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5 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

Staff Machine Learning Engineer (AI)

223Β 000 - 294Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’