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Meta Software Engineer, Machine Learning - Monetization in Bellevue, Washington

Summary:

From making valuable connections between people and businesses to building premium services that deliver high-value experiences, the monetization organization at Meta empowers people and businesses to succeed in the global economy. As Meta focuses on building the next evolution of social experiences, the monetization team plays a crucial role in shaping the communication pathways and financial tools that all sized businesses, especially small to medium ones, need to thrive in the new digital economic environment. And we achieve that from end-to-end product and technology innovation.As a Machine Learning Engineer on the monetization team at Meta, you can help build cutting-edge full-stack technologies that will transform the way people and businesses connect and communicate. You’ll help develop industry-leading solutions that power next-generation, large-scale platforms and AI services to help connect billions of people around the world.

Required Skills:

Software Engineer, Machine Learning - Monetization Responsibilities:

  1. Leading projects or small teams of people to help them unblock, advocating for ML excellence

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

  3. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models

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

  5. Code deliverables in tandem with the engineering team

Minimum Qualifications:

Minimum Qualifications:

  1. 5+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD

  2. 1+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field

  3. Experience with developing machine learning models at scale from inception to business impact

  4. Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts

  5. Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships

  6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Preferred Qualifications:

Preferred Qualifications:

  1. Masters degree or PhD in Computer Science or a related technical field

  2. Exposure to architectural patterns of large scale software applications

Public Compensation:

$146,994/year 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 accommodations-ext@fb.com.

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