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3 месяца назад

Staff Machine Learning Engineer (AI)

223 000 - 294 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Staff Machine Learning Engineer (AI): Leading the design and deployment of ML systems for user growth and monetization with an accent on personalized user experiences and dating outcome optimization. Focus on building production-grade targeting models, architecting scalable ML infrastructure, and mentoring engineers to drive business impact.

Location: Must be based in New York City (Hybrid)

Salary: $223,000–$294,000 per year

Company

hirify.global is a relationship-focused dating app dedicated to creating meaningful connections and setting up great dates for millions of users worldwide.

What you will do

  • Lead end-to-end development of production-grade ML targeting models to improve user engagement and paid feature adoption.
  • Define and own the technical roadmap for ML within the Growth Product Group, aligning with company-wide priorities.
  • Collaborate with cross-functional teams of engineers, data scientists, and product managers to accelerate AI development.
  • Design and implement systems focused on availability, scalability, and operational excellence for ML workloads.
  • Mentor ML engineers on current research, best practices, and scalable machine learning techniques.
  • Ensure ethical and responsible AI usage while maintaining compliance with privacy regulations.

Requirements

  • Must be authorized to work in the United States and able to work in New York City
  • 5+ years of experience as an MLE, with at least 2 years in a senior or staff-level role.
  • Deep expertise in Python and PyTorch with a track record of deploying production-grade ML systems.
  • Strong background in system design including containerization (Docker) and orchestration (Kubernetes).
  • 4+ years of experience working in cloud environments like GCP, AWS, or Azure.
  • Experience with large datasets and streaming pipelines using tools like Airflow or Argo.

Nice to have

  • Experience with causal inference, uplift modeling, and interventional data collection.
  • Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases.
  • Background in User Growth or Monetization product areas.

Culture & Benefits

  • Comprehensive 401(k) matching up to $10,000 per year.
  • Annual learning and development stipend plus free access to Udemy.
  • 100% paid parental leave for 20 weeks for birth and non-birth parents.
  • Fertility support through Carrot, including treatments and preservation stipends.
  • Monthly $100 date stipend and free hirify.global Premium for employees.
  • Supportive environment with eight active Employee Resource Groups.

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