sponsorship. Experience in agriculture, commodity, or manufacturing businesses. Experience with geospatial data. Experience in deep learning neural networks. Experience working in a cloud environment e.g., Amazon Web Services. Experience with Big Data development in Hadoop and Spark frameworks. Equal Opportunity Employer, including Disability/Vet. Click here to apply online!

This position is part of the Engineering and Data Sciences team. Your project will connect you back to the business where you will interact with a multidisciplinary team of plant managers, process control engineers etc. You will bring strong technical skills to our data science capabilities. You will explore, connect, and mine data; plus develop models using algorithms for pattern detection. In this position you will be part of the AI in Smart Manufacturing Capability where you will be working to solve reliability, energy performance, safety, predictive maintenance, forecasting, and optimization problems. 70% – Develop and code models by applying algorithms to large structured as well as unstructured data, completing project deliverables. 20% – Work in a cross-disciplinary project team of software engineers, database specialists, data scientists, and business subject-matter experts to develop a project plan and deliverables, plus communicate technical solutions to a non-technical audience. 10% – Design strategies and propose algorithms to analyze and leverage data from a variety of sources. Job Location: University of Illinois, Urbana-Champaign in Champaign, IL Job Description YOU MUST CURRENTLY BE ENROLLED AT THE UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN (UIUC) FOR THIS INTERNSHIP OPPORTUNITY WITH CARGILL AT THE UIUC RESEARCH PARK. Want to work at the forefront of artificial intelligence and agriculture? In partnership with Cargill, at the University of Illinois, Urbana Champaign (UIUC) research park, you will be given the opportunity as a graduate level intern to apply knowledge gained in the classroom to a real-life environment and then multiply by tenfold. Cargill has a significant presence across agricultural supply chains globally and has 1500 manufacturing assets across the world. With that footprint comes massive amounts of data. AI in Smart Manufacturing unleashes the power of automation, data, and analytics to improve manufacturing. Companies are increasingly building digital twins using the wealth of IoT sensor data collected across the plant to increase the OEE (Overall Equipment Effectiveness) of the plants leading to higher yields, improved efficiency, and increased quality at a minimal cost. As a Data Science Intern, from day one, you will be an integral part of the team working with the engineering and data science teams, and will tackle real challenges, cultivate your curiosity, have client exposure, enjoy both personal and team accomplishments and have your initiative acknowledged along the way. You will collaborate and build relationships with colleagues and clients who represent diverse work, culture and resolution styles. We look for people who want to grow, support, think and produce. Qualifications Required Qualifications: Must be currently enrolled in a Masters or PhD program at the University of Illinois, Urbana Champaign in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Physics, or related fields with a graduation date of May 2021 or later. Able to complete a semester long internship in Fall 2020 (Aug-December 2020) or semester long internship in Spring 2021 (January-May 2021) Experience developing and testing machine learning or statistical projects. Strong background in time series and streaming data analysis, industrial engineering and statistical process monitoring and control. In-depth knowledge of various other modeling algorithms, e.g., regression, trees-based models, neural networks, ensembles, etc. Interested in learning model deployment in a production setting. Proficiency in Python (e.g., pandas, scikit-learn, bokeh, matplotlib, NumPy). Ability to understand complex and ambiguous business needs and apply the right tools and approaches. Curious, self-motivated, driven, and have a passion for problem solving. Collaborative team player. Excellent communication skills, both written and verbal. Strong presentation skills; ability to present technical solutions to non-technical persons in an easy to understand way. Preferred Qualifications: GPA of 3.0 or above. Right to work in the United State without sponsorship. Experience in agriculture, commodity, or manufacturing businesses. Experience in deep learning neural networks. Experience working in a cloud environment e.g., Amazon Web Services. Experience with Big Data development in Hadoop and Spark frameworks Equal Opportunity Employer, including Disability/Vet. Click here to apply online! 

