refresh

Trending Companies

Trending

Jobs

JobsMeta

Software Engineering Manager, Computer Vision

Meta

Software Engineering Manager, Computer Vision

Meta

Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$184,000 - $184,000

Benefits & Perks

Professional development budget

Comprehensive health, dental, and vision insurance

401(k) matching

Generous paid time off and holidays

Competitive salary and equity package

Parental leave

Learning

Healthcare

Equity

Parental Leave

Required Skills

PostgreSQL

Node.js

React

Meta Reality Labs seeks an experienced Engineering Manager to build the future. Our team values innovation, collaboration, and proven technical expertise.

You will shape tomorrow's reality, developing cutting-edge technologies for current and future Reality Labs products: immersive MR/AR devices, AI glasses, AI agents, and advanced robotics.

You'll lead the development of our 3D Maps that make Meta's Wearables and VR devices spatially- and location-aware. If you want to push the boundaries and bring expertise in computer vision, slam, mapping and 3D reconstruction join us to architect the future.

Software Engineering Manager, Computer Vision Responsibilities:

  • Lead and manage a team of software engineers to deliver high-quality products and solutions
  • Collaborate with cross-functional teams to drive technical innovation
  • Develop and implement technical strategies to achieve business objectives
  • Foster an environment of continuous learning, growth, and improvement

Minimum Qualifications:

  • 8+ years of, or PhD + 4 years of software engineering work experience, including hands on technical management
  • Demonstrated experience recruiting, building, structuring, and leading technical organizations, including performance management
  • Bachelor of Science/Masters in Computer Science or equivalent practical experience
  • Experience supporting, coaching, mentoring, and developing software engineers
  • 2+ years of experience in managing a team of engineers with varied skill levels

Preferred Qualifications:

  • Experience in managing teams productizing Computer Vision or Artificial Intelligence/Machine Learning technologies from conception to end
  • Technical experience in leading teams/projects in one or more of the technical domains of machine perception (i.e., machine vision, deep learning, sensors and robotics)
  • Experience in leading teams interfacing with Hardware (sensors, silicon) teams in setting requirements and product tradeoffs
  • Experience managing joint hardware-software development and associated rapid prototyping projects
  • Masters, PhD, or work experience in a related field of Computer Vision, or AI/Machine Learning in domains related to Simultaneous Localization and Mapping/Position Tracking, 3D reconstruction, depth sensing, bayesian filtering, information theory, or 3D geometry

About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Contact & Location

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding