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Machine Learning Engineer
Meta
H1B ✓On-sitesenior levelPosted April 16, 2026
About the Role
Design, implement, and productionize machine learning models for ad ranking and conversion optimization while maintaining scalable ML infrastructure. Lead A/B testing, collaborate with cross-functional teams, and mentor junior engineers to ensure high-quality software standards.
Requirements
Requires a Master's degree in a technical field and at least 3 years of experience in machine learning, deep learning, and statistical modeling. Candidates must be proficient in Python, C++, and large-scale data processing tools like PyTorch, TensorFlow, and Spark.
Full Job Description
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.
$235,370/year to $250,250/year + bonus + equity + benefits
Responsibilities
- Model Development & Deployment: Design, implement, and productionize machine learning models for ad ranking, targeting, and conversion optimization, leveraging large-scale datasets and state-of-the-art algorithms.
- Experimentation & Analysis: Lead and analyze A/B tests and offline experiments to evaluate model performance, iterate on features, and drive data-driven decision-making.
- System & Pipeline Engineering: Build and maintain robust, scalable ML pipelines and infrastructure, ensuring high reliability and efficiency in model training, evaluation, and deployment.
- Collaboration & Cross-Functional Work: Work closely with product managers, data scientists, software engineers, and other stakeholders to define requirements, share insights, and deliver impactful solutions.
- Documentation & Knowledge Sharing: Author technical documentation, runbooks, and best practices to support team operations and facilitate onboarding and knowledge transfer.
- Mentorship & Leadership: Mentor junior engineers, contribute to code reviews, and help set standards for software quality, testing, and MLOps practices.
Minimum Qualifications
- Require Master’s degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 3 years of
- experience in the job offered or in a computer-related occupation
- Requires 3 years of experience in the following:
- Machine learning, deep learning, and statistical modeling
- Large-scale data processing and distributed computing (e.g., PyTorch, TensorFlow, Spark)
- Python and C++
- Experimentation platforms, A/B testing, and data analysis
- Problem-solving, communication, and collaboration skills
$235,370/year to $250,250/year + bonus + equity + benefits