Machine Learning Engineer – Applied, Product

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🕒 March 27

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Yobi

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

🏢 Enterprise

💰 $2.4M Seed Round on 2023-02

AI • SaaS • Enterprise

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.

📋 Description

• As an MLE on this team, you will primarily be focused on the models, metrics, pipelines, systems, and services that power and deliver excellence via Yobi Applications products. • This role involves a large degree of 0-to-1 development, and will rely on collaboration with Product, core signals MLEs, and leaning on your own expertise and insight in building holistic ML-powered products. • Significant "wearing your Product hat" is expected, along with driving results in the many domains required to deliver whole ML-powered products - we are a quickly growing startup after all!

🎯 Requirements

• Understanding enough about machine learning to be dangerous but not necessarily published in the field. This means you have worked on and can speak to impactful consumer-facing ML problems, e.g. recommender systems, personalization, etc. that you have directly contributed to. • Skill and attitude wise, you can quickly contribute to the "full stack" of our pipeline. This includes things such as data orchestration, build systems, and experiment tracking. Although we use a combination of open source products like Airflow, Bazel, Github CI/CD, and Spark, prior experience with these specific solutions is not needed. However, a good part of your day to day will involve interacting with these systems, so you should be comfortable with getting your hands dirty. • 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 • Annual bonus target based on personal and company performance • Health, Dental, Vision - most plans will pay little to 0 out of pocket • Unlimited PTO - we care about impact, not tracking days you’re out • 401k with company match %