Machine Learning Engineer
New York, New York
Employer: Meta
Industry:
Salary: Competitive
Job type: Full-Time
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
Machine Learning Engineer Responsibilities
Minimum Qualifications
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Machine Learning Engineer Responsibilities
- Develop highly scalable classifiers and tools leveraging machine learning, data 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, including distributed clusters, multicore SMP, and GPU.
Minimum Qualifications
- Requires a Master's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field and 48 months of experience in job offered or in a related occupation. Foreign degree equivalent accepted. Experience must include 48 months involving the following:
- 1. Machine learning, recommendation systems, pattern recognition, data mining and artificial intelligence
- 2. Translating insights into business recommendations
- 3. Scripting languages, including Perl, Python, PHP, and shell scripts
- 4. SQL, ETL, and data modeling
- 5. Proof-of-concepts of state-of-the-art AI models on complex real world datasets, and productionizing research ideas using AI and ML frameworks
- 6. Statistics methods, including forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and statistical/mathematical software (R)and
- 7. Addressing big picture questions by framing the question, turning it into an analytical plan, executing and communicating to stakeholders.
Start preparing
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Created: 2024-06-04
Reference: 1782887362191964
Country: United States
State: New York
City: New York
ZIP: 10036
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