Senior Machine Learning Engineer

Overview

Senior Machine Learning Engineer responsible for building cloud-side backend systems that productionize Safety AI models into reliable, low-latency, customer-facing features.

What you'll do

• Architect and maintain low-latency ML APIs for cloud applications.
• Build scalable pipelines for model iteration, backtesting, and evaluation.
• Productionize and optimize model artifacts for platform-specific workloads.
• Process high-volume camera and sensor telematics data.
• Monitor model drift, precision, recall, latency, and rollout health.
• Partner with firmware and platform teams on edge-to-cloud execution.
• Translate safety requirements into scalable technical architectures.

What you'll need

• 6+ years of experience as a Machine Learning Engineer or similar.
• Experience shipping machine learning models in production.
• Proficiency in at least one of C++, Golang, Java, Python, or Scala.
• Proficiency with ML tools such as Ray, MLflow, Grafana, PyTorch, or Spark.
• Experience deploying models with customer feedback loops.
• Backend or full-stack development experience.
• BS or MS in Computer Science or a related quantitative field.

Nice to have

• Ph.D. in Computer Science or a quantitative discipline.
• Experience with Docker, Kubernetes, CI/CD, and infrastructure as code.
• Experience managing ML applications in AWS, GCP, or Azure.
• Experience in safety-critical or high-scale domains.
• Expertise optimizing distributed GPU model training.

Details

• Remote role open to candidates residing in the United States or Canada.
• Full-time position.
• Annual base salary: USD 170,170–286,000.