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Machine Learning Engineer
2 months ago
We are seeking a highly skilled Machine Learning Engineer to join our team at Substack Inc. as a key member of our technology team. As a Machine Learning Engineer, you will play a crucial role in developing and implementing cutting-edge machine learning solutions to enhance our product offerings.
Key Responsibilities- Lead Machine Learning Adoption: Lead Substack's thinking about ML adoption and integration of ML tools and techniques to drive business growth and innovation.
- Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams to identify and define machine learning opportunities that align with our product roadmap and drive business outcomes.
- Develop and Deploy Machine Learning Models: Develop, train, and deploy machine learning models using Python and popular ML frameworks to drive business growth and innovation.
- Integrate Machine Learning Models: Integrate machine learning models and pipelines into our main JavaScript / TypeScript apps to drive business growth and innovation.
- Optimize and Fine-Tune ML Models: Optimize and fine-tune ML models for performance, scalability, and efficiency to drive business growth and innovation.
- Design and Implement Data Pipelines: Design and implement data pipelines for data preprocessing, feature engineering, and model training to drive business growth and innovation.
- Deploy and Own Integrated Product Experiences: Deploy and own integrated product experiences and internal tools to drive business growth and innovation.
- 7+ Years of Relevant Experience: 7+ years of relevant experience with data and ML systems, including strong programming skills in Python and experience with Python libraries commonly used in machine learning.
- Strong Machine Learning Skills: Solid understanding of machine learning algorithms, deep learning, and statistical modeling.
- Independent and Autonomous: Independent and autonomous, with the ability to own your work and be a leader.
- High Standards: Hold yourself and others to a high standard when working on production systems.
- Collaboration: Enjoy collaboration with a diverse group of stakeholders while bringing your own unique experience and background to the team.
- Proficiency in JavaScript: Proficiency in JavaScript for seamless integration of machine learning models into our codebase.
- Familiarity with Cloud Platforms: Familiarity with cloud platforms (e.g. AWS or Modal).
- Experience with Consumer Web Applications: Experience with consumer web applications at scale.
