Reddit is seeking a Senior Machine Learning Engineer to join the Growth team responsible for building users' very first experiences on Reddit, aiming to create engaging loops and encourage users to return. The role focuses on improving user retention and growth through personalized experiences, utilizing ML and LLMs.
Requirements
- 5+ years of experience building deep learning models using mainstream ML frameworks (TensorFlow, PyTorch).
- 5+ years of experience training, evaluating, testing, and deploying industry-level models.
- 5+ years of experience orchestrating data generation pipelines on large-scale datasets.
- Successful track record of applying machine learning techniques to real-world problems.
- Fluent in data analysis and SQL.
- First-hand familiarity with AB testing using an experimentation platform.
- Experience writing production-quality software (preferred Python or Go).
Responsibilities
- Use ML and/or LLMs to personalize first and early user experiences on Reddit.
- Build systems for real-time feature fetching and model inference.
- Build systems for recurring training of models using modern architectures (deep learning, transformers or other sequential models).
- Work closely with ML Platform teams to provide feedback on and improve Reddit’s ML infrastructure.
- Work with Product and Design partners to identify user problems, and design solutions to these problems using ML and/or LLMs.
- Contribute meaningfully to our team’s strategy.
- Participate in product reviews and team meetings, providing technical insight.
Other
- Fully remote within US or Canada
- Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences.
- Passionate about building delightful products for users.
- Strong organizational skills, the ability to prioritize tasks and keep projects on schedule.
- Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity.
