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4 дня назад

Senior Machine Learning Scientist (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Machine Learning Scientist (AI) (Search, Retrieval, Ranking, and Content AI): Designing and deploying production-grade machine learning capabilities for a large-scale travel discovery engine with an accent on custom model components, state-of-the-art adaptation, and alignment between model metrics and booking KPIs. Focus on optimizing inference performance, building rigorous validation and monitoring frameworks, diagnosing silent failures, and mentoring machine learning scientists.

Location: London, United Kingdom; hybrid work with the option to work onsite as often as required by the team

Company

hirify.global, part of Tripadvisor Group, operates a global marketplace for travel experiences and helps travelers discover and plan activities.

What you will do

  • Lead machine learning projects for Search, Retrieval, Ranking, and Content AI capabilities within the discovery engine.
  • Design and implement custom model components and loss functions, translating research goals into iterative deliverables.
  • Evaluate and adapt state-of-the-art architectures while balancing model quality, inference speed, memory usage, and execution costs.
  • Optimize production models through techniques such as quantization and distillation.
  • Build golden datasets, leaderboards, backtesting, slice-based evaluation, and automated checks for leakage, overfitting, regressions, concept drift, and feature shifts.
  • Partner with engineering leads on compute and GPU infrastructure, model handovers, fallback systems, post-mortems, and mentoring of mid-level and associate machine learning scientists.

Requirements

  • Master’s or Ph.D. degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.
  • 5+ years of industry experience developing, validating, and deploying large-scale machine learning models in production environments.
  • Strong practical and theoretical foundation in machine learning, feature engineering, and deep learning.
  • Ability to adapt, hybridize, and tune state-of-the-art architectures for non-linear business problems.
  • Mastery of Python and deep learning frameworks such as PyTorch, PyTorch Lightning, or TensorFlow.
  • Familiarity with data versioning and experiment tracking tools.

Nice to have

  • Experience with multi-task learning, ranking, Content AI, or Agentic AI.
  • Experience with next-generation retrieval pipelines, multi-stage ranking systems, and Content AI stacks.
  • Advanced sequential recommendation systems modeling real-time user session dynamics.
  • Graph Neural Networks, knowledge graphs, and multi-modal representation learning for travel entities.
  • Generative AI and Agentic AI workflows for conversational discovery.

Culture & Benefits

  • Remote-friendly collaboration across a worldwide team, with flexible onsite participation based on lifestyle and team requirements.
  • Flexible scheduling designed to support work-life balance.
  • Competitive compensation including base salary and annual bonuses.
  • Health benefits, employee assistance programs, donation matching, tuition assistance, lifestyle benefits, and travel perks.
  • Traveler-first, execution-focused, collaborative, inclusive, and data-driven working culture.

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