Software Engineer

YOU will build, test, and release product facing features with stringent correctness and scalability requirements. YOU will design, develop, and maintain machine learning models and AI powered services that support product features and decision making. YOU will implement end to end ML pipelines including data ingestion feature engineering model training evaluation and deployment. YOU will collaborate with product, data, and engineering teams to translate business problems into machine learning solutions. YOU will own ML components throughout their full lifecycle including experimentation, implementation, deployment, production monitoring, and iteration. YOU will improve model performance, reliability, and scalability through experimentation, validation, and optimization. YOU will integrate ML models into production systems, ensuring low latency inference and reliable service operation. YOU will monitor model performance and data quality in production, and participate in debugging, incident response, and remediation efforts. YOU will apply software engineering best practices to ML codebases including testing, code reviews, documentation, and version control. YOU will ensure ML systems adhere to security, privacy, and compliance requirements when handling sensitive data. YOU will document model designs, assumptions, evaluation results, and operational considerations to support maintainability and knowledge sharing. Telecommuting permitted.

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.
• 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.
• Telecommuting permitted.

Requirements

• Master’s degree in Computer Science Computer Engineering Software Engineering or a related field (or foreign equivalent) and 1 year 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

Benefits

• Challenging high impact work to grow your career
• Performance driven compensation with multipliers for outsized impact bonus programs equity ownership and 401k matching
• Best in class benefits to fuel your work including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet a flexible benefits spending account for wellness learning and more
• Employer paid life and 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