Principal Machine Learning Engineer

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves leading the development of core AI/ML models and algorithms that drive key product use cases. Lead the development of core AI/ML models and algorithms that drive key product use cases Actively participate in cross-functional discussions and strategic decisions related to AI research directions and product roadmaps Collaborate with fellow technical leaders to ensure the successful and timely delivery of AI/ML models and service integration Stay up to date with the latest research and developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap Develop production code and advocate for the best coding and engineering practices Participate and influence full lifecycle development from ideation and data exploration to deployment, monitor, and optimize AI/ML models in production Participate in project planning, review, and retrospective sessions Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities Demonstrated experience in leading impactful AI product development at scale Qualifications 10 or more years of ML and software experience Excellent problem-solving skills and ability to dive into evaluation metrics, model architecture, code, test plans, project plans, deployments and operations Expertise with ML pipelines, algorithms, statistical methods, and analytics to solve real-world engineering problems Proficient in SQL, Python, Java, PySpark, and experienced with Snowflake, AWS SageMaker, DBT, and Airflow Experience building and maintaining fault-tolerant, high-performing data pipelines and ensuring seamless AI/ML algorithm execution in production Strong communicator who simplifies complex problems and develops impactful, creative solutions Ability to explain deep technical decisions and implementation to leadership and less technical partners Company Description