AI ML Engineer at global networking leader, shaping ML strategy and building high - performance systems. Innovating with AI technology to enhance network management and develop flagship products.
About the role
- 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
Benefits
- Commitment to Inclusion
- Health Insurance
- Flexible work arrangements
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