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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. They will also need to be comfortable in a fast-moving organization, open-minded about learning new research methods, committed to high-quality and rigorous research, and focused on influencing the future of Meta.
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Experience coding with R, SQL, STATA, SPSS or equivalent. Degrees in a human behavior related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics.
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Our UX Research team is designing for the global diversity of human needs, which requires us to deeply understand the behaviors of the people behind them. Experience with consumer products, consumer insights, or product development.
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Work cross-functionally with design, product management, content strategy, engineering and marketing. This job description represents different full-time roles across Meta. We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys, focus groups, field studies, usability tests, and 1:1 interviews.
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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.
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Strong understanding of artificial intelligence, machine learning, and deep learning technologies. PDO provides data and insights that power machine learning and AI, at the core of all Meta products.
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Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy. Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries.
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Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources. 4+ years of work experience in data engineering (a minimum of 2+ years with a Ph. D.
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As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.
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Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
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Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.
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C#, Scala, etc.) Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems. Master's or Ph. D degree in a STEM field.
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Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.
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Together, we are committed to building innovative technologies — Facebook, Instagram, Messenger, WhatsApp, Workplace, Meta Quest and more — to serve billions of people around the globe. In this role, you'll be a foundational member on the leadership team, working together with your counterparts in engineering, data science, UX research, content design, and other disciplines to define the strategy, operations and communications that guide the team to build great products addressing real user needs.
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machine learning jobs Company: Facebook
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