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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is seeking experienced full-stack Software Engineers to join our product teams.
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1+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field.
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Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution.
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Experience with developing machine learning models at scale from inception to business impact. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.
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Exposure to architectural patterns of large scale software applications. 5+ years of experience in software engineering or a relevant field. and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts.
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Masters degree or PhD in Computer Science or a related technical field. 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.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Code deliverables in tandem with the engineering team. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.
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We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. If you need any assistance or accommodations due to a disability, please let us know at.
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You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
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Meta participates in the E-Verify program in certain locations, as required by law. Leading projects or small teams of people to help them unblock, advocating for ML excellence. 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.
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3+ years of experience if you have a PhD. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.
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Suggest, collect and synthesize requirements and create effective feature roadmaps. Knowledge developing and debugging in C/C.
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Suggest, collect and synthesize requirements and create effective feature roadmaps. Knowledge developing and debugging in C/C.
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Suggest, collect and synthesize requirements and create effective feature roadmaps. Knowledge developing and debugging in C/C.
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machine learning software jobs Company: Facebook
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