• Paige AI

    Human interaction. Artificial Intelligence.

  • Our vision

    We believe in the power of machine learning and cognitive services to empower human interactions. Our team of subject matter experts and technologists build artificial intelligence solutions using conversational mapping and natural language processing in the ML-NLP domain and with user-centric differential privacy protection.

    Get Paige for Consumer Solutions

    Virtual assistants for consumer services

    Concierge services have been provided by credit card companies, subscription services, and membership benefits but were typically serviced from call centers and offshore service centers. Whether you’re providing solutions for shopping, task completion, or a support system for busy professionals, parents, or startups, Paige can help.

    Get Paige for Legal Solutions

    The always-on legal assistant

    Skilled paralegals are highly sought-after by law firms and corporate legal teams. But building a trained legal team for follow-the-sun support is hard to do. Retention, training, and staffing is a challenge, and burn-out is a threat for even the most well managed teams. Paige solves this problem by providing AI-augmented legal support round-the-clock.


    Surfacing thoughtful discussion on the interface between machines and people.

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  • we're hiring!

    We always strive for the best.

    Engineering - Machine Learning Engineer

    • What will you do
      • Work on a large-scale conversational AI system, consisting of feature engineering / storage,  deep learning training pipelines, offline evaluation systems, and online serving infrastructure.
      • Work on a team to understand user’s interests and build the systems and machine learning models that deliver recommendations to users.
      • Push the boundary of natural language processing (NLP) technologies and combine artificial and human intelligence to understand conversations.
      • Apply state-of-the-art machine learning technologies to find the most relevant answers and help users get value from our technology.
      • Collaborate with product scientists, product managers, and other engineers across the company.
    • Who are you
      • You have experience working on production machine learning systems at scale, data mining, search, ranking, recommendations, and/or natural language processing.
      • 4+ years of software engineering experience
      • You have deep understanding of machine learning models, feature engineering, and how to evaluate performances of machine learning systems.
      • You are passionate about using technology to help people discover answers and connect to professionals.

    Privacy Team - Privacy Legal Assistant

    • What You'll Do
      • Provide legal guidance to internal teams on privacy matters that affect the company, with an eye towards how it impacts the company globally
      • Review products, programs and initiatives to advise on a range of global laws, regulations and industry standards, with a focus on privacy/data security, consumer protection, content/media, and intellectual property laws and regulations
      • Counsel business partners on domestic and international data privacy and security laws, regulations, and industry best practices, particularly related to software and cloud services
      • Act as subject matter expert and resource on issues related to privacy, security and data protection
      • Respond to privacy and security-related customer and regulatory inquiries and investigations, and draft regulatory filings, coordinating such responses with global positions
      • Draft external privacy notices and disclosures, and manage/update internal policies and procedures to ensure compliance with global laws bearing on privacy and cybersecurity
      • Work effectively across business units and internal functions to resolve complex business and risk management issues
      • Lead outside counsel relationships as necessary
    • About You
      • 10+ years relevant experience
      • Proven high-performing legal experience in an in-house environment
      • Ability to work well under pressure with diligence, organization, and minimal supervision, and provide practical, business-friendly advice to clients
      • Strong analytical and strategic skills; ability to drive issues to a quick resolution that factors in many non-legal variables, such as brand-risk, communications, government relations, tax, insurance, finance and other business units
      • High degree of professional ethics and integrity
      • Ability to anticipate legal issues or risks and to build the processes and systems to prevent them from occurring
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