Machine Learning Engineer - Data Monetization

October 20, 2024

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Yobi

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Yobi is a revolutionary AI platform that augments human capabilities to enhance business communications and productivity. The company's platform integrates seamlessly into existing operational workflows, allowing users to manage all their communications, including SMS, voice calls, and social media messages, from a unified inbox. Yobi utilizes AI-driven features such as sentiment analysis, real-time transcriptions, and automatic language translation to improve customer service and streamline operations. It caters to various industries with tailored AI teammates, offering solutions like virtual receptionists and podcast hosts. Additionally, Yobi ensures seamless integration with popular business applications like Salesforce, Slack, and HubSpot, enhancing enterprise functionality and collaboration through superior human-AI partnerships.

Conversational UI • Unified Communications • AI • Synthetic Agents • Generative AI

11 - 50 employees

☁️ SaaS

🏢 Enterprise

💰 $2.4M Seed Round on 2023-02

📋 Description

• Yobi is a rapidly growing tech company in the behavioral modeling and personalization space. • Our mission is to Ethically Democratize the AI Revolution. • We have been busy assembling the largest consented user-behavioral dataset outside the walled gardens of BigTech. • We use that dataset to help companies supercharge the work of their Machine Learning and Marketing teams in privacy protective ways. • At Yobi we believe that every employee should be empowered to own 0-1 contributions and have the opportunity to achieve real impact. • As a MLE on the Data Monetization team, you will primarily be focused on building systems to ingest partner data in a privacy-safe way, and getting the most out of the data to power the rest of our models and products. • Significant "wearing your Product hat" is expected.

🎯 Requirements

• Can think creatively about data - are there ways to extract signal from partially obfuscated sources? • Knows when to use a Data Clean Room and when it's just a buzzword • Understanding enough about machine learning to be dangerous but not necessarily published in field • Worked on and can speak to some kinds of impactful consumer-facing ML problem, e.g. recommender systems, personalization, etc. • Skill and attitude wise, can quickly contribute to things such as orchestration/Airflow, Bazel (build systems, really), CI/CD, Spark (we have both Python and Scala), and other SQL-y data computation backends as needed. • Good product sense, has opinions on what we should and shouldn’t be doing both in chasing product-market fit and on the implementation side.

🏖️ Benefits

• Competitive Base Salary • Meaningful equity & financial upside - a real % of the company • Health, Dental, Vision • Flexible PTO • 401k