Build and evolve robust, scalable ML infrastructure that supports ML engineers across all Tinder business domains
Set and drive the long-term technical direction for Tinder’s ML infrastructure
Design, build, and operate production-grade ML serving infrastructure for ML models using Ray Serve and Triton
Develop and maintain robust serving infrastructure specialized for serving large language models (LLMs) in-house
Develop efficient ML serving platform using Ray Serve and Triton
Build the foundation of Tinder’s feature store using Databricks and internal tooling
Own infrastructure projects end to end—from design and implementation to adoption and measurable impact.
Partner closely with ML Engineers, ML Software Engineers, and CloudOps to ensure infrastructure directly enables better models and faster iteration
Establish and propagate best practices in ML infrastructure, data engineering, and model serving
Mentor and support junior engineers, raising the technical bar across the team

Requirements

Bachelor’s degree in Computer Science, Engineering, Technology, or a related field.
5+ years of experience building or operating ML platforms, including training, serving, feature management, or experimentation systems.
Hands-on experience designing, building, or running feature stores at scale.
Strong software engineering fundamentals, with proficiency in Python and at least one of Java, Scala, Go, or a similar language.
Practical experience with ML serving platforms such as Triton, Ray Serve, or Seldon.
Solid grasp of core machine learning concepts, including model training, evaluation, validation, and performance measurement.
Proven ability to lead cross-functional initiatives and work effectively across ML, infrastructure, and product teams
Deep experience in distributed systems, cloud infrastructure, and MLOps, with hands-on exposure to transformers and modern deep learning architectures
Ability to bridge the gap between cutting-edge ML research and reliable, production-grade systems

Applicant Tracking System Keywords

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

Hard Skills & Tools

machine learning infrastructureML serving infrastructureRay ServeTritonfeature storeDatabricksPythonJavaScalaGo

Soft Skills

leadershipmentoringcross-functional collaborationcommunicationproblem-solvingtechnical directionbest practices establishmentsupporting junior engineersorganizational skillsimpact measurement

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in TechnologyBachelor’s degree in a related field