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Added 42 mins ago
Senior Applied AI Engineer (Enterprise AI / Python)
Brightplan
Remote, United States
We are looking for a Senior Applied AI Engineer to help design, build, and scale the systems that power AI across the BrightPlan platform. This role will play an important part in shaping…
Added 1 hour ago
BN
Senior Infrastructure Engineer - GPU Compute
Boundless Networks, Inc.
Remote, United States
- $175,000 to $250,000 USD / year
Boundless is coordinating GPU compute at scale as it becomes a leader in AI. As a Senior Infrastructure Engineer (GPU Compute), you'll build and operate the compute fabric that powers our…
Added 1 hour ago
Senior Software Engineer, AI/ML Network Engineering
Cisco Systems, Inc.
Milpitas, CA
Join the Infrastructure Engineering team as a Software Engineer and help redefine how networking problems are solved. You will develop innovative software for next-generation networking…
Added 2 hours ago
UO
Senior/Principal Electrical Engineer - Spacecraft and Instruments
University of Colorado Denver
Boulder, CO
- $34,986 USD / year
…the Moon, planets, and the wider universe. We are seeking a senior electrical hardware engineer who enjoys hands-on circuit design and can carry high-reliability electronics from…
Added 2 hours ago
W
Senior Manager, Electrical Engineering
Walmart
BENTONVILLE, AR
- $90,000 to $180,000 USD / year
The Senior Manager, Electrical Engineering is responsible for leading enterprise electrical safety and reliability programs across Walmart, Sam’s Club, and Supply Chain facilities. This…
Added 2 hours ago
UO
Senior Systems Engineering / Deputy Project Systems Engineer
University of Colorado Denver
Boulder, CO
- $120,416 to $189,585 USD / year
Serve as a Deputy Project Systems Engineer on a fast-paced delivery of Mars science payloads.
Added 2 hours ago
UO
Senior FPGA Development Engineer
University of Colorado Denver
Boulder, CO
- $34,986 USD / year
The Laboratory for Atmospheric and Space Physics (LASP) is seeking an FPGA Design Engineer IV to serve as a senior technical leader for flight digital logic used in spaceflight science…
Added 3 hours ago
Senior Software Engineer (AI-Native)
Telegent, Inc.
Pleasant Grove, UT
Relational database: The transactional system of record, with real keys and integrity
Added 3 hours ago
Senior AI Operations Engineer (Senior Software Engineer)
Vizient, Inc.
Centennial, CO
Added 3 hours ago
Senior AI Operations Engineer (Senior Software Engineer)
Vizient, Inc.
Centennial, CO
Added 3 hours ago
TA
MEO Missile Warning & Tracking (MWT) SEIT Engineer
The Aerospace Corpor
Colorado Springs, CO
- $117,300 to $175,900 USD / year
The Defense Systems Group (DSG) provides analysis-based decision support to senior leaders on space architectures, policy and strategy, technology development, warfighter capability…
Added 3 hours ago
TA
MEO Missile Warning & Tracking (MWT) Lead SEIT Engineer
The Aerospace Corpor
Colorado Springs, CO
- $151,300 to $226,900 USD / year
Minimum Requirements for Senior Project Engineer - Systems Engineering - Acquisition and Systems Engineering:
Added 4 hours ago
Senior Systems Engineer
QinetiQ
Devens, MA
The Senior Systems engineer is responsible for logical and systematic assembly of test and evaluation protocols based upon customer and derived system requirements. The successful candidate…
Added 4 hours ago
Senior Systems Engineer
QinetiQ
Devens, MA
The Senior Systems engineer is responsible for logical and systematic assembly of test and evaluation protocols based upon customer and derived system requirements. The successful candidate…
Added 4 hours ago
Production Engineer Senior Specialist
Toyota Boshoku America Inc
Hopkinsville, KY
Provide technical support for E-Coat system and other specialized equipment within TBWK.
Added 6 hours ago
Data Engineer
Avalore, LLC
Arlington, VA
The Data Engineer will design, build, and maintain the core WDP data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. This person…
Added 6 hours ago
Network Engineer
Avalore, LLC
Arlington, VA
The Network Engineer will design, implement, and maintain the WDP System's network infrastructure, ensuring secure and efficient connectivity within cloud and hybrid environments. They will…
Added 6 hours ago
Site Reliability Engineer
Avalore, LLC
Arlington, VA
The Site Reliability Engineer (SRE) will ensure the reliability, performance, and scalability of the WDP System. This person will define and track Key Performance Indicators (KPIs) and…
Added 6 hours ago
Database Engineer
Avalore, LLC
Arlington, VA
The Database Engineer will manage and optimize database systems for WDP data storage infrastructure. This person will implement and maintain different data stores, ensure database…
Added 6 hours ago
DevSecOps Engineer
Avalore, LLC
Arlington, VA
The DevSecOps Engineer will maintain and operate the WDP DevSecOps factory and its associated automated pipelines. This person will integrate security into every phase of the software…
Added 6 hours ago
M
Software Engineer II
Microsoft
WA · CA · NY · Redmond, WA · Mountain View, CA · Redmond · Mountain View · New York
- $102,100 to $219,200 USD / year
We are looking for a Software Engineer II to join the Special Projects and Resources Team (SPARTANs) in M365 Core – Substrate. SPARTANs take on strategic projects and difficult engineering…
Added 6 hours ago
M
Senior Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
As a Staff Engineer - AI Infrastructure Reliability in the AI Infrastructure Engineering Systems team, you will design, implement, and ensure the reliability and quality of engineering…
Added 6 hours ago
M
Senior AI Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
As a Senior AI Engineer, you will turn those insights into systems that work in real customer environments. You will prototype, build, evaluate, deploy, debug, and continuously improve…
Added 6 hours ago
M
Senior Software Engineer, Foundry IQ - CoreAI
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $119,800 to $261,000 USD / year
As a Senior Software Engineer, you will build infrastructure that protects customer data and keeps search services reliable. You will own features through design, coding, testing,…
Added 6 hours ago
Senior Electrical Test Engineer
Dayton Power & Light Company
Dayton, OH

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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