Software Engineer, Persona

• Product-thinker: You build machine learning solutions that maximize product value while minimizing complexity. You understand and can resolve tensions between product requirements and engineering design for large-scale ML projects
• Innovative mindset: You go beyond implementing what is tasked and suggest new algorithms and models that help push our product forward. You are naturally curious and embrace change
• Expertise in ML techniques: You have a strong foundation in machine learning algorithms, deep learning, and computer vision. You stay updated with the latest research and can apply it to solve real-world problems
• Independent thinking: You learn from your mistakes quickly and know how to unblock yourself when needed. You take initiative to tackle new problems and drive them to impactful solutions
• Collaborative spirit: Collaboration isn’t just a buzzword for you; it’s your secret to success. You leverage the diverse perspectives of your teammates and sometimes go out of your way to learn other functions to get the job done

Desirable

• We’re building both a product and a technology, and we always prioritize acting in a customer-centric way
• In this role, you'll tackle challenging machine learning problems, as Persona's product needs are increasingly complex to balance the ever-changing compliance requirements of our customer base, ranging from small startups to Fortune 10 companies
• You’ll develop and optimize machine learning models, contribute to cutting-edge research in generative AI and deepfake detection, and build seamless user experiences that will directly impact the long-term quality of the Persona product
• Design, build, and deploy machine learning models for identity verification and fraud prevention
• Fine-tune large language models (LLMs) to enhance natural language processing capabilities
• Train and optimize vision models such as CLIP, YOLO and others for image recognition and processing tasks
• Conduct research in generative AI and deepfake technologies to stay ahead of emerging threats
• Collaborate with cross-functional teams to integrate ML solutions into our platform
• Work directly with customers to tailor ML-driven features to their needs
• Handle all different types of scale—from helping a new startup automate their manual processes to supporting enterprises with their Super Bowl Sunday scale