10 дней назад
Principal Machine Learning Engineer, Matching & Recommendations (AI)
345 000 - 410 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Machine Learning Engineer, Matching & Recommendations (AI) (AI/ML): Building scalable recommendation, ranking, personalization, and AI agent systems for Bumble’s relationship and friendship products with an accent on retrieval, experimentation, two-sided marketplace optimization, and responsible AI. Focus on designing production ML pipelines, fine-tuning LLMs, integrating agents and tools, and optimizing complex systems for meaningful member outcomes.
Location: Austin, Texas, United States; on-site
Salary: $345,000–$410,000 per year
Company
builds dating, friendship, and relationship products including Date, BFF, and Badoo.
What you will do
- Define the technical and machine learning strategy for recommendation, ranking, personalization, and AI systems across products.
- Design, develop, and deploy production-grade models and AI agents using PyTorch, foundational LLMs, sub-agents, tools, and MCP integrations.
- Architect end-to-end ML pipelines spanning data processing, model training, evaluation, and deployment with tools such as Spark and Airflow.
- Build experimentation frameworks using A/B testing and offline evaluation to improve model and product outcomes.
- Partner with Product, Engineering, Data Science, and Analytics leadership to solve ambiguous member problems and influence technical decisions.
- Mentor senior individual contributors and champion fairness, transparency, safety, and responsible AI practices.
Requirements
- 10–15 years of experience or equivalent demonstrated expertise.
- Deep hands-on experience building and deploying large-scale machine learning systems in production.
- Strong Python skills and proficiency with a major ML framework such as PyTorch or TensorFlow.
- Experience with recommendation systems, ranking models, NLP, prompting, LLM fine-tuning, and production AI agents.
- Experience designing scalable data and ML pipelines using Spark, Airflow, or similar distributed systems.
- Ability to influence technical strategy as a senior individual contributor, collaborate cross-functionally, and mentor others.
Culture & Benefits
- Work focused on building healthy and equitable relationships and friendships.
- Culture centered on Excellence, Curiosity, Respect, inclusion, and continuous learning.
- Responsible use of AI and human-led hiring decisions.
- Reasonable adjustments are available throughout the hiring process.
Hiring process
- AI tools may support interview recording, transcription, summarization, and job alignment.
- Participation in AI-supported interviews is voluntary and candidates may opt out without affecting candidacy.
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