Senior Staff ML Product Engineer — End-to-End ML Systems

Radar Labs, Inc.

New York (NY)

On-site

USD 200,000 - 300,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Stock options
401(k) with 4% match
Catered lunches
Unlimited PTO
Health, dental, and vision insurance
12 weeks of paid parental leave
Commuter and fitness benefits

Job summary

A leading geolocation company is seeking Product Engineers to build machine learning systems for core products. This full-time role involves developing features for fraud detection, mapping, and geofencing. Ideal candidates should have experience in machine learning implementation, be keen to interact with customers, and have a genuine curiosity to solve engineering challenges. Competitive salary of $200k-$300k/year, along with stock options and comprehensive benefits, is offered. Join at our New York HQ and shape innovative solutions!

Qualifications

  • Experience in building machine learning-based products at scale.
  • Desire to engage with customers and incorporate feedback into work.
  • Deep curiosity about technology and persistence in solving complex problems.

Responsibilities

  • Work on core Radar ML infrastructure with a focus on relevance and efficiency.
  • Build and optimize systems for Fraud products like anomaly detection.
  • Develop features for Maps products, enhancing query classification and traffic modeling.
  • Implement new services aiding Geofencing applications with advanced sensors.
  • Collaborate across multiple technology stacks to deliver integrated solutions.
  • Interact with customers to gather feedback and improve product offerings.

Skills

Machine learning
Python
Rust
Airflow
Spark
Anomaly detection
Indoor positioning

Tools

MongoDB
LightGBM
Node.js
AWS

Job description

A leading geolocation company is seeking Product Engineers to build machine learning systems for core products. This full-time role involves developing features for fraud detection, mapping, and geofencing. Ideal candidates should have experience in machine learning implementation, be keen to interact with customers, and have a genuine curiosity to solve engineering challenges. Competitive salary of $200k-$300k/year, along with stock options and comprehensive benefits, is offered. Join at our New York HQ and shape innovative solutions!
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