Job Details

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 timezones, sitting within the ML & Data Platform organization. Our projects cover extending mature platforms (e.g 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'll work on high-visibility, meaningful projects that can have a significant impact on Block's continued success with ML, influencing our roadmap and working across the ML Lifecycle. We welcome individuals who are passionate about building for the real world, embracing pragmatic approaches, and seeing challenges from fresh, nontraditional viewpoints.

You Will

• Develop scalable ML/AI systems and platforms
• Be on the cutting edge of advancements in ML/AI across the industry
• Collaborate across diverse teams to deliver impactful platform solutions by understanding and generalizing the problems of cross-functional stakeholders
• Support critical ML systems used for fraud detection, language models, recommendation systems and underwriting
• Influence our roadmap and ensure we're working on the highest impact problems within the ML infrastructure domain

You Have

• 8+ years of experience in software development and/or machine learning experience with a focus on internal platforms or 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)
• 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
• Ability to produce production-quality code and services incorporating testing, evaluation, monitoring 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 cases
• Strong communication skills (verbal and written) with technical and non-technical stakeholders

Technologies We Use and Teach

We value general and versatile engineering skill over specific experience with our current stack, but some examples:

• Golang, Python, TypeScript, React
• AWS (Sagemaker, EC2, EKS), Databricks
• NVIDIA Triton, vLLM, ONNX

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.

To find a location's zone designation, please refer to thisresource . If a location of interest is not listed, please speak with a recruiter for additional information.

Zone A:

$217,300 — $325,900 USD

Zone D:

$194,500 — $291,700 USD

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.

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.

Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people.Squaremakes commerce and financial services accessible to sellers.Cash Appis the easy way to spend, send, and store money.Afterpayis transforming the way customers manage their spending over time.TIDALis a music platform that empowers artists to thrive as entrepreneurs.Bitkeyis a simple self-custody wallet built for bitcoin.Protois a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.