Meta Platforms
Research Scientist Intern, AI for Egocentric Representation Learning (PhD)
Meta Platforms, Redmond, Washington, United States, 98052
Research Scientist Intern, AI for Egocentric Representation Learning (PhD)
Reality Labs Research is looking for an intern to help us develop the next generation assistance systems that guide the users in contextual and adaptive future AR/VR systems. In particular, we are seeking candidates who have experience with either of the following: multimodal learning, self-supervised learning, video understanding, representation learning. Work with researchers to help enable their work across the following research disciplines: AI for Egocentric Representation Learning, Multimodal Learning. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Responsibilities
Develop, implement, and evaluate methods for learning robust representations from multi-modal egocentric data (e.g., video, audio, inertial measurement units). Make use of Meta's large infrastructure to scale and speed up experimentation. Write modular research code that can be reused in other contexts. Collaborate with other researchers. Work towards taking on big problems and deliver clear, compelling, and creative solutions to solve them at scale. The work should result in publishable research to appear in a top-tier ML or CV conference (e.g., NeurIPS, ICLR, CVPR, ECCV). Minimum Qualifications
Currently has or is in the process of pursuing a PhD in Machine Learning, Computer Vision, Speech Processing, Applied Statistics, Computational Neuroscience, or relevant technical field. Research skills involving defining problems, exploring solutions, and analyzing and presenting results. Proficiency in Python and Machine Learning libraries (Numpy, Scikit-learn, Scipy, Pandas, Matplotlib, Tensorflow, Pytorch, etc.). Understanding of at least one of the following areas: Transfer, few-shot, zero-shot, continual and/or online learning, self-supervised learning, or multi- or cross-modal learning. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications
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, ICML, ICLR, CHI, UIST, IMWUT, CVPR, ICCV, ECCV, AAAI, ICRA, SIGGRAPH, ETRA, or similar. Experience with deep metric learning / neural net embedding methods. Experience on vision based input recognition systems, such as hand tracking, body pose estimation. Experience on working with time sequence form sensor data, such as IMU and audio. Experience working and communicating cross functionally in a team environment. Intent to return to degree program after the completion of the internship/co-op. $7,650/month to $12,134/month + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Reality Labs Research is looking for an intern to help us develop the next generation assistance systems that guide the users in contextual and adaptive future AR/VR systems. In particular, we are seeking candidates who have experience with either of the following: multimodal learning, self-supervised learning, video understanding, representation learning. Work with researchers to help enable their work across the following research disciplines: AI for Egocentric Representation Learning, Multimodal Learning. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Responsibilities
Develop, implement, and evaluate methods for learning robust representations from multi-modal egocentric data (e.g., video, audio, inertial measurement units). Make use of Meta's large infrastructure to scale and speed up experimentation. Write modular research code that can be reused in other contexts. Collaborate with other researchers. Work towards taking on big problems and deliver clear, compelling, and creative solutions to solve them at scale. The work should result in publishable research to appear in a top-tier ML or CV conference (e.g., NeurIPS, ICLR, CVPR, ECCV). Minimum Qualifications
Currently has or is in the process of pursuing a PhD in Machine Learning, Computer Vision, Speech Processing, Applied Statistics, Computational Neuroscience, or relevant technical field. Research skills involving defining problems, exploring solutions, and analyzing and presenting results. Proficiency in Python and Machine Learning libraries (Numpy, Scikit-learn, Scipy, Pandas, Matplotlib, Tensorflow, Pytorch, etc.). Understanding of at least one of the following areas: Transfer, few-shot, zero-shot, continual and/or online learning, self-supervised learning, or multi- or cross-modal learning. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications
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, ICML, ICLR, CHI, UIST, IMWUT, CVPR, ICCV, ECCV, AAAI, ICRA, SIGGRAPH, ETRA, or similar. Experience with deep metric learning / neural net embedding methods. Experience on vision based input recognition systems, such as hand tracking, body pose estimation. Experience on working with time sequence form sensor data, such as IMU and audio. Experience working and communicating cross functionally in a team environment. Intent to return to degree program after the completion of the internship/co-op. $7,650/month to $12,134/month + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.