3 days ago

Software Engineer, Machine Learning

Meta

On Site
Full Time
$190,000
Boston, MA

Job Overview

Job TitleSoftware Engineer, Machine Learning
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$190,000
LocationBoston, MA

Who's the hiring manager?

Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Uncover Hiring Manager

Job Description

Software Engineer, Machine Learning at Meta

Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.

Responsibilities

  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  • Implement custom user interfaces using latest programming techniques and technologies
  • Develop reusable software components for interfacing with back-end platforms
  • Analyze and optimize code for quality, efficiency, and performance
  • Lead complex technical or product efforts and provide technical guidance to peers
  • Architect efficient and scalable systems that drive complex applications
  • Identify and resolve performance and scalability issues
  • Work on a variety of coding languages and technologies
  • Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of programming experience in a relevant language or 3+ years of experience + PhD
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • Experience building maintainable and testable code bases, including API design and unit testing techniques

Preferred Qualifications

  • 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java
  • Experience building and shipping high quality work and achieving high reliability
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack

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 WhatsApp 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.

Key skills/competency

  • Machine Learning
  • Software Engineering
  • Artificial Intelligence
  • Python
  • Java
  • C++
  • Scalability
  • API Design
  • Data Mining
  • Recommendation Systems

Tags:

Software Engineer, Machine Learning
Collaboration
System Design
Code Optimization
API Design
Scalability
Feature Development
Technical Leadership
Problem Solving
Data Analysis
User Experience
Machine Learning
Python
C++
Java
PyTorch
TensorFlow
Data Mining
AI
Recommendation Systems
Pattern Recognition

Share Job:

How to Get Hired at Meta

  • Research Meta's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand the company's ethos and impact.
  • Tailor your resume: Customize your resume and cover letter to highlight experience in machine learning, large-scale systems, and relevant programming languages (Python, C++, Java) specific to Meta's needs.
  • Showcase impact and scale: Emphasize projects where you built, optimized, or led efforts on products connecting many users or handling significant data volumes at Meta's scale.
  • Prepare for technical interviews: Practice data structures, algorithms, system design, and machine learning concepts relevant to Meta's products and infrastructure.
  • Highlight collaboration and leadership: Be ready to discuss experiences in cross-functional teamwork, driving consensus, and mentoring peers within a fast-paced, innovative environment.

Frequently Asked Questions

Find answers to common questions about this job opportunity

Explore similar opportunities that match your background