Member of Technical Staff, Search

We are looking for talented individuals to help us develop state-of-the-art models for information retrieval as part of our Search team. This group is working on a range of tasks including training our embedding and reranker models. You'll have the opportunity to revolutionise people's search experience by contributing to building an intelligent, efficient and precise search system and you would have a lot of opportunity to try new things out, innovate, and productionize your ideas. Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency, involving working with a wide range of novel technologies and collaborating with other teams to integrate your work into our search infrastructure.

Responsibilities

Design, train and improve upon cutting-edge search models.; Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.; Work closely with the model serving team to ensure that inference is fast and stable.; Collaborate with product teams to develop solutions.; Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals.; Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats!

Requirements

Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR.; Familiarity with training and using various information retrieval models.; Experience leveraging Large Language Models as part of training data or evaluation pipelines.; Strong communication and problem-solving skills.

Nice to have

Experience building training and/or evaluation datasets for practical use cases.; Proficiency in other programming languages, such as C++ or Golang.; Experience using large-scale distributed training strategies with GPUs.

Benefits

A weekly lunch stipend of $75/£75 or equivalent in local currency.; Full health and dental benefits, including a separate budget for mental health.; RRSP matching, 401K, Pension Scheme.; 100% Parental Leave top-up for up to 6 months, for either parent.; Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and workspace improvement credit.; Education & learning stipend for conferences, courses, and coaching.; 6 weeks of paid vacation (30 working days).; Budget for traveling to other offices if remote, plus an annual company offsite.; Co-working benefit.; $500 home office stipend.; Daily lunch program, plenty of snacks, and regular community and social events.