Jobs in the United States

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Added 1 min ago
Software Development Engineer, Amazon Customer Service
Amazon.com Services LLC
Seattle, WA
…(CS), relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. CXI engineers solve complex…
Added 1 min ago
Software Development Engineer, ML Symphony, ML-Symphony
Amazon Data Services, Inc.
Santa Clara, CA
We are intensively focused in building mechanisms and automation to enable our operations to Zero Touch (ZT) scale/plan/operate our network across all the core networking space.
Added 4 mins ago
Engineer III, Cloud SDET - Endpoint (Hybrid, Sunnyvale)
CrowdStrike, Inc.
Sunnyvale, CA
CrowdStrike is looking for a Senior Software Development Engineer in Test (SDET) to join our growing Endpoint Protection Product (EPP) Cloud team, supporting our Falcon Prevent solution.…
Added 14 mins ago
I
Software Solution Engineer
InterImage
Remote, United States
- $105,000 to $162,000 USD / year
…applications that solve real-world operational problems. If you enjoy building with the latest LLMs, experimenting with emerging AI technologies, and deploying secure cloud-native solutions…
Added 14 mins ago
I
Senior Ontology Engineer
InterImage
Remote, United States
- $175,000 to $228,000 USD / year
As an Ontological Engineer, you will help shape the knowledge foundations behind enterprise AI systems. This role is well suited to someone who enjoys bringing clarity to complex domains…
Added 14 mins ago
Ontological Engineer
InterImage
Remote, United States
As an Ontological Engineer, you will help shape the knowledge foundations behind enterprise AI systems. This role is well suited to someone who enjoys bringing clarity to complex domains…
Added 15 mins ago
Product Deployment Engineer, gTech Ads
Google
Chicago, IL · Seattle, WA
…customer strategy, while delegating base code-level and system-building decisions to the Engineering…
Added 18 mins ago
Data Engineer I
First Citizens Bank
Raleigh, NC · UNAVAILABLE, NC
We are seeking a motivated Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven…
Added 20 mins ago
Senior Staff Software Engineer, Technical Lead Manager, Vertical Ads on Maps
Google
Mountain View, CA
Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
Added 31 mins ago
Sr Mgr, Manufacturing
Default Brand
Phoenix, AZ
Proven strong team building and personnel development experience.
Added 39 mins ago
Engineering Tech
Wolf Creek Nuclear Operating Corporation
Burlington, KS
Under the direction of the Transmission Line Engineering department leadership and Transmission Engineer staff, this position will:
Added 39 mins ago
Sr Data Engineer
Insight Global
Kansas City, KS
A major focus of this position will be evaluating existing data, determining how it should be modeled, and building the pipelines necessary to get that data into the right systems and…
Added 39 mins ago
Process Engineer - Cold End
Saint-Gobain
KANSAS CITY, KS
Reporting directly to the Technical Manager, this Process Engineer is responsible for managing various technical and production processes within the Cold Process Operations group and will…
Added 39 mins ago
Process Engineer - Hot End
Saint-Gobain
KANSAS CITY, KS
Reporting directly to the Technical Manager, this Process Engineer is responsible for managing various technical and production processes within the Hot Process Operations group and will…
Added 39 mins ago
Engineering Tech
Evergy, Inc.
Topeka, KS
Under the direction of the Transmission Line Engineering department leadership and Transmission Engineer staff, this position will:
Added 39 mins ago
EG
Front End React Engineer
Eliassen Group
Topeka, KS
- $80 to $90 USD / hour
Our client seeks an experienced Front End React Engineer to join a small, focused team building features across three SaaS products in consumer goods retail. Global brands and retailers…
Added 48 mins ago
O
Lead Principal Core Infrastructure Engineer
Oracle
Nashville, TN
- $146,300 to $306,400 USD / year
Here at OCI we’re building the world’s largest AI clusters and we’re the fastest at bringing them to the market. The AI Infrastructure organization at OCI is leading this effort by creating…
Added 48 mins ago
Senior Data Engineer
Keebo
Remote, United States
As a Senior Data Engineer, you'll design and scale the data pipelines and machine learning infrastructure behind our platform. You'll use AI to multiply your own output and the team's, and…
Added 54 mins ago
Project Manager
InSite Engineering
Wall Township, NJ
· Professional Engineer (PE), Professional Land Surveyor (PLS), Professional Planner, or other applicable professional license is preferred.
Added 54 mins ago
Project Manager
InSite Engineering
Allendale, NJ
· Professional Engineer (PE), Professional Land Surveyor (PLS), Professional Planner, or other applicable professional license is preferred.
Added 54 mins ago
Project Manager
InSite Engineering
Stafford Township, NJ
· Professional Engineer (PE), Professional Land Surveyor (PLS), Professional Planner, or other applicable professional license is preferred.
Added 1 hour ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
San Francisco Bay Area, CA
- $187,000 to $225,000 USD / year
Join an early-stage cybersecurity team building tools to secure and manage enterprise AI. As a founding forward deployed engineer, you will work directly with enterprise security and IT…
Added 1 hour ago
TT
Mid/Senior Full Stack AI Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $250,000 USD / year
Join a small, high-impact team building AI-powered quoting and production scheduling tools for chemical and industrial manufacturers. You will help deliver product features that automate…
Added 1 hour ago
Transportation Engineer
Arizona Department of Administration
AZ
Professional Engineer (P.E.) License for the state of Arizona or proof of eligibility for reciprocity at time of appointment.
Added 1 hour ago
J
Agentic-First Software Engineer (Miami)
Jiffy
Miami, FL
- $150,000 to $265,000 USD / year
Experience with relational databases (Postgres / MySQL), SQL, and building or consuming REST or GraphQL APIs.

