Software Engineer, Machine Learning

What you'll do at Persona

• 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

What you'll bring to 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.

Nice to have

• 2+ years of experience as a machine learning engineer or in a related role
• Experience with large language models (LLMs) and natural language processing
• Proficiency in training and tuning vision models like YOLO or CLIP
• Familiarity with generative AI and deepfake detection technologies
• Experience with ML frameworks such as TensorFlow or PyTorch
• Background in computer vision, natural language processing, or related fields
• Knowledge of cloud platforms and services related to machine learning deployments