Reddit - Senior Machine Learning Engineer, Ads Foundational Representations
Requirements
• 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models. • Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority. • Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing. • Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them. • Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers. • Familiarity with the Ads domain and/or Search/Recommender systems. • Experience with mainstream DL frameworks: PyTorch or TensorFlow. • Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP) • Tech leadership experience: mentoring junior engineers and leading complex projects. • Hands-on experience with using/fine-tuning/building LLMs.
Responsibilities
• Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models. • Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. • Building data processing and inference pipelines for the models we develop. • Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments. • Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management. • Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance. • Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
Benefits
• 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 • Private Pension plan with Employer-matching • 100% employer-sponsored group medical plan • Income Replacement Programs • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave • 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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