Senior Machine Learning Engineer, ML Platform

Key Skills

Apache Kafka, AWS, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, NoSQL, Python Programming, PyTorch, SPARK Programming, SQL

Job Description

Machine Learning at Cash App has swiftly grown to become a central function of the business, with over 120 people working on solving some of the most cutting edge ML questions in FinTech. Our team is continuing to grow and we’re looking for Engineers with experience developing ML pipelines and infrastructure to join us and build out the next generation platform to power use cases across the company. Across the team, we employ methods ranging from simple heuristics to Deep Learning technology to improve our performance and services. We’re also excited to explore new directions with the team to continue pushing the boundaries of what’s possible.

Our ML Engineers are part of the ML Platform team and work in close collaboration with Data Scientists, ML Modelers and Software Engineers from across Cash App. Check out our Machine Learning / AI blog here!

Problems you’d work on:

• Design elegant ML pipelines and services as well as prototype new approaches and productionize solutions at scale for our 36+ million active users
• Create a world class platform for training, hosting and maintaining ML models 
• Apply ML and engineering best practices to shape how Cash App develops, tests and maintains ML-platform solutions
• Help design and execute our long-term Machine Learning strategy across Cash App

Qualifications

You have: 

• A degree/background in Computer Science, Computer Engineering, or a related technical field. A graduate degree is a nice to have
• 3+ years of experience in software development and demonstrated technical initiative and leadership on previous projects
• Curiosity and a passion for Cash App's mission of economic empowerment 
• Experience helping your teammates grow through mentorship and providing constructive feedback 
• A desire to be hands-on and help invent the future of AI
• The ability to work autonomously in the rapidly evolving world of ML
• Experience or knowledge in ML is helpful but not a prerequisite: if you are a solid software engineer, then we are happy to train you up in the mysterious ways of ML

Stack: 

We value general engineering skill and versatility over existing domain knowledge, but here’s a sample of what we currently use:

• Python, Java and Kotlin 
• Tensorflow and PyTorch 
• AWS, GCP, and Kubernetes
• MySQL, DynamoDB, Kafka, Apache Beam and Google DataFlow

Additional Information

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.

Zone A: USD $167,300 - USD $204,500

Zone B: USD $158,900 - USD $194,300

Zone C: USD $150,600 - USD $184,000

Zone D: USD $142,200 - USD $173,800

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. 

Full-time employee benefits include the following:

• Healthcare coverage (Medical, Vision and Dental insurance)
• Health Savings Account and Flexible Spending Account
• Retirement Plans including company match 
• Employee Stock Purchase Program
• Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance 
• Paid parental and caregiving leave
• Paid time off (including 12 paid holidays)
• Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) 
• Learning and Development resources
• Paid Life insurance, AD&D, and disability benefits 
• Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources 

These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.