---
title: 'Staff Machine Learning Engineer, Simulation at Wing'
canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-simulation-wing-palo-alto-k2k0ky44s04y'
type: 'job'
last_seen: '2026-09-09'
---

# Staff Machine Learning Engineer, Simulation at Wing

- **Company:** Wing
- **Location:** Palo Alto, CA
- **Compensation:** $274k–$292k
- **Posted:** 2026-07-17
- **Last confirmed live:** 2026-09-09
- **Apply:** https://wing.com/careers/8607033002?gh_jid=8607033002

## Job description

About Wing:

Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us.

About the Role:

Wing is looking for a Staff Machine Learning Engineer, Simulation to join our Simulation team. This role is hybrid based in Palo Alto.

Simulation is a core technology for Wing. We provide essential tools for R&D and are critical to ensuring the reliability of our fleet of autonomous aircraft. The simulation team’s work spans vehicle physics and sensor modeling, large-scale simulation frameworks, test infrastructure for backend verification and integrated avionics and system testing.

The Staff Machine Learning Engineer, Simulation is a foundational role for someone who thrives on both technical execution and strategic growth. You will be a key driver in integrating advanced ML techniques into Wing’s simulation stack. You will define and execute the strategy for enhancing simulator realism, and develop industry-leading simulation solutions using advanced generative and reconstructive ML algorithms to model the real world.

What You’ll Do:

- Lead the design, development and deployment of world models and generative systems for realistic and controllable sensor generation for large-scale simulation at Wing’s autonomous system.
- Develop generative pipelines to build high-fidelity synthetic datasets, leveraging SOTA multimodal models, diffusion techniques and world-models to simulate complex 4D environments.
- Partner with research teams across Alphabet to integrate advanced modeling techniques.
- Champion sim-to-real efforts, using domain adaptation and transfer learning techniques to ensure our simulated models faithfully capture the behaviors of  physical, on-vehicle systems.
- Apply VLMs to enhance the understanding and controllability of our world simulation products.
- Play a pivotal role in shaping the broader AI infrastructure across the organization, establishing best practices, optimizing workflow management for large-scale training, and championing foundational AI initiatives.

What You’ll Need:

- 12+ years of experience developing and designing machine learning applications, autonomous systems, or simulation platforms.B.S, M.S., or Ph.D. degree or equivalent practical experience in Computer Science, Machine Learning, Robotics, or a related field.
- Demonstrated ability to lead technical ML projects of significant scope and complexity, driving initiatives from research to production-ready solutions.
- Deep expertise in 3D World Modeling or 3D computer vision.
- Familiarity with 3D reconstruction and rendering techniques (e.g., 3D Gaussian Splatting).
- In-depth knowledge of generative AI, predictive world models, autoregressive models, or self-supervised learning from multi-modal sensor streams.
- Hands-on experience with sim-to-real transfer, domain adaptation, and world models.
- Experience developing testing frameworks and evaluating ML models for edge cases and rare events in complex systems.

The US base salary range for this full-time position is the salary range below + bonus + equity + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process.

Salary Range $274,000—$292,000 USD

Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.

If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our [Candidate Accommodations Request Form](https://forms.gle/5wEF3MvTtEckFyAM8).

## About Wing

## Company Overview
- **One-liner**: Wing is an Alphabet company that operates a fleet of lightweight, highly automated delivery drones to transport small packages directly from businesses to homes in minutes.
- **Entity Type**: Private (Subsidiary of Alphabet Inc.)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2012 (started in the labs of X, Alphabet's Moonshot Factory)
- **Founders**: Not publicly listed as individual founders; originated as a project within X (Alphabet's Moonshot Factory)

## Core Business
- **Primary industry/industries**: Drone Delivery / Last-Mile Logistics / Aviation Technology
- **Target customers**: B2B (retailers like Walmart, DoorDash) and B2C (consumers receiving deliveries)
- **Mission or purpose statement**: "We’re working to make delivery more convenient, sustainable, and accessible" [wing.com](https://wing.com/careers)

## Products & Services
- **Drone Delivery Service**: A fully operational, FAA-approved commercial drone delivery service that delivers small packages (food, medicine, household essentials) directly to homes in minutes. The service is integrated with major retailers like Walmart and DoorDash. [wing.com](https://wing.com/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (Alphabet subsidiary)
- **Key Metric**: Over 1 million residential deliveries completed; operates one of the largest aircraft fleets in the world [wing.com](https://wing.com/about)
- **Notable Investors/Partners**: Alphabet Inc. (parent company), Walmart, DoorDash. Executive team includes experience across aerospace, technology, and consumer brands [wing.com](https://wing.com/about)
- **Growth Signals**:
    - Headcount of 465 employees (+11.6% YoY) [LinkedIn](https://www.linkedin.com/company/wing)
    - Expanding to nearly 20 U.S. metros with a network of 270+ Walmart stores for coast-to-coast U.S. scale (announced 2025/2026) [wing.com](https://wing.com/about)
    - Received first FAA Part 135 Air Carrier Certificate for drone operations in 2019 [wing.com](https://wing.com/about)
    - Strong partnerships with Walmart and DoorDash [wing.com](https://wing.com/about)

