Jobs in the United States

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Added 9 mins ago
Technical Business Analyst
Palo Alto Networks, Inc.
Remote, United States
Immerse yourself in the Technical Solutions organization to understand business priorities, challenges and go-to-market motions
Added 12 mins ago
A
Machine Operator
Aerotek
San Diego, CA
- $21.75 USD / hour
Added 21 mins ago
Founding Product Engineer
Raydar
San Francisco, CA
- Create developer documentation, quickstarts and sample integrations so customers can adopt the platform's APIs and SDKs quickly.
Added 22 mins ago
CL
Research Intern, Summer 2027
Category Labs
New York, NY
- $4,500 USD / week
…to deliver significant improvements over existing blockchain solutions. After raising $225M in Series A funding, led by Paradigm, we are growing our…
Added 26 mins ago
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Senior Associate, Global Commercial Enablement, AI Innovation
Uber
New York City, NY · San Francisco, CA · Chicago, IL
- $113,000 to $140,000 USD / year
…turn prioritized opportunities into working prototypes, test solutions with users, and support their rollout and ongoing…
Added 26 mins ago
U
Manager, Global Delivery Partner Enablement
Uber
Chicago, IL · New York City, NY · San Francisco, CA
- $131,000 to $175,000 USD / year
…commercial leaders, and turns ambiguous challenges into scalable solutions. The emphasis is on embedding enablement into daily work through better processes, tools, and targeted capability…
Added 30 mins ago
TT
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $230,000 to $300,000 USD / year
- Work with customers to understand where their agents fail, define solutions, and iterate on shipped product.
Added 35 mins ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
…architect, with a track record of building and deploying ML or AI solutions that deliver business…
Added 37 mins ago
SI
Training and Communications Manager, Global Ethics & Integrity
Salesforce, Inc.
WA · IL · IN · TX
- $117,400 to $177,600 USD / year
…for ways to improve our program, especially through AI-driven…
Added 38 mins ago
SH
Business Intelligence Engineer III, Workday and AI Copilot
Sutter Health
Remote, United States
- $93,953.6 to $176,155.2 USD / year
Consulting: Excellent technical communication skills; ability to translate complex business problems into engineered solutions.
Added 40 mins ago
Denver - Tax - Associate - Summer/Fall 2027
PWC US
CO-Denver, CO
- Navigating complex tax regulations with innovative solutions
Added 40 mins ago
Lead Technical Business Analyst (Atlanta, GA, or other unanticipated locations throughout U.S.).
Insight Global
Atlanta, GA
…implementing and supporting automated, reliable, and available IT solutions. Leading testing efforts including documenting test scenarios and test cases. Working with Developers to ensure…
Added 40 mins ago
Senior AI Engineer, AI Safety
NVIDIA USA
Remote, United States
…research ideas and engineer them into robust, highly scalable solutions that integrate seamlessly into our production…
Added 40 mins ago
Senior Account Manager – Digital Health Accounts
NVIDIA USA
Remote, United States
…NVIDIA solution architects, business development leaders, and developer relations to support the company's growth…
Added 40 mins ago
Senior Machine Learning Data Pipeline Engineer
NVIDIA USA
CA
You will convert model limitations and data needs into reusable engineering solutions, integrating data infrastructure with LLMs, vision-language models, and retrieval techniques to…
Added 41 mins ago
Media Coordinator
Infinity Marketing
Greenville, SC
…exploring new ideas, and challenging assumptions, we uncover bold solutions to stay ahead of the curve - so you can,…
Added 47 mins ago
Government Sector Sr. In-House CRA
Emmes Group
Rockville
Through our two business units - Emmes, a full-service CRO, and Veridix AI, our technology, data, and analytical solutions - we are modernizing clinical trials and accelerating the…
Added 51 mins ago
Principal AI Solutions Architect, Customer Success
United States - Genesys Cloud Services, Inc.
Virtual Office, TX · IN · SC · TN · FL · MA · NC · KY · GA
Genesys is seeking a Principal AI Solutions Architect, Customer Success to lead the next generation of AI-powered customer experience transformation.
Added 51 mins ago
PN
Senior Data Scientist III - Machine Learning for GEOINT and Remote Sensing
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $140,200 USD / year
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
Added 51 mins ago
PN
Lead Data Scientist IV - Machine Learning for GEOINT and Remote Sensing
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $166,800 USD / year
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
Added 51 mins ago
PN
Data Scientist II - Machine Learning for GEOINT and Remote Sensing
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $114,000 USD / year
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
Added 51 mins ago
PN
Data Scientist II - Machine Learning for Undersea Acoustics
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $114,000 USD / year
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
Added 51 mins ago
PN
Senior Data Scientist III - Machine Learning for Undersea Acoustics
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $140,200 USD / year
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
Added 58 mins ago
TT
Staff Product Manager
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
- Hands-on experience prototyping with AI developer tools such as Claude Code or Cursor; SQL or coding-agent experience for product analysis is useful.
Added 58 mins ago
TT
Founding Senior Engineer
True Talent Solutions Partners
New York, NY
- $175,000 to $225,000 USD / year

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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