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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.
Job Responsibility:
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
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
What we offer:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend