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Fal

NLP-based sentiment & anomaly detection

Software Engineer - Machine Learning, Backend

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$150k - $200k /yrIn-person

About the Job

Requirements

  • At least 3 years of demonstrated experience building HTTP services with Python.
  • Experience designing, analyzing, and improving the efficiency, scalability, and stability of system resources.
  • Proficiency in version control practices and CI/CD pipelines.

Responsibilities

  • Identify, design, and develop foundational HTTP proxies and fal serverless endpoints for third-party model providers.
  • Write clear, well-tested, and maintainable software.
  • Analyze and improve the robustness and scalability of existing proxies, APIs, and fallback infrastructure.
  • Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance.

About the Company

Fal

NLP-based sentiment & anomaly detection

Fal.ai enables data-driven businesses to improve analytics using natural language processing and machine learning, focusing on sentiment analysis and anomaly detection within dbt data models. It analyzes text such as customer reviews, support tickets, and surveys to classify sentiment (positive, negative, neutral) and spots unusual patterns in data transformations. The service integrates with existing data infrastructure that uses dbt models and is sold through tiered subscriptions that include basic sentiment analysis, advanced anomaly detection, and premium support. Its goal is to help organizations make informed decisions and improve customer satisfaction by delivering continuous analytics enablement and actionable insights.

Company size
201-500
Company stage
Late Stage VC
Total funding
$2.2B
Headquarters
Seattle, WA
Founded
2021

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