block.xyz
Senior Machine Learning Engineer, Applied AI Platform
block.xyz, California, Missouri, United States, 65018
Staff Machine Learning Engineer, Applied AI Platform
RemoteBay Area, CA, USThe RoleAll of Block's product services are organized into business units with their own product and engineering teams. Underneath, there's a connected platform team that supports the company. We are that platform. Within the platform, our team’s focus is on using AI to accelerate productivity across the company, automating routine tasks like knowledge retrieval and code migrations. Our team works cross-functionally across Block’s business units to deliver the most impactful tools to developers, and oftentimes working closely with teams to understand specific needs, and then generalizing those across Block.We're looking for an enthusiastic and experienced Machine Learning Engineer that will help us leverage AI to build impactful tools for across Block, with a focus on engineering velocity. You'll bring together content from across Blocks business units and strategically build a foundational platform layer that will power AI applications. This unique opportunity will require you to build and maintain relationships with teams throughout Block and external vendors to collaborate on delivering highly visible and leveraged tools, as well as keep up with evolving AI technology. You’ll provide guidance to teams on what is possible with AI and help drive their AI product direction, in addition to collaboratively building those applications. This is an exciting opportunity to transform the developer experience at Block and become a company expert in AI!You WillDevelop a scalable AI platform to host internal and external facing use casesImprove internal productivity and engineering velocity by designing novel AI solutions to automate complex processesDefine the future of AI at Block as a part of a newly formed company-wide initiativeCollaborate across diverse teams to develop AI solutions by understanding and generalizing the problems of cross-functional stakeholdersLead AI innovation by building and open sourcing advanced frameworks and tools to enhance internal workflows and set industry standardsDrive alignment with Block’s AI strategy by acting as a company AI expert and educating other teams about how to apply cutting-edge AI to their domainsYou Have12+ years of experience in training and deploying ML models, developing ML software, and shipping customer-facing ML products.Deep understanding of modern ML techniques (e.g. Large Language Models) and the ML lifecycle from data gathering, training, model evaluation, MLOps, and productionizing models.A desire to understand our clients’ needs in order to design tools and systems that solve our customer's problems. As a platform team, our main customers are internal developers and products.Passion for improving your productivity as a developer and intuiting the ideal developer experience.Ability to produce production-quality code and services incorporating testing, evaluation, monitoring, and exquisite documentation, as well as the ability to quickly adapt to a new domain, hack MVP’s, and iterate to improve product.Experience using any of the major cloud vendors for high scale production use casesStrong communication skills (verbal and written) with technical and non-technical stakeholders.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 also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.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.To find a location’s zone designation, please refer to this resource.
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RemoteBay Area, CA, USThe RoleAll of Block's product services are organized into business units with their own product and engineering teams. Underneath, there's a connected platform team that supports the company. We are that platform. Within the platform, our team’s focus is on using AI to accelerate productivity across the company, automating routine tasks like knowledge retrieval and code migrations. Our team works cross-functionally across Block’s business units to deliver the most impactful tools to developers, and oftentimes working closely with teams to understand specific needs, and then generalizing those across Block.We're looking for an enthusiastic and experienced Machine Learning Engineer that will help us leverage AI to build impactful tools for across Block, with a focus on engineering velocity. You'll bring together content from across Blocks business units and strategically build a foundational platform layer that will power AI applications. This unique opportunity will require you to build and maintain relationships with teams throughout Block and external vendors to collaborate on delivering highly visible and leveraged tools, as well as keep up with evolving AI technology. You’ll provide guidance to teams on what is possible with AI and help drive their AI product direction, in addition to collaboratively building those applications. This is an exciting opportunity to transform the developer experience at Block and become a company expert in AI!You WillDevelop a scalable AI platform to host internal and external facing use casesImprove internal productivity and engineering velocity by designing novel AI solutions to automate complex processesDefine the future of AI at Block as a part of a newly formed company-wide initiativeCollaborate across diverse teams to develop AI solutions by understanding and generalizing the problems of cross-functional stakeholdersLead AI innovation by building and open sourcing advanced frameworks and tools to enhance internal workflows and set industry standardsDrive alignment with Block’s AI strategy by acting as a company AI expert and educating other teams about how to apply cutting-edge AI to their domainsYou Have12+ years of experience in training and deploying ML models, developing ML software, and shipping customer-facing ML products.Deep understanding of modern ML techniques (e.g. Large Language Models) and the ML lifecycle from data gathering, training, model evaluation, MLOps, and productionizing models.A desire to understand our clients’ needs in order to design tools and systems that solve our customer's problems. As a platform team, our main customers are internal developers and products.Passion for improving your productivity as a developer and intuiting the ideal developer experience.Ability to produce production-quality code and services incorporating testing, evaluation, monitoring, and exquisite documentation, as well as the ability to quickly adapt to a new domain, hack MVP’s, and iterate to improve product.Experience using any of the major cloud vendors for high scale production use casesStrong communication skills (verbal and written) with technical and non-technical stakeholders.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 also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.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.To find a location’s zone designation, please refer to this resource.
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