Software Engineer, Machine Learning
April 12
🏢 In-office - San Francisco
Description
• Lead Substack’s thinking about ML adoption and integration of ML tools and techniques. • Collaborate with cross-functional teams to identify and define machine learning opportunities that align with our product roadmap. • Develop, train, and deploy machine learning models using Python and popular ML frameworks. • Leverage off-the-shelf ML tools and systems to accelerate Substack’s ability to incorporate ML functionality into its product and workflows. • Integrate machine learning models and pipelines into our main JavaScript / TypeScript apps. • Optimize and fine-tune ML models for performance, scalability, and efficiency. • Design and implement data pipelines for data preprocessing, feature engineering, and model training. • Deploy and own integrated product experiences and internal tools.
Requirements
• 5+ years of relevant experience with data and ML systems. • Strong programming skills in Python and experience with Python libraries commonly used in machine learning (e.g. Transformers and Tensorflow). • Solid understanding of machine learning algorithms, deep learning, and statistical modeling. • Independent and autonomous. We’re too small to micromanage, and expect that every person at the company owns their work and can be a leader. • Hold yourself and others to a high standard when working on production systems. • Enjoy collaboration with a diverse group of stakeholders while bringing your own unique experience and background to the team.
Benefits
• Market-competitive salary • Equity for full-time roles • Exceptional benefits
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