Machine Learning Engineer, Data Science

3 weeks ago


San Francisco, California, United States Substack Full time
Job Description:

As a machine learning engineer at Substack, you will play a pivotal role in developing and implementing cutting-edge AI solutions to enhance our product offerings. You will be part of a dynamic team, collaborating closely with software engineers and data scientists, to bring machine learning models into our codebase and integrate them seamlessly into our products.

Substack's compensation package includes a market-competitive salary of $205,000, equity for all full-time roles, and exceptional benefits. This role offers an exciting opportunity to shape the future of our technology stack and make a significant impact.

Responsibilities:
  • Lead Substack's thinking about AI adoption and integration of AI tools and techniques
  • Collaborate with cross-functional teams to identify and define AI opportunities that align with our product roadmap
  • Develop, train, and deploy AI models using Python and popular AI frameworks
  • Leverage off-the-shelf AI tools and systems to accelerate Substack's ability to incorporate AI functionality into its product and workflows
  • Integrate AI models and pipelines into our main JavaScript / TypeScript apps
  • Optimize and fine-tune AI models for performance, scalability, and efficiency
  • Design and implement data pipelines for data preprocessing, feature engineering, and model training

Requirements:
  • 7+ years of relevant experience with data and AI systems
  • Strong programming skills in Python and experience with Python libraries commonly used in AI (e.g. Transformers and Tensorflow)
  • Solid understanding of AI algorithms, deep learning, and statistical modeling
  • Independent and autonomous, owning your work and contributing to the team as a leader
  • A commitment to excellence in production systems


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