Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
Communication @ 7
LLM
Machine Learning @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Reddit is looking for an experienced engineering manager to lead its Media Ranking teams. The role involves leading a high-impact team of Machine Learning Engineers focused on improving relevance, personalization, and discovery across Reddit's core product, with an emphasis on media including video and audio.
Responsibilities
- Define the technical vision and long-term roadmap for Feed Relevance, aligning machine learning solutions with Reddit's product and business objectives.
- Coach and support team members while creating opportunities to grow their skills and impact.
- Partner with cross-functional teams to identify opportunities, set expectations, and communicate the team's work.
- Oversee the design, development, and optimization of relevance, discovery, and content distribution systems.
- Collaborate with platform and infrastructure teams on next-generation AI-powered solutions.
- Maintain high standards for system performance, reliability, and efficiency in alignment with customer needs and responsible AI principles.
- Partner with recruiting to attract, interview, and hire machine learning engineers and grow a world-class team.
Requirements
- 5+ years of experience building and managing high-performing machine learning teams.
- Hands-on experience with large-scale production machine learning systems, including transformer-based architectures, sequence models, or large language models (LLMs).
- Strong understanding of recommender systems, including candidate retrieval, ranking, value modeling, ecosystem dynamics, and measurement strategies.
- Ability to develop and communicate a clear technical strategy supporting broader company objectives and internal customer needs.
- Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.
- Exceptional interpersonal, communication, and collaboration skills, including the ability to explain complex technical topics to diverse audiences and build strong cross-functional relationships.
Benefits
- Comprehensive healthcare benefits and income replacement programs.
- 401(k) with employer match.
- Global benefits covering workspace, professional development, and caregiving support.
- Family planning support.
- Gender-affirming care.
- Mental health and coaching benefits.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave.
- Equity in the form of restricted stock units.
Compensation
The base salary range is $266,000–$372,400 USD per year. The position may also be eligible for commission depending on the role offered.
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