
Senior Staff Machine Learning Engineer, Ads Targeting and Retrieval
Reddit, Inc.
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $266,000 - $372,400 per year
Job Level
Tech Stack
About the role
- Own end-to-end design and execution of ML-based targeting products like auto targeting, user lookalikes etc.
- Drive research direction and technical roadmap for complex projects, lead day to day project execution, and contribute meaningfully to team vision and strategy
- Be a thought leader for the team and collaborate closely with product managers and cross-functional partners to develop and prioritize the roadmap based on data analysis, industry research and product research
- Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models, LLMs) with a focus on improving advertiser outcomes
- Provide mentorship to junior MLEs
- Own offline & online experimentation of ML models for improving targeting products
- Work on large scale data systems, and product integration
- Collaborate closely with multiple stakeholders cross product, engineering, research and marketing
Requirements
- Tech lead experience in a product ML team driving the research and technical direction to improve business outcomes using applied ML
- Experience with ads retrieval modeling, ranking or recommendation systems
- Experience with deep learning models for retrieval (two tower, GNNs, transformers, LLMs)
- 8+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models
- 5+ years of experience building machine learning models with Tensorflow/Pytorch
- Experience with large scale data processing & pipeline orchestration tools like Spark, Dataflow, Kubeflow, Airflow, BigQuery
- Experience working with nearest-neighbor search systems is a big plus
- Experience working with cross functional stakeholders across research, product & infrastructure to productize ML research
- Experience with deep learning, representation learning or transfer learning is preferred
- Tech lead experience in a product team is strongly preferred
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningads retrieval modelingranking systemsrecommendation systemsTensorFlowPyTorchdata processingpipeline orchestrationmodel evaluation
Soft Skills
leadershipcollaborationmentorshipstrategic thinkingcommunication