Software Engineer, AI/ML

Meta; United States; Remoto; USD 180.000 - 280.000; Tempo pieno

Descrizione del lavoro

Meta is seeking an AI/ML Engineer to design, build, and deploy machine learning systems powering Meta’s products. You will develop and optimize models and pipelines at scale across deep learning, large language models, and recommendation systems.

You will work at the intersection of applied research and production engineering, translating cutting-edge AI into reliable, scalable systems serving billions of users.

Competenze

• Bachelor's degree in CS/CE or equivalent practical experience.
• 6+ years designing, training and deploying ML models in production.
• Experience with PyTorch or TensorFlow and Python for model development.

Mansioni

• Design, build, and deploy machine learning systems powering Meta products.
• Develop and optimize AI models and pipelines at scale across deep learning, LLMs, and recommender systems.
• Translate AI advances into reliable, scalable production systems serving billions of users.

Conoscenze

Python

PyTorch

TensorFlow

Distributed training

A/B testing

Model optimization (quantization, dist

ML serving infrastructure

Communication

Cross-team initiative

Ranking/recommendation systems

LLMs/generative AI

Observability tooling

Formazione

Bachelor's degree in Computer Science, Computer Engineering or equivalent

Strumenti

PyTorch

TensorFlow

Python tooling

Descrizione del lavoro

Meta is seeking an AI/ML Engineer to design, build, and deploy machine learning systems that power some of the world's most widely used products and platforms. In this role, you will develop and optimize AI models and pipelines at scale, applying techniques across deep learning, large language models, recommendation systems, and generative AI to solve high-impact problems across Meta's product ecosystem. You will work at the intersection of applied research and production engineering, translating cutting-edge AI advances into reliable, scalable systems that serve billions of users.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6+ years of experience designing, training, and deploying machine learning or deep learning models in production environments
• 6+ years of experience with ML frameworks such as PyTorch or TensorFlow, and proficiency in Python for model development and data processing
• Experience with large-scale distributed training, model optimization techniques (e.g., quantization, distillation, pruning), and ML serving infrastructure
• Experience designing and running online experiments (A/B testing) to evaluate model impact on product metrics
• Experience communicating technical decisions and trade-offs in writing to both technical and non-technical stakeholders, including design documents and postmortems
• Track record of driving cross-team technical initiatives that improved ML platform capabilities or established new modeling standards across an organization
• Experience with large language models, generative AI systems, or foundation model fine-tuning and alignment techniques
• Experience building recommendation or ranking systems at internet scale, including feature engineering, retrieval, and scoring pipelines
• Experience developing ML observability tooling, including dashboards, alerting, and automated anomaly detection for production model health