Senior ML Engineer - Personalization & Loyalty Platform

Hang

Los Angeles (CA)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Top-tier health, vision, and dental insurance
Unlimited PTO / sick leave
Competitive salary & equity compensation
Quarterly company offsites

Job summary

A next-generation loyalty platform is seeking a skilled Machine Learning Engineer in Los Angeles, CA. You'll design and implement machine learning models to enhance our platform and drive data-driven decisions. The role requires 5+ years of relevant experience, strong programming skills, and familiarity with machine learning frameworks. This position offers competitive salary, equity compensation, and unlimited PTO.

Qualifications

  • 5+ years of experience in machine learning and data related roles.
  • Proven experience as a Machine Learning Engineer or in a similar role.
  • Experience with data processing and analytics.
  • Experience with vector databases like Redis or Milvus.

Responsibilities

  • Design, build, and deploy machine learning models.
  • Analyze large datasets to identify trends and patterns.
  • Continuously test and refine algorithms.
  • Collaborate with engineers and product managers for seamless integration.
  • Stay updated with machine learning developments.

Skills

Machine Learning
Python programming
Data analysis
Algorithm optimization
Collaboration
Problem-solving
Communication
Ruby

Education

Bachelor's or Master’s in Computer Science, Engineering, Mathematics
Ph.D. in a related field

Tools

TensorFlow
PyTorch
Snowflake
Postgres
RDS
Redis
AWS

Job description

A next-generation loyalty platform is seeking a skilled Machine Learning Engineer in Los Angeles, CA. You'll design and implement machine learning models to enhance our platform and drive data-driven decisions. The role requires 5+ years of relevant experience, strong programming skills, and familiarity with machine learning frameworks. This position offers competitive salary, equity compensation, and unlimited PTO.
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