Wonder Group, INC

Staff Machine Learning Engineer, Model Platform

NY, United States

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Job details

Experience: 8+ years of professional software engineering experience, with deep expertise building and running high-traffic backend services in Java
Posting language: English
Posted: Nov 6, 2026

Original job description

About Wonder

Everything’s on the menu at Wonder. Except compromise.

Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot.

Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale.

Join us as we work to make great food more accessible.

About The Opportunity Wonder's Model Platform team builds the systems that take machine learning models from prototype to production and keeps them running well once they're there. Our models rank restaurants and dishes, predict delivery times, price orders, and dispatch couriers for millions of diners across Grubhub and Wonder. Most of those predictions are served to high-traffic Java services. How well a model works with those services matters as much as how good the model is.

We're hiring a Staff Machine Learning Engineer with deep Java backend experience to set the technical direction for how our models and services work together. You'll define how every team calls our models. You'll set the standards for load testing and performance across the services that use them. You'll also lead complex ML work that spans multiple teams and systems.

This is a hands-on technical leadership role. You'll write code, design models, and take on the hardest production problems yourself. You'll be the main technical link between Model Platform and our software engineering teams, and you'll partner with Applied Scientists, our data and infrastructure platform teams, and senior engineering leadership. Our interview process includes the same Java coding interview our software engineers take.

The Impact You Will Make

Define the standard architecture for how Java services call ML models, including client libraries, API contracts, latency budgets, and fallbacks.
Set the standards for load testing, performance benchmarking, and capacity planning for every service that calls our models, and build them into the release process.
Drive performance work such as profiling, JVM tuning, caching, request batching, and concurrency for our highest-traffic model integrations.
Lead the design and delivery of complex ML solutions that span multiple teams or systems, and make the architecture decisions that cross team boundaries.
Build reusable ML architectures, pipelines, and deployment patterns that get Applied Science work into production faster.
Set the standards for ML reliability, scalability, monitoring, and lifecycle management, including model scorecards, reproducible training, safe rollout, and SLOs for tier-1 models.
Own model architecture and tuning for our most demanding deployments, balancing accuracy against latency, scalability, and cost.
Run design and code reviews across ML and software engineering teams, and push back on technical decisions when the evidence supports it.
Own the platform's technical roadmap with engineering leadership, sequence work across teams, and raise risks early.
Mentor senior and mid-level engineers, take part in hiring, and build depth on the team so no critical system depends on one person.
Explain technical trade-offs in business terms to product and executive stakeholders, and write down key decisions and the reasons behind them.

What You Bring to the Table

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 building and running high-traffic backend services in Java
5+ years building and running ML systems in production, including 3+ years at senior scope setting technical direction across teams or systems
Expert Java and object-oriented design skills, including service frameworks (Spring Boot or similar), REST or gRPC APIs, and JVM performance tuning
A track record of setting load testing and performance standards (Gatling, JMeter, or similar) and planning capacity for services as load changes
Experience designing highly available distributed systems (99.99% uptime) with automated testing and monitoring built in from the start
Deep expertise in production ML architecture, including training pipelines, batch and real-time serving, feature pipelines, model versioning, and rollback at scale
Strong Python and hands-on model development experience with common frameworks (XGBoost/LightGBM, PyTorch, or TensorFlow), including choosing and tuning models under real latency and cost limits
Strong data engineering skills in Spark and SQL, including building and debugging streaming or batch pipelines
Deep experience with cloud infrastructure on AWS or GCP (SageMaker, Vertex AI, or equivalent), Docker, and Kubernetes
Experience with experimentation, including A/B test design, guardrail metrics, and knowing when an offline metric is misleading
Proven technical leadership across ML and software engineering teams, including leading architecture reviews beyond your own team, influencing decisions without direct authority, and mentoring senior engineers
Clear communication of model behavior and technical trade-offs to technical and non-technical audiences, including executives

Got These? Even Better

Experience in marketplace, e-commerce, or logistics, such as ranking, recommendations, ETA prediction, pricing, or dispatch
Serving models inside or alongside JVM services (ONNX Runtime, TensorFlow Java, XGBoost4J, or similar)
Building an internal ML platform used by multiple science teams
Cassandra or other distributed NoSQL databases
Streaming data systems (Kafka, Flink)
Leading an ML platform migration between cloud

As a matter of company policy, Wonder does not sponsor applicants for employment visa status for this role.

Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome - and encouraged - to be in the office up to 5 days a week if it works for you.

New York: $208,500 - $216,500 per year

Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.

Benefits

The benefits applicable to this role include a competitive compensation package with equity and a 401(k). We also offer a choice of medical, dental, and vision plans, company paid short and long term disability coverage, paid time off including flexible time off for exempt employees, paid vacation for non-exempt employees, and paid sick leave in compliance with applicable law in addition to paid parental leave, discounted meals and exclusive perks across the Wonder family of brands.

Eligibility, effective dates, and available plan options vary by employment classification and location. To learn more about benefits for this role, visit our Careers page here.

A Final Note

At Wonder, we build the best teams by hiring with an objective lens - evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.

We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.

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More about this job

Skills

Machine learning
Oracle Java
ML
Leadership
Computer science
Statistics
Spring Boot
Apache JMeter
Test automation
Python
XGBoost
PyTorch
TensorFlow
Data engineering
Apache Spark
SQL
Debugging
AWS
Google Cloud
Docker
Kubernetes
Coaching
Communication skills
Logistics
Apache Cassandra
NoSQL
Apache Kafka
Hybrid model
Collaboration

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