Facebook
Research Scientist, Machine Learning (PhD)
Facebook, Seattle, Washington, us, 98127
Summary:
Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world. In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project. As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Required Skills:
Research Scientist, Machine Learning (PhD) Responsibilities:
Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.
Suggest, collect and synthesize requirements and create effective feature roadmap. Build strong cross-functional partnerships and code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Perform specific responsibilities which vary by team.
Minimum Qualifications:
Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta.
Experience programming in a relevant programming language.
Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence.
Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent.
Proven experience to translate insights into business recommendations.
Experience with scripting languages such as Python, Javascript or Hack.
Experience building and shipping high quality work and achieving high reliability.
Experience in systems software or algorithms.
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
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.
Preferred Qualifications:
Demonstrated software engineer experience via an internship, work experience, coding competitions, or contributions in open source repositories (e.g. GitHub).
Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Interpersonal experience working and communicating cross-functionally in a team environment.
Exposure to architectural patterns of large scale software applications.
PhD degree or research-focused Master degree in ML areas.
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 .
#J-18808-Ljbffr
Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world. In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project. As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Required Skills:
Research Scientist, Machine Learning (PhD) Responsibilities:
Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.
Suggest, collect and synthesize requirements and create effective feature roadmap. Build strong cross-functional partnerships and code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Perform specific responsibilities which vary by team.
Minimum Qualifications:
Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta.
Experience programming in a relevant programming language.
Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence.
Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent.
Proven experience to translate insights into business recommendations.
Experience with scripting languages such as Python, Javascript or Hack.
Experience building and shipping high quality work and achieving high reliability.
Experience in systems software or algorithms.
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
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.
Preferred Qualifications:
Demonstrated software engineer experience via an internship, work experience, coding competitions, or contributions in open source repositories (e.g. GitHub).
Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Interpersonal experience working and communicating cross-functionally in a team environment.
Exposure to architectural patterns of large scale software applications.
PhD degree or research-focused Master degree in ML areas.
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 .
#J-18808-Ljbffr