Software Engineer, Machine Learning

Summary

Join a team building the first universal identity infrastructure to help businesses manage customers, prevent fraud, and protect personal information. As a machine learning engineer, you'll design, build, and deploy models for identity verification and fraud prevention, fine-tune large language models, and conduct research in generative AI and deepfake detection.

Requirements

• Product-thinker : You build machine learning solutions that maximize product value while minimizing complexity
• Innovative mindset : You go beyond implementing what is tasked and suggest new algorithms and models that help push our product forward
• Expertise in ML techniques : You have a strong foundation in machine learning algorithms, deep learning, and computer vision
• Independent thinking : You learn from your mistakes quickly and know how to unblock yourself when needed
• Collaborative spirit : Collaboration isn’t just a buzzword for you; it’s your secret to success

Responsibilities

• 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

Benefits

• 401K matching
• Parental leave
• Quarterly company-wide mental health days
• Unlimited PTO
• Family planning stipend
• Wellness stipend