28 days ago
Remote, NetherlandsStaff+
Responsibilities
- Provide technical leadership and mentorship to machine learning engineers, including driving designs, reviews, standards, and quality practices.
- Develop technical strategy for content-based embeddings and advertising relevance in collaboration with organizational leadership.
- Develop and iterate on embedding models for advertising use cases, including aggregation pipelines, two-tower architectures, and sequence models.
- Use local and third-party LLMs and VLMs to extract representations, develop evaluation methods, prompt-tune and fine-tune large models, and build embeddings.
- Build data processing and inference pipelines for machine learning models.
- Evaluate features through qualitative and quantitative analysis, internal benchmarks, downstream recommender-system metrics, and online experiments.
- Improve the reliability, scalability, and performance of ML systems through automated testing, monitoring, and model-management practices.
- Participate in modeling and coding reviews and provide feedback on team members' work.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
Requirements
- 7+ years of hands-on experience designing, training, evaluating, testing, and deploying industry-level machine learning models.
- Demonstrated staff-level technical leadership, including mentoring engineers, raising engineering standards, and leading complex cross-functional projects without direct people-management authority.
- Strong experience solving content-rich NLP and computer vision problems at scale using embeddings.
- A data-driven approach to machine learning system development and willingness to investigate underlying metrics.
- Familiarity with the ads domain and/or search or recommender systems.
- Experience with PyTorch or TensorFlow.
- Preferred experience with Python, PyTorch, Airflow, BigQuery, Ray, Kubernetes, Kafka, and Google Cloud Platform.
- Preferred experience mentoring junior engineers, leading complex projects, and using, fine-tuning, or building LLMs.
- Strong verbal and written communication skills for translating complex technical concepts to different audiences.
Benefits
- Global benefit programs covering workspace, professional development, and caregiving support.
- Family planning support, gender-affirming care, and mental health and coaching benefits.
- Private pension plan with employer matching and a 100% employer-sponsored group medical plan.
- Income replacement programs, flexible vacation, paid volunteer time off, and generous paid parental leave.
- Remote work is available from anywhere in the UK or the Netherlands under Reddit's flexible-first workforce model.
Tech Stack
Categories
About Reddit
Reddit builds a social news and discussion platform organized into user-created forums (“subreddits”) for consumers, creators, and communities. It monetizes primarily through advertising tools for brands and self-serve advertisers, plus a Premium subscription; developers can access data via its API. Founded in 2005 and headquartered in San Francisco, Reddit became a public company on the NYSE in 2024 and hosts over 100,000 active communities.