Software Engineer, Machine Learning Systems and Hardware Co-design
META
- United States
- United States
About
Set clear goals focused on project impact, AI system architecture, and infrastructure efficiency.
Collaborate with partners to achieve significant impact through comprehensive data-driven analysis.
Lead large-scale initiatives across various teams to foster integration and innovation.
Define use cases and establish methodologies and benchmarks to assess different approaches.
Leverage in-depth knowledge of ML infrastructure interactions with surrounding systems.
Mentor fellow engineers and research scientists to elevate the overall quality of engineering within the team.
Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
Experience in one or more machine learning/deep learning areas, including hardware accelerators, GPU architecture, ML compilers, AI infrastructure, high-performance computing, and performance optimization.
Proficient in developing AI system infrastructure or algorithms using C/C++ or Python.
Preferred Qualifications: Familiarity with distributed systems or on-device algorithm development.
Experience with recommendation and ranking models.
Proven technical leadership experience.
Bachelor's degree with 7+ years of relevant experience, or a Master's degree with 4+ years of experience, or a PhD with 3+ years of experience in AI framework development or hardware acceleration of deep learning models.
Compensation: $74.04/hour to $217,000/year + bonus + equity + benefits Industry:
Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, veteran status, disability, or other legally protected characteristics. We also consider qualified applicants with criminal histories, as permitted by law. Meta participates in the E-Verify program where required. Meta is committed to providing reasonable accommodations for candidates with disabilities during the recruitment process. Please inform us of any necessary assistance or accommodations you might need.
Languages
- English
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