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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. Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence

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

3. Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate

4. Leading a team from a technical perspective to develop ML best practices and influence engineering culture

5. Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it

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

7. Suggest, collect and synthesize requirements and create effective feature roadmap

8. Code deliverables in tandem with the engineering team

Minimum Qualifications:

Minimum Qualifications:

1. 6+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD

2. 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or 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. Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects

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:

$173,000/year to $241,000/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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law