Senior Machine Learning Scientist (Experiences)
TripAdvisorResponsibilities
- Lead machine learning projects and own strategy for Search, Retrieval, Ranking, and Content AI capabilities.
- Design and implement custom model components and loss functions while breaking research goals into iterative milestones.
- Evaluate and adapt state-of-the-art architectures, balancing model quality, inference speed, memory usage, and execution cost.
- Optimize production models using techniques such as quantization and distillation.
- Create golden datasets, leaderboards, backtesting, slice-based evaluation, and validation automation to prevent leakage, overfitting, and regressions.
- Partner with engineering leads on compute and GPU infrastructure and define model failure modes, edge cases, confidence thresholds, and fallback requirements.
- Diagnose algorithmic bugs, detect silent failures such as concept drift and feature distribution shifts, and lead post-mortems.
- Mentor mid-level and associate machine learning scientists and review their experimental approaches.
Requirements
- Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a highly quantitative field.
- At least 5 years of industry experience developing, validating, and deploying large-scale machine learning models in production.
- Strong practical and theoretical knowledge of machine learning, feature engineering, and deep learning.
- Demonstrated ability to adapt, hybridize, and customize state-of-the-art architectures for complex business problems.
- Experience with multi-task learning, ranking, Content AI stacks, or agentic AI is highly desirable.
- Mastery of Python and deep learning frameworks such as PyTorch, PyTorch Lightning, or TensorFlow.
- Familiarity with data versioning and experiment tracking tools.
- Desired experience includes retrieval pipelines, multi-stage ranking, sequential recommendation systems, graph neural networks, knowledge graphs, multimodal representation learning, generative AI, and agentic AI workflows.
Benefits
- Remote-friendly work arrangement with flexibility to work onsite as often as desired or required by the team.
- Flexible schedule and work-life balance support.
- Annual charitable donation matching.
- Tuition assistance for qualified programs.
- Annual lifestyle benefit usable for travel, wellness, or other purposes.
- Employee travel discounts and other travel perks.
- Employee assistance program.
- Health benefits with competitive premiums.
- Generous referral awards.
- Base salary and annual bonuses are included in the compensation package, but no amounts are stated.
Categories
About TripAdvisor
Tripadvisor, the world's largest travel guidance platform*, helps hundreds of millions of people each month** become better travelers, from planning to booking to taking a trip. Travelers across the globe use the Tripadvisor site and app to discover where to stay, what to do and where to eat based on guidance from those who have been there before. With more than 1 billion reviews and opinions of nearly 8 million businesses, travelers turn to Tripadvisor to find deals on accommodations, book experiences, reserve tables at delicious restaurants and discover great places nearby. As a travel guidance company available in 43 markets and 22 languages, Tripadvisor makes planning easy no matter the trip type. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), own and operate a portfolio of travel media brands and businesses, operating under various websites and apps, including the following: www.bokun.io, www.cruisecritic.com, www.flipkey.com, www.thefork.com, www.helloreco.com, www.holidaylettings.co.uk, www.jetsetter.com, www.niumba.com, www.seatguru.com, www.singleplatform.com, www.vacationhomerentals.com, www.viator.com. * Source: SimilarWeb, unique users de-duplicated monthly, September 2023 ** Source: Tripadvisor internal log files