Search for Research Scientist Intern roles similar to Monetization Generative AI in Menlo Park, CA, focusing on machine learning and deep learning, requiring a PhD, and offering a monthly salary above $7,800.

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Research Scientist Intern

Menlo Park, CA

Internet

Internship

$7800+

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Research Scientist Intern, Monetization Generative AI (LLM) - Language at Meta is fundamentally about advancing the field of artificial intelligence through deep learning technologies, particularly in the context of natural language processing (NLP). The intern is expected to conduct groundbreaking research that contributes to intelligent machine technologies, focusing on the development of novel and efficient algorithms and systems. Key responsibilities include analyzing and improving existing systems' efficiency and scalability, collaborating across teams, and publishing results. The complexity of the role indicates a hybrid of research and application; therefore, ideal candidates must possess a strong foundation in advanced computational methods while also being adept at navigating the realities of product development. Success in this capacity will require a fine balance of independent research prowess and collaborative communication skills, especially in articulating findings to non-technical stakeholders. The high level of autonomy and expected engagement with large datasets calls for a candidate who is not only technically proficient but also innovative in problem-solving amidst rapidly evolving AI technologies.

Company Analysis:

Meta operates at the forefront of the technology sector, emphasizing connectivity and communication on a global scale. As a leader in the industry, its mission is not only to innovate but to create meaningful social interactions through advanced technologies, including AI. The culture at Meta appears dynamic and collaborative, reflecting its startup roots while also bearing the structured approach of a large, established organization. This environment is fast-paced and laden with opportunities for interns to contribute genuinely impactful research. The Research Scientist Intern position is situated within a larger team of highly skilled individuals, suggesting that interns will have a supportive network for collaboration and learning. By investing in AI and machine learning innovations, this role aligns strategically with Meta's goals of enhancing user experience and product relevance, positioning the intern to make considerable contributions towards shaping the future of intelligent products. Thus, understanding the company’s emphasis on research and development, alongside a collaborative culture, is vital for aligning personal work ethics and career aspirations with Meta’s mission.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to collaborate with a team on a complex project. What was your role, and what was the outcome?
Describe a situation where you developed an algorithm or system that significantly improved performance. What approaches did you take?
Can you share an experience where you faced a major challenge in your research and how you overcame it?
What is your methodology for analyzing and manipulating complex datasets? Can you provide an example?
How would you approach developing a novel NLP algorithm for a specific application at Meta?
Explain your experience with deep learning frameworks like Pytorch or Tensorflow. Can you discuss a project where you applied these tools?
Imagine you are tasked with optimizing an existing NLP system that is facing scalability issues. How would you proceed?
Suppose you are working on a new algorithm for natural language understanding. What steps would you take to ensure its effectiveness and reliability?
What do you find most exciting about working in AI and how does that align with Meta's mission?
Why are you interested in this internship at Meta, and how do you view the role of AI in shaping the future of communication?
What are some recent advancements in the field of artificial intelligence that have caught your attention, and why?
Could you ask about the team you would be working with and how they integrate interns into their ongoing projects?
What opportunities for mentorship or professional growth can you expect in this internship?

Job Details

Overview Company

Research Scientist Intern

$7.8k/m-$11.3k/m

Lensa

a month ago

Highlight

OnsiteInternIntern

Summary

Meta Inc is seeking a Research Scientist Intern, Monetization Generative AI (LLM) - Language (PhD) to join their team in Menlo Park, CA. The role involves advancing the science and technology of intelligent machines and developing novel NLP algorithms.

About the Role

As a Research Scientist Intern, you will perform research to advance intelligent machines, develop NLP algorithms using Deep Learning and Machine Learning, analyze and improve system efficiency, collaborate with researchers and cross-functional partners, and publish research results applicable to Meta product development.

About You

Required:

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Experience with Python, C++, C, Java or other related language.
Experience with deep learning frameworks such as Pytorch or Tensorflow.
Experience building systems based on machine learning, deep learning methods, or natural language processing.

Preferred:

Intent to return to degree program after the completion of the internship/co-op.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences.
Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering.
Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models.
Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
Experience with training deep neural networks for key NLP tasks.
Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute.
Experience building systems based on machine learning, reinforcement learning and/or deep learning methods.
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories.
Experience working and communicating cross functionally in a team environment.

Benefits

$7.8k–$11.3k/month + benefits

Lensa

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Menlo Park, CA