Senior Software Engineer, Machine Learning Infrastructure (Tinder LLC, West Hollywood, California) at Match Group
West Hollywood, CA
$190,000–$246,000from the description
Aug 6, 2026
West Hollywood, CA
Sep 24, 2026
What this job asks for AI summary
This role is responsible for designing, building, and operating large-scale ML infrastructure at a consumer technology company, covering the full ML lifecycle — training, serving, monitoring, and feature management — as well as data processing pipelines for trust and safety and recommendation systems. The position requires hands-on platform engineering across distributed data systems, cloud infrastructure, and LLM serving, with some mentorship of junior engineers. It suits an experienced ML infrastructure or platform engineer comfortable owning production systems at scale.
Senior level · 5+ years · Los Angeles-Long Beach-Anaheim, CA · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 100 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (software developers). range 45–220
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $164,459 (middle half $130,334–$195,752). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 7, 2026. It is a model, not a headcount.
Why we read it this way (8)
The minimum experience requirement is 5 years with a Bachelor's degree OR 3 years with a Master's degree; 5 years is used as the overall years minimum per the lower-degree path.
The big-data technologies (Spark, Kafka, Flink, Databricks) are listed as interchangeable alternatives within a single 3-year requirement — each is emitted separately with the others as alternatives to reflect that the JD requires proficiency in 'multiple' of them.
Similarly, the programming languages (Python, Scala, Java, Go) are listed as interchangeable within a single requirement for 'multiple modern programming languages'; each is emitted with the others as alternatives.
Cloud platforms (AWS, Azure, GCP) are listed as interchangeable; AWS is used as the primary name since EKS and ECS are also named as AWS-specific services.
REST, gRPC, and GraphQL appear in the narrative responsibilities section rather than the formal minimum requirements block, so they are marked as preferred.
The role title is not stated in the posting; the work described is ML platform/infrastructure engineering, which maps most closely to Software Developers (15-1252). Database Architects (15-1243) is a plausible runner-up given the significant data pipeline and warehouse design scope.
Telecommuting is permitted but not guaranteed as fully remote; the posting states the employee must report to the West Hollywood office when not telecommuting, so remote is set to false.
The posting includes an application instruction to email a resume with a specific ad code — this is informational and has no bearing on the extracted requirements.
Read the full posting
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