Staff-level Machine Learning Engineer focused on enhancing user experiences and driving ML initiatives at Tinder. Collaborating across multiple domains and providing technical leadership in projects.
Responsibilities
Lead and execute cross-cutting machine learning initiatives that span multiple ML domains
Partner closely with the Director of Engineering to identify the opportunities
Step into complex or struggling projects and help bring them back on track
Embed with individual pods as needed to provide deep technical support
Act as a strategic thought partner to engineering managers
Collaborate with domain tech leads as a cross-domain advisor
Influence technical direction and best practices across the ML organization
Mentor senior engineers and help develop technical leadership
Requirements
BS/MS in Computer Science or an equivalent field with 8+ years of experience designing, building, and shipping production machine learning systems at scale
At least two peer-reviewed publications in top-tier conferences or journals (e.g., NeurIPS, ICML)
Strong communication skills
Professional work experience in Recommendation Systems or Causal Inference
Strong hands-on engineering skills
Proven track record as a senior individual contributor (Staff or Principal level)
Deep understanding of end-to-end ML systems
Experience of partnering closely with engineering managers and senior stakeholders
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