Senior Machine Learning Engineer, Platform

The Role

Block's Machine Learning (ML) Platform team builds shared infrastructure that helps teams develop, evaluate, deploy, and monitor models and automated decision systems for uses such as fraud detection, recommendations, and underwriting. You will work closely with applied machine learning teams across Block to shape our roadmap, improve established services, and build new platform capabilities. You will have opportunities to deepen your expertise across the ML lifecycle, influence system designs, and help other engineers grow through mentoring and design reviews.

You Will

• Design, build, and operate shared ML infrastructure, including feature stores, rules engines, model hosting and inference, training infrastructure, and offline model evaluation.
• Lead the design and delivery of large-scale distributed systems, balancing response time, throughput, data consistency, availability, and cost.
• Work with applied machine learning teams and internal customers to understand their challenges, identify common needs, and turn them into reusable platform capabilities; use that feedback to help set our roadmap and priorities.
• Build reliable services through automated testing, monitoring, capacity planning and safe deployments.
• Participate in the oncall rotation for mission-critical systems, lead incident response and reviews, and fix underlying causes to prevent repeat incidents and reduce manual support work.
• Build self-service interfaces, libraries, tools, and documentation that help teams develop models, move them into production, and understand how they perform.
• Mentor engineers, guide design reviews, and share practices that help the team build and maintain reliable systems.

You Have

• 8+ years of experience in software development and/or machine learning experience with a focus on internal platforms or infrastructure.
• Hands-on experience building and operating ML infrastructure, with depth in one or more areas such as feature stores, rules engines, model hosting and inference, or training infrastructure.
• Deep understanding of architectures for ML-backed solutions and the ML lifecycle - from data gathering, training, model evaluation, MLOps, and productionizing models (both classical ML and deep learning/LLMs).
• Experience designing and operating large-scale distributed systems, including understanding failure modes, maintaining correct data, and managing performance and capacity.
• Experience operating mission-critical services, including oncall, incident response, and improvements that made systems more reliable.
• Experience leading complex technical work from an unclear starting point through delivery: defining the problem, testing ideas, choosing a design, planning work with other teams, and checking the results.
• Experience working with teams that use your platform, explaining technical choices and trade-offs, and mentoring engineers.
• Experience using any of the major cloud vendors for high scale production use cases.
• Strong communication skills (verbal and written) with technical and non-technical stakeholders.
• Ruthless pragmatism when solving new and unconventional problems

Technologies We Use and Teach

• Kotlin / Java, Golang, Python, Typescript, React
• gRPC, Protocol Buffers
• AWS (Sagemaker, EC2, EKS, Dynamo), Databricks (Spark)
• NVidia Triton, vLLM, ONNX

Additional information

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.

Pay and benefits

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.

• Zone A: $228,700 - $343,100 USD
• Zone B: $217,300 - $325,900 USD
• Zone C: $205,900 - $308,900 USD
• Zone D: $194,500 - $291,700 USD
• Application Guidelines

Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.

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, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

Contact us here 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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