Quantix Search
Member of Technial Staff - Applied AI/ML (Sunnyvale)
Quantix Search, Sunnyvale, California, United States, 94087
Member of Technical Staff
Applied AI / ML Engineer San Francisco, Union Square (Onsite)
Up to $325K + stock options
Were partnering with an AI startup in San Francisco that operates in the tax and accounting automation space to hire a Member of Technical Staff focused on Applied AI / ML. The company builds GenAI-driven systems that turn complex, unstructured documents into accurate, structured data at scale. They were recently acquired by a major global tech company, and this role has full end to end ownership of production ML systems.
What youll do: Building the ML and backend infrastructure that powers their core product Improving datasets, inference systems, and domain logic as they scale to millions of documents Working directly with accountants and end users to understand practical requirements Owning ML components end-to-end and integrating them into a cohesive product Translating expert-level tax and accounting knowledge into scalable software systems
What we're looking for: 4+ years of ML engineering experience, focused on building production systems that deliver real end-user value Strong Python skills, plus experience with LLMs and LLM APIs Ability to work with large datasets and build accurate, scalable data and ML pipelines Someone who can work directly with customers and product to understand requirements and turn them into working solutions High trajectory shown through promotions or increasing ownership
If this sounds like a strong fit and you'd like to find out more about this role please apply and we'll be in touch.
Applied AI / ML Engineer San Francisco, Union Square (Onsite)
Up to $325K + stock options
Were partnering with an AI startup in San Francisco that operates in the tax and accounting automation space to hire a Member of Technical Staff focused on Applied AI / ML. The company builds GenAI-driven systems that turn complex, unstructured documents into accurate, structured data at scale. They were recently acquired by a major global tech company, and this role has full end to end ownership of production ML systems.
What youll do: Building the ML and backend infrastructure that powers their core product Improving datasets, inference systems, and domain logic as they scale to millions of documents Working directly with accountants and end users to understand practical requirements Owning ML components end-to-end and integrating them into a cohesive product Translating expert-level tax and accounting knowledge into scalable software systems
What we're looking for: 4+ years of ML engineering experience, focused on building production systems that deliver real end-user value Strong Python skills, plus experience with LLMs and LLM APIs Ability to work with large datasets and build accurate, scalable data and ML pipelines Someone who can work directly with customers and product to understand requirements and turn them into working solutions High trajectory shown through promotions or increasing ownership
If this sounds like a strong fit and you'd like to find out more about this role please apply and we'll be in touch.