Software Engineer, Machine Learning

Summary

Join Persona, a configurable identity platform, and contribute to building and deploying machine learning models for identity verification and fraud prevention. You will fine-tune large language models, train vision models, and conduct research in generative AI and deepfake technologies. Collaboration with cross-functional teams and direct work with customers are key aspects of this role. The ideal candidate possesses a product-centric mindset, innovative thinking, expertise in ML techniques, independent thinking, and a collaborative spirit. This position offers a competitive salary and a comprehensive benefits package.

Requirements

• 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

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
• Handle all different types of scale—from helping a new startup automate their manual processes to supporting enterprises with their Super Bowl Sunday scale

Preferred Qualifications

• 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

Benefits

• $130,000 - $220,000 a year
• Competitive equity packages
• Medical, dental, and vision
• 3% 401(k) contribution
• Unlimited PTO
• Quarterly mental health days
• Family planning benefits
• Professional development stipends
• Wellness benefits
• Unlimited paid time off