Senior Machine Learning Engineer, ML Platform
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
The Role
Block uses Machine Learning and AI across many of its products and domains. For ML practitioners Block-wide, the ML Inference & Training team provides critical infrastructure, platforms, and libraries required to develop, productionize, and observe ML models. We are an established team of 13 engineers and 1 manager across a few countries and time zones, sitting within the ML & Data Platform organization. Our projects cover extending mature platforms (online ML hosting / inference, internal python SDKs) as well as greenfield initiatives such as LLM hosting / monitoring, rearchitecting our training stack, or building out new tooling for large‑scale offline evaluations. We are looking for an enthusiastic and experienced Machine Learning Engineer to join our team and help us build out the best ML infrastructure possible. In this role, you'll work closely with applied ML teams across Block to understand their challenges – scoping and exploring opportunities to improve their ability to deliver novel ML solutions at scale.
You Will
You Have
Technologies We Use and Teach
Our Commitment to Inclusion
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.
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. If a location of interest is not listed, please speak with a recruiter for additional information.
Use of AI in Our Hiring Process : We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations and we handle all personal data in accordance with state and local privacy laws. Contact us at privacy@block.xyz with hiring practice or data usage questions.
Every benefit we offer is designed with one goal : empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.
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Senior Machine Learning Engineer • San Francisco, CA, United States