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10 дней назад

Principal Machine Learning Engineer, Matching & Recommendations (AI)

345 000 - 410 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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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

hirify.global builds dating, friendship, and relationship products including hirify.global Date, BFF, and Badoo.

What you will do

  • Define the technical and machine learning strategy for recommendation, ranking, personalization, and AI systems across hirify.global 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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