Our Nutech Seed team is looking to add a Student Summer Assistant within Marketing and Sales Support to the team for the summer of 2020 full-time and part-time during the school year. The position will be located in Champaign, IL. We are seeking undergraduate candidates looking to gain broad experience in the agricultural industry. Corteva‘s purpose is to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. As a business, we strive to be a leader in the market and are working to have a “Market Shaping” mindset in all that we do. Job Description Corteva Agriscience offers opportunities across the country to learn about today’s problems and finding tomorrow’s solutions. We seek students who are looking to prepare for a job in tomorrow’s agriculture market. Our students experience many different aspects of agriculture, while gaining real-world industry knowledge. NuTech Seed® is a growing and vibrant brand in the Central Corn Belt helping farmers live a lifestyle around what really matters: success, enjoyment and family. Our focus remains on delivering seed with consistent performance potential, health and aesthetics and protecting yields with the latest traits. NuTech’s product portfolio is backed by some of the most knowledgeable seed professionals in the business. Responsibilities – WHAT YOU WILL DO We are looking for a creative, enthusiastic and dynamic student to join our expanding Sales Organization. The Marketing and Sales Support Student will report to the Marketing and Sales Support Lead, assisting with marketing tactics, social media, event planning and sales support activities throughout the academic year and summer. Assist with planning, implementing and monitoring the company’s social media strategy Assist in the distribution of marketing materials and customer communication mailers Support planning, organizing and managing internal and external events Work with Sales Reps to help maintain and report on business planning Provide timely, efficient consultation to sales force and customers for questions related to marketing programs and events Work with vendors to help procure sales and marketing-related materials and office supplies Provide administrative support to marketing team and leadership team Undertake multiple assignments and projects as assigned Qualifications – WHAT YOU WILL BRING Current student seeking a bachelor’s degree Strong desire to learn along with professional drive Ability to multi-task and take initiative Excellent verbal and written communication skills Proficient in MS Office Preferred: Ag industry experience/knowledge. Experience with InDesign, PhotoShop and Canva. Ideal candidate would be a freshman or sophomore in college with ability to stay with us for multiple years Ability to work approximately 10-20 hours per week during the school year, we will provide flexible hours to accommodate class schedules, exams and school activities. Full-time opportunity during the summer months. Corteva Agriscience ™ serves to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. Our employees fulfill this purpose everyday by building/participating in an inclusive culture where we encourage each other to stay curious, think differently, act boldly and do what’s right for our customers, our co-workers, our partners and our planet. With over 20,000 team members from 130 countries, innovating in 140 world class R&D facilities, we have the resources, leadership heritage and partner ecosystem to make a meaningful impact now and into the future. Click here to apply online!

Our Nutech Seed team is looking to add a Student Summer Assistant to the team for the summer of 2020. The position will be located in Champaign, Illinois. We are seeking undergraduate candidates looking to gain broad experience in the agricultural industry. Corteva‘s purpose is to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. As a business, we strive to be a leader in the market and are working to have a “Market Shaping” mindset in all that we do. Corteva Agriscience offers opportunities across the country to learn about today’s problems and finding tomorrow’s solutions. We seek Interns who are looking to prepare for a job in tomorrow’s agriculture market. Our Interns experience many different aspects of agriculture, while gaining real-world industry knowledge. Responsibilities – WHAT YOU WILL DO Work with Growers, Dealers and District Sales Managers on a daily basis Assist the regions with moving seed around in season Must have the ability to lift 60lbs and be able to pull and back a flatbed trailer, no cdl required Work with Dealers to put corn and soybean plots in the fields Put field signs up and scouting fields with supervision of local agronomist or district sales manager Qualifications – WHAT YOU WILL BRING Minimum cumulative GPA of 3.00 at an accredited university Currently be studying in your freshman, sophomore or junior year Pursuing a bachelor’s degree in an agriculture related field The skills we seek: We’re looking for people with advanced time management skills, trustworthiness, and drive. We hire the best people across the country to build the future of Corteva Agriscience. Beyond their education, these people share certain traits that set them apart from their classmates. We start with your potential, honesty, initiative, and creativity, and we teach you how to recognize problems, offer solutions, and address opportunities encountered in the field. Corteva Agriscience ™ serves to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. Our employees fulfill this purpose everyday by building/participating in an inclusive culture where we encourage each other to stay curious, think differently, act boldly and do what’s right for our customers, our co-workers, our partners and our planet. With over 20,000 team members from 130 countries, innovating in 140 world class R&D facilities, we have the resources, leadership heritage and partner ecosystem to make a meaningful impact now and into the future. Click here to apply through Handshake!