Find work in the United States.

6,407,318 jobs across our US network. How we count

Jobs in the United States

25+ jobs

Save this search

Added 8 mins ago
Sr. Software Development Engineer, AWS Transform
Amazon Development Center U.S., Inc.
Boston, MA
…complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create new…
Added 12 mins ago
Site Civil Engineering Design Lead
HDR
Greenville, SC · Columbia, SC · Charleston, SC
…environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of…
Added 16 mins ago
Staff Data Scientist
John Deere
IL
Use PAAW datasets to engineer features that capture machine, operational, and environmental context, and associate that context with technology usage to explain how and where each…
Added 30 mins ago
EB
Associate Civil/Electrical/Mechanical Engineer (Engineering Services Division)
East Bay Municipal Utility District
Oakland, CA
- $13,124 to $15,952 USD / month
…currently seeking an Associate Civil/Electrical/Mechanical Engineer who is highly detailed-oriented, self-motivated, and an energetic team player with experience in specification…
Added 33 mins ago
Senior Software Development Engineer, Motion Planning - Autonomous Vehicles
NVIDIA USA
CA
We are seeking an experienced Motion planning senior software development engineer to develop key features for our autonomous driving platform. In this role, you will work on a mix of…
Added 34 mins ago
Semantic Data and AI Engineer
Enterprise Knowledge
Remote, United States
Enterprise Knowledge (EK) is hiring a full-time Semantic Data and AI Engineer to join our growing Semantic Engineering and AI Practice. In this role, you will be responsible for designing…
Added 48 mins ago
UG
Advisory Services Analyst, Consultant Development Program - AI/ML Engineering Track - Multiple Locations
UnitedHealth Group
Eden Prairie, MN
- $60,200 to $107,400 USD / year
Added 1 hour ago
J
Senior Security Engineer, Infrastructure Security
Jobgether
Remote, United States
- $160,000 to $210,000 USD / year
…and next steps. Our partner is looking for a Senior Security Engineer, Infrastructure Security based in the United…
Added 1 hour ago
Applied AI Engineer, Applied AI
Snowplow
Remote, United States
Snowplow is rebuilding how the company runs its own work, and the Applied AI team owns Firn, the data and AI platform that work runs on, and the engineering standards that go with it. This…
Added 1 hour ago
Forward Deployed Engineer, Applied AI
Snowplow
Remote, United States
You are the first Forward Deployed Engineer on the team, reporting to the Senior Director of Applied AI. The team is also hiring a principal engineer to own the platform and an Applied AI…
Added 2 hours ago
J
Senior ML Engineer
Jobgether
Remote, United States
- $159,000 to $195,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior ML Engineer based in the United States.
Added 2 hours ago
XT
🌎 ML Engineer (MSc. or PhD), Remote- Contract
Xperteez Technology
Remote, United States
- $60 to $120 USD / hour
A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
Added 2 hours ago
Sr Lead Software Engineer
JPMC page
Plano, TX
As a Sr. Lead Software Engineer at JPMorganChase within the Consumer & Community Banking – Consumer & Community Banking Administration, you are an integral part of an agile team that works…
Added 2 hours ago
Lead Software Engineer
JPMC page
Plano, TX
As a Lead Software Engineer at JPMorganChase within the Corporate Sector – Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted…
Added 4 hours ago
Sr. Software Development Engineer, GenAI, Kumo
Amazon Web Services, Inc.
Bellevue, WA
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and…
Added 11 hours ago
Systems Engineer B-2 (WBZ) 01.6.07
Credence
Tinker Air Force Base, OK
Credence has an immediate opening for a B-2 Systems Engineer (WBZ)at the principal level to support the B-2 Division who is responsible for the modernization, test, production, fielding and…
Added 11 hours ago
Professional Continuing Education Instructor (BUILDER) AFIT/CE - 1.3.16
Credence
WPAFB, OH
…who will be primarily responsible for supporting the Civil Engineer School (AFIT/CE) at Wright Patterson AFB, OH. AFIT/CE is the Air Force's sole provider of professional continuing…
Added 12 hours ago
C
Sales Solutions Engineer - Ed Tech
Coursedog
Remote, United States
- $120,000 to $140,000 USD / year
As a Solutions Engineer at Coursedog, you’ll lead the demos, scoping, and CX calls that align customers, Sales, and Customer Success before a deal is booked. You’ll work closely with…
Added 13 hours ago
Software Engineer II - Building Applications
Pacific Northwest National Laboratory
Jefferson City, MO
…efficient, resilient, and secure energy system through basic and applied research. We leverage a strong technical foundation in power and energy systems and advanced data analytics to drive…
Added 14 hours ago
Software Engineer, Runtime Infrastructure
Nominal
NY
…Force and Navy. Our team draws from SpaceX, Palantir, Anduril, Applied Intuition, Tesla, and other leading companies, united by a common mission: giving hardware engineers the tools to…
Added 14 hours ago
TT
Founding AI Agent Engineer
True Talent Solutions Partners
San Francisco Bay Area, CA
- $150,000 to $220,000 USD / year
- Zero to four years of experience as a software engineer, agent engineer, or applied AI engineer.
Added 14 hours ago
Lead Software Engineer, Frontend - Growth & Monetization
Nominal
NY
…Force and Navy. Our team draws from SpaceX, Palantir, Anduril, Applied Intuition, Tesla, and other leading companies, united by a common mission: giving hardware engineers the tools to…
Added 14 hours ago
Full Stack Software Engineer, Compute
Nominal
NY
…Force and Navy. Our team draws from SpaceX, Palantir, Anduril, Applied Intuition, Tesla, and other leading companies, united by a common mission: giving hardware engineers the tools to…
Added 14 hours ago
Lead Software Engineer, Backend - Growth & Monetization
Nominal
NY
…Force and Navy. Our team draws from SpaceX, Palantir, Anduril, Applied Intuition, Tesla, and other leading companies, united by a common mission: giving hardware engineers the tools to…
Added 14 hours ago
Product Security Engineer
Nominal
NY · WA
…Force and Navy. Our team draws from SpaceX, Palantir, Anduril, Applied Intuition, Tesla, and other leading companies, united by a common mission: giving hardware engineers the tools to…

Wonder Group, INC

Staff Machine Learning Engineer, Model Platform

NY, United States

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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

Report this job