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Research Scientist Intern, Code LLM & Agents (PhD) Job Opening In Menlo Park – Now Hiring Meta


Job description

**Summary:**
Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another.

With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world.

We are seeking individuals passionate in areas such as deep learning, agentic modeling, code generation, compilers, programming languages, natural language processing, machine learning, computational statistics, and applied mathematics.

Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.We offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.
**Required Skills:**
Research Scientist Intern, Code LLM & Agents (PhD) Responsibilities:
1.

Perform research to advance the science and technology of intelligent machines.
2.

Develop novel methods and systems to advance the state of the art in agentic models.
3.

Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
**Minimum Qualifications:**
Minimum Qualifications:
4.

Currently is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or relevant technical field
5.

Experience with agent modeling, reinforcement learning, code generation, computational world modeling, language modeling, planning, agentic scaffolds, memory systems, or related areas, as demonstrated by publications, coursework, blog posts, prior internships, and other relevant contributions
6.

Experience with Python and deep learning frameworks such as Pytorch or Tensorflow, as demonstrated by course projects, open source releases, or similar venues
7.

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
8.

Intent to return to a degree program after the completion of the internship
9.

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICCV, ECCV, ICLR, ICML, ACL, NAACL, EMNLP, or similar
10.

Experience with interpreting deep neural networks mechanistically, correlating their observable behavior with properties of model parameters and activations
11.

Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
12.

Experience working and communicating cross functionally in a team environment
**Public Compensation:**
$7,650/month to $12,134/month + 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

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Unlock Your Research Scientist Potential: Insight & Career Growth Guide


Real-time Research Scientist 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 Scientist in Menlo Park, United States, highlighting market share and opportunities for professionals in Research Scientist roles.

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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 Menlo Park. 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.

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Meta interview tips for Research Scientist Intern, Code LLM & Agents (PhD)

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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.

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

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Final Thought:

To prepare for your Research Scientist Intern, Code LLM & Agents (PhD) interview at Meta, research the company, understand the job requirements, and practice common interview questions.

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

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