Reddit - Staff Machine Learning Engineer, Consumer
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Requirements
• 6+ years of experience building, deploying, and operating machine learning systems in production • Strong programming skills in Python, Go, or similar languages, with solid software engineering fundamentals • ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) • Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) • Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure • Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions • Experience driving measurable impact through applied machine learning • Subject matter expertise in Recommender systems, search systems (lexical and semantic retrieval and ranking),, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, content understanding etc. • Familiarity with distributed systems and large-scale data processing frameworks(Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) • Experience working with real-time systems and low-latency production environments • Background in feature engineering, model optimization, and production monitoring • Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale • Advanced degree in Computer Science, Machine Learning, or related quantitative field • Potential Teams: • Potential Teams: • ML Understanding • Answer Experience • Search and Answers Relevance • Search Experience
Responsibilities
• Architect, build, and deploy large-scale ML systems powering recommendations, search, messaging, and content understanding • Lead projects from ideation → modeling → experimentation → production → iteration • Design and improve recommender systems and ranking models across surfaces (feed, search, notifications) • Optimize for user engagement, discovery, and long-term value • Build next-gen AI-powered search and recommendation experiences, including LLM-integrated systems • Develop pipelines that help users find high-quality answers and content across Reddit’s corpus • Build and optimize content embeddings and representation models for users, communities, and content • Leverage and advance LLMs and multimodal models for deeper understanding and personalization • Evaluate model performance, improve accuracy, and reduce bias • Partner with Product, Data Science, Infra, and UX teams to solve complex problems • Translate ambiguous business needs into scalable ML solutions • Mentor engineers and raise the bar across the organization • Establish best practices for ML development, experimentation, and responsible AI • Act as a thought leader across teams and domains
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 • Pay Transparency: • Pay Transparency: • This job posting may span more than one career level. • In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. • To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. • The base salary range for this position is: • $230,000—$322,000 USD • In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. • During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
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