Jobs in Palo Alto, CA

About The Position

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineer or a related field (or foreign equivalent) and 3 years of experience in the job offered or related occupation.
• Python, Java, Scala, or GoLang
• Machine learning frameworks
• Data processing frameworks
• Feature engineering tools
• Supervised and unsupervised learning techniques
• ML pipeline and deployment tools
• Model monitoring tools
• Background checks required

Responsibilities

• Build, test, and release product-facing features with stringent correctness and scalability requirements.
• Design, develop, and maintain machine learning models and AI-powered services that support product features and decision-making systems.
• Implement end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.
• Collaborate with product, data, and engineering teams to translate business problems into machine learning solutions.
• Own ML components throughout their full lifecycle, including experimentation, implementation, deployment, production monitoring, and iteration.
• Improve model performance, reliability, and scalability through experimentation, validation, and optimization.
• Integrate ML models into production systems, ensuring low-latency inference and reliable service operation.
• Monitor model performance and data quality in production, and participate in debugging, incident response, and remediation efforts.
• Apply software engineering best practices to ML codebases, including testing, code reviews, documentation, and version control.
• Ensure ML systems adhere to security, privacy, and compliance requirements when handling sensitive data.
• Document model designs, assumptions, evaluation results, and operational considerations to support maintainability and knowledge sharing.

Benefits

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.