Machine Learning Engineer

Meta Meta · Big Tech · Menlo Park, CA

Machine Learning Engineer at Meta focused on designing, implementing, and productionizing ML models for ad ranking, targeting, and conversion optimization. This role involves leading experiments, building scalable ML pipelines, and collaborating with cross-functional teams. Requires a Master's degree and 3 years of experience in ML, deep learning, distributed computing, and Python/C++.

What you'd actually do

  1. Design, implement, and productionize machine learning models for ad ranking, targeting, and conversion optimization, leveraging large-scale datasets and state-of-the-art algorithms.
  2. Lead and analyze A/B tests and offline experiments to evaluate model performance, iterate on features, and drive data-driven decision-making.
  3. Build and maintain robust, scalable ML pipelines and infrastructure, ensuring high reliability and efficiency in model training, evaluation, and deployment.
  4. Work closely with product managers, data scientists, software engineers, and other stakeholders to define requirements, share insights, and deliver impactful solutions.
  5. Mentor junior engineers, contribute to code reviews, and help set standards for software quality, testing, and MLOps practices.

Skills

Required

  • Machine learning
  • deep learning
  • statistical modeling
  • Large-scale data processing
  • distributed computing
  • PyTorch
  • TensorFlow
  • Spark
  • Python
  • C++
  • Experimentation platforms
  • A/B testing
  • data analysis
  • Problem-solving
  • communication
  • collaboration

Other signals

  • productionize machine learning models
  • large-scale datasets
  • state-of-the-art algorithms
  • lead and analyze A/B tests
  • scalable ML pipelines and infrastructure
  • model training, evaluation, and deployment