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Urgent! Research Scientist Intern, AI Core Machine Learning (PhD) Job Opening In New York – Now Hiring Meta
**Summary:**
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, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics.
Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
**Required Skills:**
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities:
1.
Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques
2.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms
3.
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence
4.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio)
5.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
6.
Contribute to research that can be applied to Meta product development
**Minimum Qualifications:**
Minimum Qualifications:
7.
Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, Signal Processing, or relevant technical field
8.
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
9.
Experience with Python, C++, C, Java or other related language
10.
Experience with deep learning frameworks such as Pytorch or Tensorflow
11.
Experience building systems based on machine learning and/or deep learning methods
12.
Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar
**Preferred Qualifications:**
Preferred Qualifications:
13.
Intent to return to degree program after the completion of the internship/co-op
14.
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, ICLR, ICML, AAAI, AISTATS, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
15.
Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
16.
ML/ AI research and/ or work experience in information retrieval problems, generative approaches, and/ or Natural Language Processing, CV, or Speech/ Audio
17.
Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
18.
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
19.
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.
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Unlock Your Research Scientist Potential: Insight & Career Growth Guide
Real-time Research Scientist Jobs Trends in New York, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Research Scientist in New York, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 33462 jobs in United States and 1151 jobs in New York. This comprehensive analysis highlights market share and opportunities for professionals in Research Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Meta is currently hiring and seeking a Research Scientist Intern, AI Core Machine Learning (PhD) to join their team. Feel free to download the job details.
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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:The average salary range for a Research Scientist Intern, AI Core Machine Learning (PhD) Jobs United States varies, but the pay scale is rated "Standard" in New York. 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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