Apollo.io

Staff Machine Learning Engineer

India

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
SaaS, Go-to-market solutions, B2B DataIndustries

Staff Machine Learning Engineer

Position Overview

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.

About Apollo.io

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.

Responsibilities

  • Design, build, evaluate, deploy, and iterate on scalable Machine Learning systems.
  • Drive end-to-end ML initiatives, including problem definition, data exploration, modeling, productionization, and monitoring.
  • Understand and continuously improve the Machine Learning stack at Apollo.
  • Lead the development of intelligent features powered by LLMs, embeddings, ranking models, and semantic search.
  • Guide platform architecture decisions and contribute to foundational ML infrastructure (e.g., feature stores, MLOps).
  • Work cross-functionally to define AI-first product experiences and rapidly iterate toward user impact.
  • Mentor and uplevel engineers across the organization, influencing engineering best practices and technical direction.
  • Champion the use of AI internally to drive engineering and operational efficiency.

Required Qualifications

  • 8+ years of experience building and scaling machine learning systems in production environments.
  • Strong experience with LLMs and embeddings (e.g., fine-tuning, prompt engineering, vector databases).
  • Hands-on experience with Python and modern ML libraries such as PyTorch, TensorFlow, HuggingFace, or Scikit-learn.
  • Experience with cloud infrastructure (e.g., GCP), orchestration (Airflow), and experimentation platforms (e.g., mlflow, Databricks).
  • Excellent collaboration and communication skills, with the ability to influence across product and engineering teams.
  • Proven impact shipping ML-driven features in B2B SaaS products or enterprise platforms.

Preferred Qualifications

  • Bachelors, Masters, or a PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience.
  • Experience with retrieval-augmented generation (RAG), search infrastructure, or related technologies.

Employment Type

  • [Employment Type not specified]

Location Type

  • [Location Type not specified]

Salary

  • [Salary not specified]

Skills

Machine Learning
AI
Search
Recommendations
Content Generation
Scoring

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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