Job Title: Machine Learning Engineer

Location: Bay Area

Salary: 190,000 + Equity + Benefits

Key Responsibilities

• Deploy, monitor, and maintain machine learning models in production to guarantee high availability and low latency.
• Collaborate with cross-functional teams, including data scientists and engineers, to optimize model performance and resource usage.
• Design and implement systems for efficient real-time inference and batch processing of data.
• Manage the full lifecycle of machine learning models, from deployment to updates and scaling, ensuring minimal disruptions.
• Build tools and frameworks to automate model training, validation, testing, and deployment workflows.
• Stay up-to-date with best practices and emerging technologies for model deployment and integrate them into the infrastructure.
• Partner with product teams to incorporate AI capabilities into end-user applications.

Primary Responsibilities

• Deploy scalable machine learning systems across diverse environments and platforms.
• Optimize ML pipelines to enhance performance and processing speed.
• Monitor and maintain the performance of deployed models, fine-tuning inference configurations as needed.
• Ensure all deployment workflows comply with data privacy and security standards.
• Offer technical guidance to improve architecture and product features.

Requirements

• Proven experience deploying and managing machine learning models in production settings.
• Expertise with ML serving frameworks (e.g., TensorFlow Serving, TorchServe) and cloud infrastructure (AWS, GCP, Azure).
• Advanced proficiency in Python and knowledge of software development principles.
• Hands-on experience with containerization and orchestration tools like Docker and Kubernetes.