build and deploy machine learning pipelines that generate taxonomies of creators, content, and risk profiles across the platform
conduct exploratory data analyses and proof-of-concept machine learning models
collaborate with cross-functional partners, such as product, engineering, and design
analyze and prepare training data
train and iterate on machine learning models
deploy machine learning models to production
debug models when performance gaps are observed
translate data into actionable insights

Requirements

8+ years of experience in ML engineering or applied ML roles
expertise in natural language processing, topic modeling, and clustering techniques
experience working in an end-to-end machine learning team environment
experience working with unstructured content
write clean and robust code in Python
experience with distributed systems, production pipelines, and model deployment frameworks
solid communication skills and write clear documentation
Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or related field

Benefits

healthcare
flexible time off
company holidays and recharge days
commuter benefits
lifestyle stipends
learning and development stipends
parental leave
401k plan with matching

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningnatural language processingtopic modelingclustering techniquesPythondistributed systemsproduction pipelinesmodel deployment frameworksdata analysisdebugging

Soft Skills

collaborationcommunicationdocumentationproblem-solvinganalytical thinking

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Machine LearningMaster's degree in Statistics