Senior ML Engineer: Feed Ranking & Personalization

rednote

New York (NY)

On-site

USD 120,000 - 210,000

Full time

4 days ago
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Job summary

rednote is seeking an innovative Machine Learning Engineer to join the Algorithm team in NY. This role focuses on 0→1 development for feed ranking and personalization systems, owning architecture and features from design to production.

You will collaborate with cross-functional teams to deliver scalable models and measurable impact, including A/B testing and low-latency serving in a fast-paced environment.

Qualifications

  • A bachelor's or higher in computer science, machine learning, statistics, math, or a similarly quantitative field.
  • 5+ years in industry as a machine learning engineer or applied researcher, having led and shipped multiple models & products
  • Proven hands-on experience building and deploying Recommender Systems, Feed Ranking, Search Ranking, or relevant models
  • Strong proficiency in Python and ML frameworks (PyTorch, SFT techniques, etc) and an understanding of how to serve these models with low latency
  • Comfortable with large scale data work such as Spark or Flink

Responsibilities

  • Design and build the ranking stack end to end, from candidate retrieval, pre-ranking, final ranking, to the assembly layer that decides what the feed actually looks like, and own it in production.
  • Turn raw signals into features: user behavior, context, and the outputs of the content-understanding models we run on every post at upload time.
  • Work with our backend and infra engineers on serving: feature stores, inference, latency budgets.
  • Partner closely with cross functional teams (product, design, operations) to build innovative experiences
  • Design and execute A/B testing framework to evaluate new algorithms. Establish the baseline metrics and iteratively ship new models to drive immediate and measurable impact.
  • Balance multiple, sometimes competing, ranking objectives such as: relevance, content diversity, freshness, and creator fairness, to ensure a healthy product ecosystem.
  • Set the engineering bar as the team grows, ensuring high quality code reviews, testing, and AI usage.

Skills

Python
Machine learning
A/B testing

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch
Spark
Flink
SFT techniques

Job description

rednote is seeking an innovative Machine Learning Engineer to join the Algorithm team in NY. This role focuses on 0→1 development for feed ranking and personalization systems, owning architecture and features from design to production.

You will collaborate with cross-functional teams to deliver scalable models and measurable impact, including A/B testing and low-latency serving in a fast-paced environment.

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