Machine Learning Research Scientist (PhD)

À propos

Summary: Join Meta's cutting-edge research team and be a part of a transformative journey in technology and business. As a Machine Learning Research Scientist, you will lead projects that redefine how people connect globally. Your responsibilities will involve proactively enhancing your assigned systems and building robust partnerships across teams. You will also gather and synthesize requirements to formulate effective feature roadmaps. Your expertise in frameworks such as PyTorch, TensorFlow, or similar will be crucial as you tackle significant social data and prediction challenges. This role emphasizes high-quality code development and offers a dynamic environment fostering innovation, collaboration, and professional growth. If you are passionate about pushing boundaries in scalable computing and driving meaningful change through technology, we encourage you to apply! Responsibilities: Proactively identify and implement changes within your designated system and codebase. Build and maintain strong cross-functional partnerships to deliver high-quality code. Gather insights and translate them into actionable feature roadmaps. Perform unique responsibilities as assigned by your team. Minimum Qualifications: A PhD degree (or in progress) in Computer Science, Computer Engineering, or a related technical field, completed prior to joining Meta. A Bachelor’s degree in a relevant technical field or equivalent experience. Experience with frameworks like PyTorch or TensorFlow. Ability to translate insights into meaningful business recommendations. Experience delivering high-quality and reliable software solutions. Proficiency in systems software or algorithms. Experience programming in a relevant language. Capable of independently identifying, designing, and completing medium to large features. Work authorization in the employment country prior to hire and ongoing authorization throughout employment. Preferred Qualifications: Demonstrated software engineering experience through internships, work experience, competitions, or contributions to open-source projects. Research experience in Machine Learning, NLP, Recommendation Systems, or other relevant fields. Proficiency in programming languages such as Python, R, or MATLAB. A track record of achievements evidenced by grants, publications, and patents, ideally in recognized conferences. Proven ability to solve complex challenges and evaluate multiple solutions. Strong interpersonal skills for effective cross-functional collaboration. Familiarity with architectural patterns of large-scale software applications. Public Compensation: Compensation ranges from $58.65/hour to $181,000/year, inclusive of bonuses, equity, and benefits. Industry:
Internet Equal Opportunity: Meta is an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and do not discriminate based on prohibited characteristics. Meta respects individuals with criminal histories in accordance with applicable laws. We also provide reasonable accommodations for candidates with disabilities during the recruitment process.

United States

Compétences linguistiques

English

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