Senior ML Engineer, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
SaaS, Artificial Intelligence, AI & Machine LearningIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and have at least 5 years of experience in Machine Learning engineering. Strong experience with Python and relevant ML libraries such as TensorFlow, PyTorch, or scikit-learn is required, along with a solid understanding of statistical modeling and machine learning algorithms.
Responsibilities
As a Senior Machine Learning Engineer, you will design, build, evaluate, deploy, and iterate on scalable Machine Learning systems, understand and improve the ML stack at Apollo, build systems for personalization, evaluate system performance against business objectives, develop and maintain scalable data pipelines, implement automated monitoring and self-healing features, and write unit/integration tests while productionizing data and ML workflows.
Skills
Machine Learning
Model Deployment
Algorithm Development
Data Analysis
Scalability
Evaluation
Evaluation Metrics
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.
Key Metrics
San Francisco, CaliforniaHeadquarters
2015Year Founded
$244.3MTotal Funding
SERIES_DCompany Stage
Enterprise Software, CybersecurityIndustries
1,001-5,000Employees