Applied Scientist I

Applied Scientist I Join us at Entrust, a leader in identity‑centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely. Headquartered in Minnesota and serving over 150 countries, Entrust is a cutting‑edge technology company that builds AI‑powered digital identity solutions. Our people—curiosity, dedication, and innovation—drive our success. As an Applied Scientist I you will design and train machine learning solutions for digital identities. You will work on deep‑fake detection, bias mitigation, document understanding, anomaly detection, and/or efficient on‑device machine learning. What You Will Be Doing Push the frontier of research in areas such as deep‑fake detection, bias mitigation, fraud and anomaly detection, face matching, document understanding, and efficient on‑device machine learning. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world‑class identity‑focused products. Representative Work Implement bias‑mitigation strategies to build fair face‑matching and deep‑fake‑detection models. Train and benchmark large‑scale vision‑language models for document extraction. Train a multimodal document‑understanding model from scratch using synthetic data. Optimize LoRA adapter latency in PEFT and Triton. Profile, debug, and improve model training speed on multiple GPUs. Create a large‑scale dataset for deep‑fake detection. Experiment with multimodal models to detect fraud. You May Be a Good Fit If You Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high‑performance machine‑learning products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting‑edge machine‑learning products. Strong Candidates May Also Have Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding, or on‑device machine learning. Published at top‑level machine‑learning conferences. Experience optimizing distributed training code. What You Can Expect Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey with learning‑forward initiatives and exciting challenges. Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on‑site, we offer flexible options that fit your lifestyle. Collaboration: Your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow. We believe in securing identities—and valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves. Ready to make an impact? If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together. For more information, visit www.entrust.com. Entrust is an EEO/AA/Disabled/Veterans Employer. Entrust values diversity and inclusion. We welcome applications from qualified individuals of all backgrounds and strive to provide an accessible experience for candidates of all abilities. If you require an accommodation, contact accessibility@entrust.com. Recruiter: Jack Steib Contact: jack.steib@entrust.com #J-18808-Ljbffr