Staff Machine Learning Engineer, Virtual Collaborator

Responsibilities:- Designing and implementing reinforcement learning pipelines specifically targeted at virtual collaborator use cases (productivity, organizational navigation, vertical domains)- Building and scaling our data creation platform for generating high-quality, open-ended tasks with domain experts and crowdworkers Integrating real organizational data to create authentic training environments- Developing robust rubric-based evaluation systems that maintain quality while avoiding reward hacking- Training Claude on advanced document manipulation, including understanding, enhancing, and co-creating- Partnering directly with product teams to ensure training aligns with shipped features You may be a good fit if you:- Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using- Have strong machine learning experience- Thrive at the intersection of research and product, with a pragmatic approach to solving real-world problems- Are comfortable with ambiguity and can balance research rigor with shipping deadlines- Enjoy collaborating across multiple teams (data operations, model training, product)- Can context-switch between research problems and product engineering tasks- Care about making AI genuinely helpful for everyday enterprise workflows Strong candidates may also have experience with:- Building human-in-the-loop training systems or crowdsourcing platforms- Working with enterprise tools and APIs (Google Workspace, Microsoft Office, Slack, etc.)- Developing evaluation frameworks for open-ended tasks- Domain expertise in finance, legal, or healthcare workflowsu00a0- Creating scalable data pipelines with quality control mechanisms- Reward modeling and preventing reward hacking in RL systems- Translating product requirements into technical training objectivesu00a0Deadline to apply:u00a0None. Applications will be reviewed on a rolling basis.u00a0The annual compensation range for this role is listed below.u00a0For sales roles, the range provided is the role's On Target Earnings (

Created: 2026-03-07