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Added 2 mins ago
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Software Engineer, Machine Learning (Technical Leadership) - Ads Products

Menlo Park, CA, United States

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Job details

Posting language: English
Posted: Nov 8, 2026

Original job description

Summary:

Meta's Ads organization builds the systems that help businesses of every size reach the people most likely to care about what they offer. At our core, we're builders who care about shipping real value. We own the advertiser-facing side of that work, end to end: the campaign and optimization products that drive advertiser results; the business experiences where advertisers plan, create, and manage their work, from a first boosted post to a global agency's workflow; the signals, attribution, and measurement that prove what their advertising delivered; and the payments and financial systems the money moves through, along with the integrity work that keeps them trusted. AI is changing all of it - what we build for advertisers and how we build it - and ours is the org where advertiser value is won or lost.As a technical leader in Ads Products, you will shape the long-term engineering direction of ML-powered advertiser products. You will connect campaign optimization and advertiser-experience opportunities with the models, data, and product systems needed to deliver them, guiding cross-team engineering efforts from technical strategy through measurable advertiser impact.

Required Skills:

Software Engineer, Machine Learning (Technical Leadership) - Ads Products Responsibilities:

Define a multi-year technical roadmap for ML-powered campaign optimization or advertiser experiences, connecting near-term product work to long-term advertiser value.
Guide model and software architecture across the data, services, and application integrations needed for dependable ML products.
Drive cross-functional engineering efforts with product, data science, and engineering partners to move capabilities from evaluation to production impact.
Use data and experimentation to evaluate model and product decisions and communicate technical trade-offs to engineering and executive stakeholders.
Mentor and influence engineers and technical leaders across teams, improving model evaluation, engineering quality, and reliable product delivery.

Minimum Qualifications:

Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
Experience driving large cross-functional/industry-wide engineering efforts
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Experience communicating and working across functions to drive solutions
Experience mentoring/influencing executive stakeholders across organizations

Preferred Qualifications:

Publications, patents, or open-source contributions that shaped the recommendations or ranking field
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Public Compensation:

$219,000/year to $301,000/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@meta.com.

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Skills

Machine learning
Leadership
Workflow
ML
Coaching
Hazard assessment

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