Staff ML Engineer: Java Backend & Production ML

Wonder; New York (NY); Híbrido; USD 209 000 - 217 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

401(k)

Medical, Dental, Vision

Disability coverage

Paid time off

Parental leave

Discounted meals

Resumo da oferta

Wonder’s Model Platform team builds the systems to take ML models from prototype to production, ranking restaurants, predicting delivery times, and dispatching couriers for millions of diners. A Staff ML Engineer with deep Java backend experience will shape how models and services interact and set standards for load testing and performance across services.

You will write code, design models, and tackle the hardest production problems, serving as the main technical link between Model Platform and

Qualificações

• 8+ years of professional software engineering experience with high-traffic backend services in Java.
• 5+ years building and running ML systems in production, with leadership experience across teams.
• Strong Java, OO design, Spring Boot, REST or gRPC, JVM performance tuning.

Responsabilidades

• Define standard architecture for how Java services call ML models (client libraries, API contracts, latency budgets).
• Set load testing and performance standards and integrate into release processes.
• Drive profiling, JVM tuning, caching, batching, and concurrency for high-traffic model integrations.
• Lead design and delivery of complex ML solutions spanning multiple teams or systems.

Conhecimentos

Java backend

ML systems

Python

Spark/SQL

Cloud (AWS/GCP)

Docker

Kubernetes

Load testing

Architecture

Leadership

Communication

Formação académica

BS/MS/PhD in CS/Engineering/Math

Ferramentas

Spring Boot

REST/gRPC

JVM tuning

SageMaker/Vertex AI

Descrição da oferta de emprego

Wonder’s Model Platform team builds the systems to take ML models from prototype to production, ranking restaurants, predicting delivery times, and dispatching couriers for millions of diners. A Staff ML Engineer with deep Java backend experience will shape how models and services interact and set standards for load testing and performance across services.

You will write code, design models, and tackle the hardest production problems, serving as the main technical link between Model Platform and