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


Job description

**Summary:**
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.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1.

Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
2.

Implement custom user interfaces using latest programming techniques and technologies
3.

Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
4.

Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
5.

Architect efficient and scalable systems that drive complex applications
6.

Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
7.

Work on a variety of coding languages and technologies
8.

Establish ownership of components, features, or systems with expert end-to-end understanding
**Minimum Qualifications:**
Minimum Qualifications:
9.

8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
10.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11.

Demonstrated experience driving change within an organization and leading complex technical projects
12.

Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
**Preferred Qualifications:**
Preferred Qualifications:
13.

Masters degree or PhD in Computer Science or a related technical field
14.

Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
15.

Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
16.

Understanding of information retrieval concepts, such as indexing, querying, and ranking
17.

Grasp of data structures and algorithms, including graph theory and optimization techniques
**Industry:** Internet

Required Skill Profession

Other General


  • Job Details

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Unlock Your Software Engineer Potential: Insight & Career Growth Guide


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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 . 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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