Machine Learning Engineer

Summary:

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.

Required Skills:

Machine Learning Engineer Responsibilities:

1. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

2. Develop highly scalable classifiers, ranking models, regression systems, or tools to support recommendation and personalization use cases through leveraging machine learning, data regression, and rules based models.

3. Suggest, collect and synthesize requirements and create effective feature roadmaps.

4. Collaborate closely with the engineering team to deliver high-quality, production-ready code.

5. Promote ML best practices by monitoring and analyzing model performance via experiments and offline evaluations, and contribute ideas for continuous improvements.

Minimum Qualifications:

Minimum Qualifications:

6. Bachelor's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field

7. Experience must include completion of one coursework, research project, or internship involving the following:

8. Developing and debugging in C, C++, and Java

9. Scripting languages such as Python,Perl, or shell scripts

10. SQL for data analysis and model evaluation

11. Relational databases, data manipulation, and analysis using tools such as NumPy, and Pandas

12. Developing and training models using PyTorch or equivalent modern deep learning frameworks

13. Applying deep learning models in focus areas such as recommendation systems,NLP, computer vision, or multi modal learning

14. Demonstrated ability to build and test models, conduct experiments, and interpret results in a collaborative, cross-functional environment involving engineering, research, and data teams

15. Strong computer science fundamentals, with knowledge of distributed systems,computer architecture, network programming, operating systems, and low-level performance optimization

16. Strong mathematical foundation in probability theory, linear algebra, multivariable calculus, stochastic processes, and optimization methods used in machine learning

Public Compensation:

$178,360/year to $200,200/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 accommodations-ext@fb.com.