Senior Machine Learning Engineer, AI Personalization

Required

• 10+ years building and operating quality software
• Domain expertise in recommender systems, ranking systems, or similar with 5+ years of experience
• Led the development of complex models trained on large datasets powering customer facing features
• Strong software engineering skills
• Strong communication skills and customer empathy
• Experience with PyTorch, PySpark, Databricks and AWS is a plus
• Technologies We Use and Teach
• We work with a modern, production-grade stack that includes industry-standard tools such as PyTorch, PySpark, Prefect, and Databricks. Alongside these, a core part of the role is evaluating and prototyping with a rapidly evolving set of internal platforms and tooling.
• Block is investing heavily in AI, and our modeling workflows are evolving accordingly. This creates a rare opportunity to work with emerging systems as they take shape, both leveraging them in practice and influencing how they are designed. The team is at the forefront of rethinking how models are built, validated, and deployed in an AI-first environment, with the goal of setting new industry standards.
• We re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we re doing to build a workplace that is fair and square? Check out our I+D page.
• While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.
• Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.