Staff Machine Learning Engineer
Madhive- Full Time
- Expert & Leadership (9+ years)
Apollo.io is seeking a Staff Machine Learning Engineer to join our Intelligence team. This role is pivotal in leading mission-critical initiatives that power ML-driven user experiences across search, recommendations, content generation, scoring, and more. You will be instrumental in advancing Apollo as an AI-native product, developing intelligent, personalized, and highly automated features that scale. You will collaborate closely with engineers, product managers, and data scientists to build machine learning systems that enhance user value and drive the future of our AI platform.
Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally. Founded in 2015, Apollo.io is one of the fastest-growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. We provide sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. Apollo raised a Series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, with JD Sherman, former President and COO of Hubspot, among its board members. As an AI-native company, we are redefining how businesses drive pipeline and revenue.
Sales intelligence and engagement platform
Apollo.io provides a platform designed to enhance sales processes and improve outreach for businesses. Its main features include prospecting intelligence, which helps users identify and research potential leads, and enrichment job change alerts that keep databases accurate with extensive data points. The platform also offers sales engagement analytics, allowing users to create multi-channel outreach sequences. Additionally, Apollo.io supports API integrations for data enrichment and custom workflows. Unlike many competitors, Apollo.io focuses on a subscription-based model that offers various pricing tiers, catering to both small businesses and large enterprises. The company's goal is to optimize sales strategies and increase revenue for its clients while ensuring data privacy and security through compliance with industry standards.