Apollo.io

Senior Machine Learning Engineer II

India

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software as a Service (SaaS), Artificial Intelligence, AI & Machine LearningIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-time
  • Salary: Not specified

As a Senior Machine Learning Engineer on the Intelligence team, you will be responsible for building and productionizing Machine Learning (ML) models and other smart algorithms for various Apollo products. These products may include Search, Recommendations, Content generation, Conversations or similar. The mission of the Intelligence team is to leverage Apollo’s massive scale data to understand and predict Apollo users’ behaviors and optimize their experience at all stages of their product journey.

Requirements

  • Documentation First Approach: Loves to scale up by writing things down to share knowledge asynchronously.
  • Communication Skills: Excellent communication skills; be able to work with stakeholders to develop and define key business questions and build data sets that answer those questions.
  • Ambiguity Resolution: Excellent ambiguity resolution skills; be able to break down ambiguous problems into simpler milestones and delegate to junior engineers.
  • Self-Motivated and Self-Directed.
  • Inquisitive: Able to ask questions and dig deeper.
  • Organized, Diligent, and Great Attention to Detail.
  • Integrity: Acts with the utmost integrity.
  • Curiosity and Openness: Genuinely curious and open; loves learning.
  • Critical Thinking.

Responsibilities

  • Design, build, evaluate, deploy and iterate on scalable Machine Learning systems.
  • Understand the Machine Learning stack at Apollo and continuously improve it.
  • Build systems that help Apollo personalize their users’ experience.
  • Evaluate the performance of machine learning systems against business objectives.
  • Develop and maintain scalable data pipelines that power our algorithms.
  • Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows.
  • Write unit/integration tests and contribute to engineering wiki.

Company Information

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides 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. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

Working at Apollo: We are a remote-first inclusive organization focused on operational excellence. Our way of working ensures clear expectations and an environment to do your best work with ample reward.

Skills

Machine Learning
Model Deployment
Data Analysis
Algorithm Development
Scalability
ML Stack Improvement

Apollo.io

Sales intelligence and engagement platform

About Apollo.io

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.

San Francisco, CaliforniaHeadquarters
2015Year Founded
$244.3MTotal Funding
SERIES_DCompany Stage
Enterprise Software, CybersecurityIndustries
1,001-5,000Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Financial Planning

Risks

Rapid growth may strain Apollo.io's operational capabilities and customer service.
New executive hires could lead to strategic shifts misaligned with customer expectations.
Emerging competitors like Zitadel may challenge Apollo.io's market position.

Differentiation

Apollo.io offers verified contact data for over 210 million B2B contacts.
The platform integrates sales intelligence with engagement tools in one unified solution.
Apollo.io's compliance with ISO, SOC 2, and GDPR ensures high data security standards.

Upsides

Apollo.io ranked 125 on the 2024 Deloitte Technology Fast 500 with 954% growth.
The company raised $250 million, reaching a valuation of $1.6 billion.
Apollo.io's multi-channel outreach aligns with rising sales engagement trends.

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