## Competitive Advantages
- **First-mover advantage**: First company to receive FAA approval for commercial drone delivery to homes in the U.S. (2019).
- **Alphabet backing**: Deep resources, talent, and technological support from its parent company.
- **Proven scale**: Over 1 million deliveries and operating one of the largest aircraft fleets globally.
- **Regulatory expertise**: Pioneered the safety standards and regulatory framework for drone delivery in the U.S.

## Strategic Focus
- **Current priorities and direction for growth**: Scaling the drone delivery network across the U.S. (targeting 270+ Walmart stores and 20 metros), strengthening partnerships with major retailers (Walmart, DoorDash), and expanding service hours and coverage areas [wing.com](https://wing.com/about).

## Why Work Here
- **Culture**: Wing emphasizes a "respectful, collaborative, and open culture" and solving complex problems as a team. They describe their mission as "building an entirely new industry." [wing.com](https://wing.com/careers)
- **Remote/Hybrid Policy**: Offers remote roles (especially in Software Engineering, Analytics, and Operations) alongside on-site positions in Palo Alto, CA and Dallas, TX [greenhouse.io](https://job-boards.greenhouse.io/embed/job_app?for=wing&token=7832926002&t=)
- **Notable Perks**:
    - Financial wellbeing: Competitive compensation, 401K matching, generous retirement plans, 1-on-1 financial coaches [wing.com](https://wing.com/careers)
    - Health and wellness: Top-tier healthcare providers, wellness & mental health programs, paid vacation, parental leave [wing.com](https://wing.com/careers)
    - Career development: Workshops, lunch & learns, fireside chats [wing.com](https://wing.com/careers)
- **Engineering Culture**: Teams work on complex problems in hardware engineering (battery, power systems, reliability), software engineering (navigation, machine learning, perception), and operations at scale. The company is building the future of delivery from scratch [wing.com](https://wing.com/careers).

## Sources
1. [wing.com - About](https://wing.com/about)
2. [wing.com - Careers](https://wing.com/careers)
3. [wing.com - Homepage](https://wing.com/)
4. [LinkedIn - Wing](https://www.linkedin.com/company/wing)
5. [Greenhouse - Wing Jobs](https://job-boards.greenhouse.io/embed/job_app?for=wing&token=7832926002&t=)

## Other roles at Wing

- [Construction Site Manager](https://feeny.ai/job/construction-site-manager-wing-united-states-yr30m254ksf7) — United States
- [Head of Hardware Architecture and Technologies](https://feeny.ai/job/head-of-hardware-architecture-and-technologies-wing-palo-alto-cdrvt4ry3669) — Palo Alto, CA
- [Senior Failure Analysis Engineer](https://feeny.ai/job/senior-failure-analysis-engineer-wing-palo-alto-h6arxtqb5761) — Palo Alto, CA
- [Purchasing Operations Manager](https://feeny.ai/job/purchasing-operations-manager-wing-palo-alto-msh6hksxvcv5) — Palo Alto, CA
- [Senior Aerodynamics and Propulsion Test Engineer](https://feeny.ai/job/senior-aerodynamics-and-propulsion-test-engineer-wing-palo-alto-6d5wh3bs6exs) — Palo Alto, CA
- [Senior Aerodynamics Engineer](https://feeny.ai/job/senior-aerodynamics-engineer-wing-palo-alto-5tv1tv1kdr13) — Palo Alto, CA
- [Head of Flight Test Engineering](https://feeny.ai/job/head-of-flight-test-engineering-wing-palo-alto-68twwgns7fk6) — Palo Alto, CA
- [Ground Crew Evaluator](https://feeny.ai/job/ground-crew-evaluator-wing-dallas-avp3mke04tnj) — Dallas, TX
- [Manufacturing Software Test Engineer](https://feeny.ai/job/manufacturing-software-test-engineer-wing-dallas-vv8pm45mg4hx) — Dallas, TX
- [Staff Product Manager](https://feeny.ai/job/staff-product-manager-wing-palo-alto-r09n65wj02nj) — Palo Alto, CA