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Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
GE Aerospace
Erie, PA · Imperial, PA · Trevose, PA
- $131,000 to $174,000 USD / year
Minimum 5 years of professional experience in Application Operations or systems administration supporting enterprise or engineering applications
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PCB HW Design Engineer
Broadcom
Allentown, PA
Have a systems-level vision beyond just electrical design, creating a test solution that incorporates HW, SW, FW, mechanical, and manufacturability concerns.
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Broadcast - Assistant Chief Engineer
WGAL-TV
Lancaster, PA
…Harrisburg-Lancaster-Lebanon-York, PA market has an opening for an Assistant Chief Engineer. In this role, you will help lead a team of technical professionals ranging from studio operators…
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Broadcast - Assistant Chief Engineer
WGAL-TV
Lancaster, PA
…Harrisburg-Lancaster-Lebanon-York, PA market has an opening for an Assistant Chief Engineer. In this role, you will help lead a team of technical professionals ranging from studio operators…
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Data Engineer, Analytics (Technical Leadership)
Meta
Harrisburg, PA
Data Engineer, Analytics (Technical Leadership) Responsibilities:
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Cloud Engineer
Maximus
Harrisburg, PA
Maximus is seeking a Cloud Engineer to support a defense client remotely.
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Software Engineer, Machine Learning RecSys
Meta
Harrisburg, PA
Software Engineer, Machine Learning RecSys Responsibilities:
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Staff Software Architect
CVS Health
Harrisburg, PA
…enterprise-wide influence. You will define the long-term software and systems architecture vision for the Clinical Insights Engine platform, drive cross-functional alignment on engineering…
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AI Operations Administrator - Gravitee - Remote US
SitusAMC
Harrisburg, PA
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Multimedia Technician
WTAE-TV
Pittsburgh, PA
…Engineering Technician. You will maintain the station's equipment and systems from acquisition to distribution. This position provides technical and IT support for all station efforts. You…
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Senior Labeling Quality Engineer / SME - Medical Devices
NTT Data Americas, Inc.
Pittsburgh, PA
NTT DATA's Client is currently seeking a Senior Labeling Quality Engineer / SME - Medical Devices to join their team in Pittsburgh, Pennsylvania (US-PA), United States (US). REMOTE
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Operations Data Engineer (On Site Only)
ZOLL Services LLC (on SAM site)
Pittsburgh, PA
…GAMMA DRIVE PITTSBURGH, PA 15238Job SummaryThe Operations Data Engineer supports ZOLL's smart manufacturing and data-driven transformation efforts by designing, building, and maintaining…
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Cybersecurity, Privacy and Forensics - Palo Alto Networks XSIAM Engineer
PwC
Philadelphia, PA
As a SecOps Engineer specializing in Palo Alto Networks XSIAM or Google technologies, you will play a pivotal role in identifying and analyzing potential threats to an organization's…
Added 1 min ago
EG
Databricks Data Engineer
Eliassen Group
Harrisburg, PA
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 1 min ago
EG
Cloud Engineer
Eliassen Group
Harrisburg, PA
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 1 min ago
EA
FRCS Systems Administrator
Empower AI Inc.
Ft Drum, NY
- $63,500 USD / year
As a FRCS Systems Administrator, you will provide on-site system administration and cybersecurity lifecycle management support in support of the US Army Garrison Fort Drum Directorate of…
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Cloud Engineer-Advisor (AWS)
Fannie Mae
Reston, VA · Plano, TX
…to the design and development of information technology (IT) infrastructure environments, including coding, testing, and certifying technology platforms, software, and applications. You'll…
Added 2 mins ago
Senior Data Engineer
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San Antonio, TX · Findlay, OH
As a Senior Data Engineer, you will design, develop, and optimize scalable data pipelines and cloud-based data solutions using modern data architecture, Azure data services, including Data…
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Product Security Engineer
Group 1001 Resources, LLC
Remote, United States
As a Product Security Engineer at Group 1001, you will lead efforts to integrate security best practices into the full product development lifecycle, ensuring the security and integrity of…
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Project Engineer Electrical
MSA Professional Services, Inc.
Sarasota, FL
- $79,000 to $126,500 USD / year
MSA is excited to announce an opportunity for Project Engineer - Electrical in our Sarasota FL office. The successful candidate will be responsible for overseeing and managing electrical…
Added 3 mins ago
Systems Engineer II
California Institute Of Technology Jet Propulsion Laboratory
United States
We are seeking a Systems Engineer II to support the development, integration, test, and operational readiness of JPL flight systems. This position will be responsible for the design,…
Added 9 mins ago
Software Engineer I
Jorie AI
Remote, United States
We are seeking a Software Engineer I to build and maintain intelligent automation for Revenue Cycle Management (RCM) in healthcare. You will develop Python automation that works across EHR…
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Principal Identity Security Engineer - Privileged Access Management (PAM)
Boston Scientific
Arden Hills, MN
We are seeking a Principal Identity Security Engineer specializing in Privileged Access Management (PAM) to provide advanced technical leadership in the architecture, engineering, security…
Added 11 mins ago
Senior Systems Engineer, Avionics
Varda Space Industries
El Segundo, CA
The Senior Systems Engineer, Avionics oversees the design, integration, and testing of avionics systems for our Winnebago Spaceship. They ensure that all systems are ready for both launch…
Added 11 mins ago
Avionics Test Engineer II
Varda Space Industries
El Segundo, CA
As an Avionics Test Engineer II, you'll play a key role in the design and operation of critical systems that simulate and stress-test flight hardware to prove it is ready for its trip to…

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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