22 hours ago
Base Salary
$209k - $217k/yr
Responsibilities
- Define standard architectures, client libraries, API contracts, latency budgets, and fallbacks for Java services calling ML models.
- Set standards for load testing, performance benchmarking, capacity planning, release processes, ML reliability, monitoring, scalability, and lifecycle management.
- Optimize high-traffic model integrations through profiling, JVM tuning, caching, request batching, concurrency, and model architecture and tuning.
- Lead complex ML solutions and architecture decisions spanning multiple teams and systems.
- Build reusable ML architectures, pipelines, and deployment patterns to productionize Applied Science work.
- Own model scorecards, reproducible training, safe rollouts, SLOs, versioning, rollback, and production serving patterns.
- Conduct design and code reviews, own the technical roadmap, sequence cross-team work, and raise risks.
- Mentor engineers, participate in hiring, and communicate technical trade-offs to technical, product, business, and executive audiences.
Requirements
- BS, MS, or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent experience.
- 8+ years of professional software engineering experience with deep expertise in high-traffic Java backend services.
- 5+ years building and running production ML systems, including 3+ years setting technical direction across teams or systems at senior scope.
- Expert Java and object-oriented design skills, including Spring Boot or similar service frameworks, APIs, and JVM performance tuning.
- Experience establishing load-testing and performance standards with Gatling, JMeter, or similar tools and planning service capacity.
- Experience designing highly available distributed systems with automated testing and monitoring.
- Deep production ML architecture experience across training pipelines, batch and real-time serving, feature pipelines, model versioning, and rollback.
- Strong Python and hands-on model development experience with XGBoost, LightGBM, PyTorch, or TensorFlow.
- Strong data engineering skills in Spark and SQL, including streaming or batch pipelines.
- Experience with AWS or GCP cloud infrastructure, SageMaker, Vertex AI or equivalent, Docker, and Kubernetes.
- Experience with experimentation, A/B test design, guardrail metrics, and evaluating offline metrics.
- Proven technical leadership across ML and software engineering teams, including architecture reviews, influence without direct authority, and mentoring senior engineers.
- Clear communication of model behavior and technical trade-offs to technical and non-technical audiences.
- Preferred experience includes marketplace, e-commerce, or logistics use cases; JVM model serving; internal ML platforms; Cassandra or other distributed NoSQL databases; Kafka or Flink; and cloud ML platform migrations.
Benefits
- Competitive compensation package with equity and a 401(k).
- Medical, dental, and vision plan options, plus company-paid short- and long-term disability coverage.
- Paid time off, flexible time off for exempt employees, paid vacation for non-exempt employees, paid sick leave, and paid parental leave.
- Discounted meals and exclusive perks across the Wonder family of brands.
- Hybrid work model requiring 3 days per week in the office, with the option to work in the office up to 5 days per week.
- The role is based in New York, with geographic-specific compensation structures.
Tech Stack
Apache CassandraApache FlinkApache JMeterApache KafkaApache SparkAWSDockerGoogle Cloud PlatformgRPCJavaKubernetesLightGBMPythonPyTorchSpring BootSQLTensorFlowXGBoost
Categories
About Wonder
Wonder builds a mealtime platform that lets customers mix dishes from multiple restaurant brands in a single order, with options for dine-in, delivery, pickup, and meal kits. The New York-based, privately held company owns and operates its kitchens and technology and also develops robotic cooking systems used with enterprise B2B clients. Wonder expanded its portfolio by acquiring meal-kit pioneer Blue Apron in 2023.