Software Engineer Intern, Machine Learning (PhD)
Meta

Job Info

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At Meta, we use machine learning across a diverse set of applications to help people discover better content, connect with things that matter most to them, keep our community safe from harmful content, and to build the future of connection within virtual and augmented reality. As an example, we strive to find ways to deliver more engaging content in News Feed, present the most relevant ads possible, and to build the best HW products and tools that help people feel connected, anytime, anywhere. In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, both pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions, as well as building the best models under HW constraints. 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 PhD intern at Meta, you will help build machine learning systems and models behind Meta's products, create web applications that reach millions of people, build high volume servers and be a part of a team that's working to help connect people around the globe As part of our hiring process, PhD interns are pre-assigned to a relevant team based on their expertise and interests. This internship has a minimum twelve (12) week duration with 2023 start dates ONLY.

Software Engineer Intern, 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
• 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 in Computer Science, Computer Vision, Machine Learning, or related field
• Research experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision
• Experience in systems software or algorithms
• Experience in at least one of the following: Java, C/C++, Perl, PHP, or Python
• Experience with cross-group and cross-culture collaboration
• High levels of creativity and quick problem solving capabilities
• Proven track record of achieving significant results
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

• Intent to return to degree-program after the completion of the internship/co-op
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or PhD papers
• Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable

Facebook is proud to be an Equal 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.Facebook 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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