About this role
Highlight AI is hiring a full-time Member of Technical Staff, ML to build advanced machine learning systems in San Francisco. This hands-on position suits an experienced engineer with a passion for scaling production AI and delivering measurable user impact.
Role Overview
The organization is looking for a dedicated engineer to develop the machine learning backbone that drives its shared intelligence layer. Candidates will work across the entire ML stack, taking ownership of critical systems from end to end. Responsibilities include building data pipelines, handling model training, refining retrieval processes, and deploying features that seamlessly connect information across modern teams.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Highlight AI develops a shared intelligence layer designed for the modern workforce, unifying context across team members and tools to eliminate information silos. The platform proactively routes knowledge and reliably automates organizational workflows as it evolves. The team values speed, high standards, grit, and the philosophy that the best ideas always win regardless of titles.
How to Apply
Interested candidates should visit the official Highlight AI careers page to submit an application for this role.
Skills and tech stack
Questions candidates ask
What is the location of this job?
This is an on-site role located at the Highlight AI office in San Francisco, requiring candidates to work in the office five days a week.
What level of experience is required?
Applicants must have 4+ years of professional experience in machine learning or AI engineering, along with significant experience shipping production systems.
What is the salary range for this position?
The annual salary for the Member of Technical Staff, ML role ranges from $200,000 to $300,000 USD.
What benefits and perks are included?
Perks include a competitive salary, generous equity, health, dental, and vision insurance, flexible PTO, parental leave, paid weekly team lunches, and a relocation package.
What core technical skills are needed?
Candidates need hands-on proficiency with PyTorch, vector databases, modern ML infrastructure, RAG systems, retrieval, ranking, and LLM applications.
