Senior Machine Learning Engineer, Platform

🔥 14 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $194.5k - $343.1k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 1 day.
• Jobs at this company usually fill in 21 days.

Apply Now

Check your resume score

Customize resume + cover letter

Find Similar Remote Jobs

☆ Save☑️ Mark as applied❌ Hide

Report problem

Block

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1990

💼 Consulting

📣 Marketing

💳 Fintech

Consulting • Marketing • Fintech

Block is a technology company that aims to increase access to the global economy through its various brands. Square provides commerce and financial services designed for sellers, while Cash App offers an easy platform for spending, sending, and storing money. Afterpay allows customers to manage their spending over time. Additionally, TIDAL empowers artists by providing them with tools for entrepreneurship, and Bitkey and Proto focus on bitcoin and related services. Together, these services contribute to building an open financial system accessible to everyone.

📋 Description

• 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 while balancing response time, throughput, data consistency, availability, and cost • Work with applied machine learning teams and internal customers to identify common needs and turn them into reusable platform capabilities • Help set the ML platform 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, fix underlying causes, and reduce manual support work • Build self-service interfaces, libraries, tools, and documentation for model development, production deployment, and performance analysis • Mentor engineers, guide design reviews, and share practices for maintaining reliable systems

🎯 Requirements

• 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, including feature stores, rules engines, model hosting and inference, or training infrastructure • Deep understanding of architectures for ML-backed solutions and the ML lifecycle, including data gathering, training, model evaluation, MLOps, and productionizing classical ML and deep learning/LLMs • Experience designing and operating large-scale distributed systems, including failure modes, data correctness, performance, and capacity management • Experience operating mission-critical services, including oncall, incident response, and reliability improvements • Experience leading complex technical work from an unclear starting point through delivery • Experience working with platform users, explaining technical choices and trade-offs, and mentoring engineers • Experience using any major cloud vendor for high-scale production use cases • Strong verbal and written communication skills with technical and non-technical stakeholders • Kotlin / Java, Golang, Python, Typescript, React • gRPC and Protocol Buffers • AWS, including Sagemaker, EC2, EKS, and Dynamo • Databricks (Spark) • NVidia Triton, vLLM, and ONNX

🏖️ Benefits

• Remote work • Medical insurance • Flexible time off • Retirement savings plans • Modern family planning • Equal opportunity and inclusive interview experience • Reasonable accommodations for disabled applicants

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume