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Software Engineer, Machine Learning Job Opening In Singapore, Singapore – Now Hiring Meta


Job description

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Software Engineer, Machine Learning
role at
Meta
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Software Engineer, Machine Learning
role 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 engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.


Software Engineer, Machine Learning 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
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding
Minimum Qualifications:
8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Demonstrated experience driving change within an organization and leading complex technical projects
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Preferred Qualifications:
Masters degree or PhD in Computer Science or a related technical field
Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
Understanding of information retrieval concepts, such as indexing, querying, and ranking
Grasp of data structures and algorithms, including graph theory and optimization techniques
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.


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.


Seniority level
Seniority level Not Applicable
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Technology, Information and Internet
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Unlock Your Software Engineer Potential: Insight & Career Growth Guide


Real-time Software Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Software Engineer in Singapore, Singapore, highlighting market share and opportunities for professionals in Software Engineer roles.

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Are You Looking for Software Engineer, Machine Learning Job?

Great news! is currently hiring and seeking a Software Engineer, Machine Learning to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Meta adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Software Engineer, Machine Learning Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Software Engineer, Machine Learning?

Key qualifications for Software Engineer, Machine Learning typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Software Engineer, Machine Learning Job Success

Meta interview tips for Software Engineer, Machine Learning

Here are some tips to help you prepare for and ace your Software Engineer, Machine Learning job interview:

Before the Interview:

Research: Learn about the Meta's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Software Engineer, Machine Learning interview at Meta, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Meta's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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