Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Вакансия даёт чёткую техническую ответственность за ML-системы в продакшене и возможность наставничества, хотя сочетание исследований, оптимизации и надёжности систем может быть требовательным.
?Широкая ответственность
Современный ML-стек
Влияние на продукт
Поддержка обучения
Гибкий формат
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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