Staff Machine Learning Engineer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
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: $223,000β$294,000 per year
Company
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 Premium for employees.
- Supportive environment with eight active Employee Resource Groups.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β