Accounting, Application Programming Interface (API), Architectural Services, Business Support, Continuous Deployment/Delivery, Continuous Integration, Data Sets, Database Programming, Django, GCP (Good Clinical Practices), Machine Learning, Needs Assessment, Python Programming/Scripting Language, Software Engineering, User Interface/Experience (UI/UX), Web Application Framework
LOCATION
San Francisco, California
POSTED
13 days ago
What we are looking for?
Seeking a Member of Technical Staff - Backend with 5+ years of experience. We are looking for an exceptional builder who seeks outsized responsibility and impact and has a demonstrated history of thoughtful, pragmatic decision-making. This individual will be crucial in building the core systems that deploy our machine learning capabilities and driving architectural choices for the company's core services.
What will you be doing?
Build core systems for deploying machine learning capabilities in training and production
Drive technology and architectural choices for the company's core services to enable rapid building and iteration on user experiences
Extracting data from tax documents into structured data, and increasing the quality and scalability of output
Design and build the integration of ML inference, monitoring systems, LLM interactions, application layers, and tax-related business logic
Develop database layers supporting business logic and applications, and integrate data with external vendor APIs
Collaborate on effective CI/CD systems to accelerate development
Engage directly with accountants to understand their needs
Tech stack
Python
Seniority
5+ years of experience in backend software engineering, with a focus on Python in well-established engineering teams
Work experience
Experience working with large and varied datasets, likely in Big Tech e.g., FAANG
Ability to work with customers and product, understand their needs and respond accordingly
Proficiency in Python
Experience with Django or similar web frameworks, GCP and Kubernetes and workflow management platforms