Software Engineer, Systems ML - SW/HW Co-design

Facebook; New York (NY); On-site; USD 142,000 - 208,000; Full time

Job summary

An innovative tech company is on the lookout for an AI Software Engineer to join their dynamic Research & Development team. In this exciting role, you will leverage your expertise in AI infrastructure and hardware acceleration to tackle some of the most pressing challenges in the industry. You will collaborate with cross-functional teams, set impactful project goals, and mentor fellow engineers. This is a unique opportunity to contribute to cutting-edge solutions that enhance user experiences on a global scale. If you are passionate about AI and eager to make a significant impact, this role is perfect for you.

Benefits

Bonus

Equity

Comprehensive Benefits

Qualifications

• Bachelor's degree in a relevant field or equivalent experience required.
• 7+ years experience in AI framework development preferred.

Responsibilities

• Build and optimize intelligent ML systems to enhance products.
• Drive large efforts across teams with data-driven analysis.

Skills

Machine Learning

Deep Learning

C/C++ Programming

Python Programming

AI Infrastructure

Hardware Acceleration

Performance Optimization

Distributed Systems

Recommendation Models

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in Computer Science

Tools

PyTorch

Job description

Summary:

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

Required Skills:

Software Engineer, Systems ML - SW/HW Co-design Responsibilities:

1. Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences
2. Goal setting related to project impact, AI system design, and infrastructure/developer efficiency
3. Directly or influencing partners to deliver impact through deep, thorough data-driven analysis
4. Drive large efforts across multiple teams
5. Define use cases, and develop methodology & benchmarks to evaluate different approaches
6. Apply in depth knowledge of how the ML infra interacts with the other systems around it
7. Mentor other engineers / research scientists & improve the quality of engineering work in the broader team

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
2. Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design
3. Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Preferred Qualifications:

1. A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.
2. Experience with distributed systems or on-device algorithm development
3. Experience with recommendation and ranking models
4. Technical leadership experience

Public Compensation:

$70.67/hour to $208,000/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 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].