Responsibilities
- Develop and enhance our Search Retrieval process - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on models for semantic retrieval
- Train the latest and greatest ranking models that can learn across multiple objectives and display the most relevant results across numerous search intents
- Build and deploy Query Understanding systems using state-of-the-art ML models, small language models, and the newest LLMs for gen AI workflows.
- Use LLMs with Prompt Engineering, Fine Tuning, and other advanced gen AI techniques to build and iterate on Reddit Answers, all while keeping low latencies and top of the line quality!
- Generate features at the intersection of AI/ML and UI that provide users with useful information about the relevance of search results.
- Leverage your technical expertise to ensure our pipelines have robust monitoring, high uptime and low latency, while collaborating with other technical leaders, product managers, data scientists, ML modelers, and platform engineers to develop a long-term roadmap that aligns with the needs of a constantly evolving product ecosystem.
- This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.
Basic qualifications
- 5-10+ years of industry experience as a machine learning engineer
- Experience in building and productionizing machine learning models using PyTorch or Tensorflow.
- Experience working with search & recommender systems or query understanding systems at scale.
- Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Golang.
- Experienced with GraphQL, REST, HTTP, Thrift or gRPC basics, and the ability to design and implement maintainable APIs. Deep systems level understanding of industry scale recommendation systems.
- Experience of developing applications using large scale data stack - e.g. Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis etc.
- Lead, coach, and grow a team of engineers across the stack, including mobile, frontend, and backend
- Collaborate with designers and product managers to discover and build new Ad functionality and products. Be a thought leader in this process.
- Maintain and enhance the team culture of fast iteration, experimentation, and collaboration.
- Ensure the long term success of both the product and the growth of our people
- Participate in and be the ultimate owner of the full development cycle: product ideation, design, development, QA, experimentation, analysis, and launch. You’ll be brainstorming, giving feedback on design docs, product specs and mocks, and generally helping out wherever is needed.
- Collaborate with multiple teams across the entire company to make SMBs successful on reddit
- Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Engineering, Applied Sciences, Mathematics, Physics, or a related field
- Engineering leadership experience working across multiple teams
- At least 2 years of experience working on Ads products and/or growth engineering
- 5+ years of experience in software engineering
- Experience coordinating large-scale, cross-functional efforts that span different teams, and driving alignment
- Experience working with multiple teams in product & design
- Knowledge of full stack product development practices (Frontend, Mobile, Backend)
Preferred qualifications
- Experience working on SMB related products/projects
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Tags & focus areas
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