Staff Machine Learning Engineer, Content Quality Signals
about 1 month ago
Remote, United States or San Francisco, CA, USA
Staff+
H1B Sponsor
Base Salary
$189k - $390k/yr
Responsibilities
- Lead modeling strategy for content understanding, including architecture selection and evaluation methodology.
- Design and ship production models that generate content signals used across multiple product surfaces.
- Own the full ML lifecycle, including data strategy, training pipelines, and monitoring.
- Partner with infrastructure teams to ensure scalable and reliable training and serving.
- Collaborate with signal-consuming teams to define signal contracts and success metrics.
- Provide technical leadership through design reviews and mentoring.
Requirements
- M.S/PhD degree in Computer Science, Statistics, or related field.
- Significant industry experience building software and ML pipelines/systems.
- Strong proficiency in Python and at least one ML stack such as PyTorch or TensorFlow.
- Proven experience training and deploying ML models to production.
- Deep hands-on experience in content understanding domains like computer vision and NLP.
- Experience working with large-scale datasets and distributed compute environments.
- Strong applied skills in evaluation and experimentation.
Tech Stack
Apache SparkPythonPyTorchTensorFlow
Categories
AI & MLData Science