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Software Engineering, Machine Learning (Singapore)

Meta

Software Engineering, Machine Learning (Singapore)

Meta

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible PTO policy

Health, dental, and vision coverage

Learning and development stipend

Wellness benefits

Required Skills

Apache Spark

SQL

PyTorch

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Meta

Software Engineering, Machine Learning (Singapore)

2 months ago• Singapore
Viewed on February 1, 2026
Apply on company site

About Us

Meta builds technologies that help people connect, find communities and grow businesses.

  • Size: 10000+ employees
  • Industry: Engineering, Social Media, Technology

View Company Profile:

Meta is seeking talented engineers to join our teams in building cutting-edge products, with the mission of connecting 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 and working on exciting projects that have a significant impact, we encourage you to apply.

Software Engineering, Machine Learning (Singapore) 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:

  • 2+ years of programming experience in a relevant programming language
  • 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
  • 2+ years relevant experience using frameworks such as Py Torch, Tensor Flow or equivalent
  • Proven experience to translate insights into business recommendations
  • Experience with scripting languages such as Python, Javascript or Hack Perl, PHP, and shell scripts
  • Experience building and shipping high quality work and achieving high reliability
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Preferred Qualifications:

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  • By signing up, you agree to our • Exposure to architectural patterns of large scale software applications
  • PhD degree or research focused Master degree in ML areas

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.

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.

Client-provided location(s): Singapore Job ID: a1KDp00000E2eQ8MAJEmployment Type: OTHERPosted: 2025-11-07T19:55:19Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Health Reimbursement Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • FSA
  • FSA With Employer Contribution
  • HSA
  • HSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Mental Health Benefits

Parental Benefits

  • Birth Parent or Maternity Leave
  • Non-Birth Parent or Paternity Leave
  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Commuter Benefits Program
  • Casual Dress
  • Happy Hours
  • Snacks
  • Some Meals Provided
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events

Vacation and Time Off

  • Paid Vacation
  • Unlimited Paid Time Off
  • Paid Holidays
  • Personal/Sick Days
  • Sabbatical
  • Leave of Absence

Financial and Retirement

  • 401(K)
  • 401(K) With Company Matching
  • Pension
  • Company Equity
  • Performance Bonus
  • Relocation Assistance
  • Financial Counseling

Professional Development

  • Learning and Development Stipend
  • Promote From Within
  • Mentor Program
  • Shadowing Opportunities
  • Access to Online Courses
  • Lunch and Learns
  • Internship Program

Diversity and Inclusion

Company Videos

Hear directly from employees about what it is like to work at Meta.
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Next Up Hear From A Software Engineering Manager At Meta, Erica ROUGH V201:08

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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