Senior Software Engineer

You will design, develop, and maintain complex machine learning models and AI powered services that support core product features and decision making systems. You will lead the design and implementation of end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment. You will partner closely with product, data, and engineering teams to translate complex business problems into scalable machine learning solutions. You will own ML components end-to-end, including experimentation, architecture, implementation, deployment, production monitoring, and iteration. You will drive improvements in model performance, reliability, and scalability through rigorous experimentation, validation, and optimization. You will design and oversee the integration of ML models into production systems, ensuring low-latency inference and reliable service operation. You will define monitoring strategies for model performance and data quality, and lead debugging, incident response, and remediation efforts. You will uphold high standards of software engineering in ML codebases through code reviews, testing strategies, and documentation. You will ensure ML systems meet security, privacy, and compliance requirements for sensitive data handling. You will author and maintain technical documentation for model designs, evaluations, and operational considerations. Telecommuting permitted.

Responsibilities

• Design, develop, and maintain complex machine learning models and AI powered services that support core product features and decision making systems
• Lead the design and implementation of end-to-end ML pipelines including data ingestion feature engineering model training evaluation and deployment
• Partner closely with product data and engineering teams to translate complex business problems into scalable machine learning solutions
• Own ML components end to end including experimentation architecture implementation deployment production monitoring and iteration
• Drive improvements in model performance reliability and scalability through rigorous experimentation validation and optimization
• Design and oversee the integration of ML models into production systems ensuring low latency inference and reliable service operation
• Define monitoring strategies for model performance and data quality and lead debugging incident response and remediation efforts
• Uphold high standards of software engineering in ML codebases through code reviews testing strategies and documentation
• Ensure ML systems meet security privacy and compliance requirements for sensitive data handling
• Author and maintain technical documentation for model designs evaluations and operational considerations
• Telecommuting permitted

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or a related field (or foreign equivalent) and 5 years of progressively responsible experience in the job offered or related occupation
• Alternatively a Master’s degree in Computer Science, Computer Engineering, Software Engineering or a related field (or foreign equivalent) and 3 years of experience in the job offered or related occupation is acceptable
• Python, Java, Scala, or GoLang
• Machine learning frameworks
• Data processing and feature engineering frameworks
• Supervised and unsupervised learning techniques
• ML pipeline and deployment tools
• Model monitoring and observability tools
• Testing and artifact versioning 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 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 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