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Research Engineer, Wearables Multimodal AI Job Opening In Redmond – Now Hiring Meta


Job description

**Summary:**
Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms.

We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As Research Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect.

What we build today could one day be the norm.

So to be here today is to truly be at the heart of change and the frontier of what's to come.

We're the people helping to define the metaverse.

We may not have all the answers.

But together, we're getting closer.Meta is seeking AI Software Engineers to join our Research & Development teams.

The ideal candidate will have industry experience working on VLM, LLMs and related topics.

The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web.

We are hiring in multiple locations.
**Required Skills:**
Research Engineer, Wearables Multimodal AI Responsibilities:
1.

Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiences
2.

Consistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes
3.

Effectively define projects for other engineers to possibly solve and achieve impact based on your direction
4.

Develop novel, accurate AI algorithms and advanced systems for large scale applications
5.

Understand why some signals and model configurations work while others don't and be able to drive more gain from these findings
6.

Define use cases and develop methodology and benchmarks to evaluate different approaches
**Minimum Qualifications:**
Minimum Qualifications:
7.

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
8.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
9.

2+ years of experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
10.

Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
**Preferred Qualifications:**
Preferred Qualifications:
11.

Experience in deep learning and PyTorch
12.

Experience with distributed systems or on-device algorithm development
13.

Experience contributing to AI Publications
**Public Compensation:**
$56.25/hour to $173,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
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@fb.com.


Required Skill Profession

Other General


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Unlock Your Research Engineer Potential: Insight & Career Growth Guide


Real-time Research 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 Research Engineer in Redmond, United States, highlighting market share and opportunities for professionals in Research Engineer roles.

190952 Jobs in United States
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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 United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Redmond. 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 Research Engineer, Wearables Multimodal AI?

Key qualifications for Research Engineer, Wearables Multimodal AI 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 Research Engineer, Wearables Multimodal AI Job Success

Meta interview tips for Research Engineer, Wearables Multimodal AI

Here are some tips to help you prepare for and ace your Research Engineer, Wearables Multimodal AI 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.

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

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Research Engineer, Wearables Multimodal AI 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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