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Developer Advocate - Remote

Posted 42 weeks ago
Software Development
Full Time
Worldwide
$120K - $220K/year

Overview

As the first Developer Advocate hire at Chalk, you will help developers learn about Chalk and understand the best ways to integrate Machine Learning Infrastructure. You will inform how Chalk can best serve our current and future customers. You will have the incredible opportunity to join us as an early employee and make a significant impact at a high-growth start-up.

In Short

  • Showcase Chalk's product through documentation of example products and use cases
  • Foster engagement within the developer community via online platforms
  • Serve as a primary contact and cultivate expertise in ML infrastructure

Requirements

  • A software engineer background with a passion for leveraging coding expertise to educate fellow engineers through product documentation and writing
  • Bachelor's Degree in Computer Science
  • Extensive technical expertise in AI/ML, MLOps, and data engineering
  • Proficient in Python with knowledge of other programming languages
  • Hands-on experience with data technologies including Apache Spark, Kafka, dbt, and data warehouses, managing large-scale datasets

Benefits

  • Comprehensive medical, dental, and vision insurance
  • Flexible Spending Account (FSA), Health Savings Account (HSA)
  • Expert Healthcare Guidance
  • Retirement savings
  • 15 company holidays each year
  • 15 days of personal time off each year
  • Flex Commuter Benefits
  • Daily lunch and dinner on Chalk
  • Office is fully-stocked with drinks and snacks to fuel your work day
  • Staying late? Dinner is on us
  • Staying even later? Grab an Uber / Lyft home on Chalk

Chalk

Chalk

Chalk is an innovative data platform that specializes in enhancing machine learning and generative AI through a superior developer experience. The company enables data teams to define features and their dependencies using Python across various environments, including online, streaming, and batch. By utilizing a Rust-based engine to create parallel pipelines, Chalk ensures temporal consistency for both training sets and live feature values. The company focuses on allowing engineers, data scientists, and analysts to concentrate on their core products while effectively managing their data infrastructure.

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