Software Engineer, Machine Learning (SF)

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Identity Verification, Fraud Prevention, AI, BiotechnologyIndustries

Requirements

Candidates should possess strong product-thinking skills and an innovative mindset, with expertise in machine learning algorithms, deep learning, and computer vision. They must demonstrate independent thinking and a collaborative spirit. Preferred qualifications include 2+ years of experience as a machine learning engineer, experience with LLMs and NLP, proficiency in training vision models like YOLO or CLIP, familiarity with generative AI and deepfake detection, experience with ML frameworks such as TensorFlow or PyTorch, a background in computer vision or NLP, and knowledge of cloud platforms for ML deployments.

Responsibilities

The Software Engineer, Machine Learning will design, build, and deploy machine learning models for identity verification and fraud prevention. Responsibilities include fine-tuning LLMs for NLP capabilities, training and optimizing vision models for image recognition, conducting research in generative AI and deepfake technologies, collaborating with cross-functional teams to integrate ML solutions, and working with customers to tailor ML-driven features.

Skills

Machine Learning

Identity Verification

Fraud Prevention

Large Language Models (LLMs)

Natural Language Processing (NLP)

Vision Models

CLIP

YOLO

Image Recognition

Generative AI

Deepfake Technologies

ML Integration

Product Thinking

Large-scale ML Projects

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