Staff ML Engineer — Ranking & Personalization Lead

Taskrabbit; New York (NY); Hybrid; USD 175,000 - 230,000; Full time

Benefits offered by this job

Health insurance

401k match

Generous PTO

Job summary

Taskrabbit is seeking a Staff Machine Learning Engineer to own the core ranking system. You will architect, design, and deliver end-to-end ML solutions, partnering with Product, Data Science, Risk, and Commerce teams to drive improvements and reliability.

You will mentor engineers, shape roadmap, and pursue innovative ML approaches from R&D to production, while ensuring scalable, debiasing-focused ranking quality.

Qualifications

• Own and operate production ML systems end-to-end.
• Architect and mentor teams on ranking and ML solutions.
• Collaborate with Product, Data Science, Risk, and Commerce.

Responsibilities

• Own the ranking system architecture, model design, and production reliability.
• Lead cross-functional technical reviews and set technical direction.
• Build automated retraining pipelines and monitoring for data drift.
• Address bias and improve data quality in ranking pipelines.
• Leverage user signals to drive personalization and conversions.
• Mentor junior engineers and elevate overall technical bar.

Skills

Python

SQL

ML systems

Ranking systems

A/B testing

Cross-functional collaboration

Code reviews

Mentoring

R&D

System architecture

Education

BS/MS/PhD in CS/Statistics/OR

Tools

PyTorch

TensorFlow

scikit-learn

LightGBM/XGBoost

Kafka

Airflow

Snowflake/BigQuery

Docker/Kubernetes

dbt

Terraform

CI/CD pipelines

Job description

Taskrabbit is seeking a Staff Machine Learning Engineer to own the core ranking system. You will architect, design, and deliver end-to-end ML solutions, partnering with Product, Data Science, Risk, and Commerce teams to drive improvements and reliability.

You will mentor engineers, shape roadmap, and pursue innovative ML approaches from R&D to production, while ensuring scalable, debiasing-focused ranking quality.