Senior Software Engineer, Machine Learning (SF)

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Identity Verification, Fraud Prevention, AI, BiotechnologyIndustries

Requirements

Candidates must possess a strong foundation in machine learning algorithms, deep learning, and computer vision, with the ability to apply the latest research to real-world problems. They should demonstrate independent thinking, learn quickly from mistakes, and take initiative to solve problems. A collaborative spirit and the ability to leverage diverse perspectives are essential. Nice-to-have qualifications include 5+ years of experience as a machine learning engineer, 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, and a background in computer vision or natural language processing.

Responsibilities

The Senior Software Engineer, Machine Learning will design, build, and deploy machine learning models for identity verification and fraud prevention. They will fine-tune large language models to enhance natural language processing capabilities and train/optimize vision models for image recognition. Responsibilities also include conducting research in generative AI and deepfake technologies, collaborating with cross-functional teams to integrate ML solutions, and working directly with customers to tailor ML-driven features.

Skills

Machine Learning

Generative AI

Deepfake Detection

Large Language Models (LLMs)

Natural Language Processing

CLIP

YOLO

Image Recognition

Identity Verification

Fraud Prevention

Persona

Identity verification tools for online security

About Persona

Persona focuses on making online identity verification more user-friendly and secure. The company provides businesses with tools to confirm the identities of their users, which helps create a safer online environment. Their products include Web and iOS SDKs that allow companies to easily integrate verification processes into their platforms. These tools operate in two modes: production mode for live data and sandbox mode for testing with sample data. Persona differentiates itself from competitors by emphasizing reliability and uptime, which are critical for businesses that need real-time verification. The company's goal is to humanize the online verification process while ensuring that businesses can trust the identities of their users.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$211.6MTotal Funding

SERIES_CCompany Stage

Enterprise Software, CybersecurityIndustries

201-500Employees