28 days ago
Remote, United KingdomStaff+
Responsibilities
- Provide technical leadership and mentorship to machine learning engineers by driving designs, reviews, best practices, and quality standards.
- Develop technical strategy for content-based embeddings and advertising relevance in collaboration with team and 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.
- Build data processing and inference pipelines for machine learning models.
- Evaluate features through qualitative and quantitative analysis, internal benchmarks, recommender-system offline metrics, and online experiments.
- Improve the reliability, scalability, and performance of ML systems through automated testing, monitoring, and model-management practices.
- Review modeling and coding work and collaborate cross-functionally 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.
- Staff-level technical leadership experience mentoring engineers, establishing standards, and leading complex cross-functional projects without direct people-management authority.
- Strong communication skills for translating complex technical concepts to varied audiences.
- A strong track record working on large-scale, content-rich NLP or computer vision problems and using embeddings to solve them.
- A data-driven approach to machine learning system development and willingness to investigate underlying metrics.
- Familiarity with the advertising domain and/or search or recommender systems.
- Experience with mainstream deep learning frameworks such as PyTorch or TensorFlow.
- Preferred experience with Python, Airflow, BigQuery, Ray, Kubernetes, Kafka, and GCP.
- Preferred hands-on experience using, fine-tuning, or building large language models.
Benefits
- Flexible remote work from anywhere in the UK or the Netherlands.
- Global benefits supporting workspace, professional development, and caregiving.
- Family planning support, gender-affirming care, and mental health and coaching benefits.
- Group personal pension scheme with employer matching, private medical and dental coverage, and income replacement programs.
- Bike to Work scheme, flexible vacation, paid volunteer time off, and generous paid parental leave.
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.