Staff Engineer, Experimentation Platform & Adaptive ML

LaunchDarkly; United States; Hybrid; USD 182,600 - 295,350; Full time

Benefits offered by this job

Restricted Stock Units

Health insurance

Vision insurance

Dental insurance

Mental health benefits

Job summary

LaunchDarkly is seeking a Staff Engineer for its Experimentation team in the United States. This role focuses on building large-scale experimentation platforms that enable data-driven decision-making through A/B testing and statistical validity. The candidate should possess over 10 years of applicable experience, with strong skills in applied statistics and machine learning, particularly in contexts like contextual bandits and Bayesian optimization. The job offers a competitive salary ranging from $182,600 to $295,350 based on geographic zones, alongside other benefits including restricted stock units and health insurance.

Qualifications

• 10+ years building large-scale experimentation platforms.
• Deep knowledge in applied statistics including hypothesis testing and variance reduction.
• Experience with adaptive experimentation ML techniques.

Responsibilities

• Build the experimentation statistical engine ensuring statistical correctness.
• Design warehouse-native experimentation for analysis in customer warehouses.
• Lead adaptive experimentation with contextual bandits and Bayesian optimization.

Skills

Applied statistics

Machine Learning

Technical leadership

Modular computation layers

Statistical correctness

Tools

Go

Python

Snowflake

Databricks

BigQuery

AWS

GCP

Event-driven architectures

Job description

LaunchDarkly is seeking a Staff Engineer for its Experimentation team in the United States. This role focuses on building large-scale experimentation platforms that enable data-driven decision-making through A/B testing and statistical validity. The candidate should possess over 10 years of applicable experience, with strong skills in applied statistics and machine learning, particularly in contexts like contextual bandits and Bayesian optimization. The job offers a competitive salary ranging from $182,600 to $295,350 based on geographic zones, alongside other benefits including restricted stock units and health insurance.