- Superannotate
- San Francisco, CA
- Full-Time
- 69 days ago
- In addition to the annual base salary, employees are eligible for an annual bonus paid out quarterly.
Research Engineer.
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Research Engineer: our view in 3 lines...
- The Role:This role is for a research engineer working on frontier AI research, ML-heavy client work, and internal projects that can become datasets, papers, blog posts, or joint publications.
- The Person:The person will scope research directions, review papers and benchmarks, reimplement relevant work, build MVPs, and turn the work into datasets, pilots, papers, blog posts, or publications.
- Requirements:The role calls for ML depth, human annotation, agents, papers, benchmarks, prior work, reimplementing relevant research, and reproducing and improving it internally.
About the role
Our research team is expanding to keep pace with a wave of frontier-facing work: internal research streams, client engagements that require real ML depth, and emerging opportunities at the cutting edge of the field. As a Research Engineer, you'll take a research direction and run with it – finding the right papers, benchmarks, and prior work, reimplementing what's relevant, and building out the process to reproduce and improve on it internally.
You'll own initiatives end to end: partnering with strategic project and technical leads to scope the work, building MVPs to validate ideas (including through human annotation and agents), and turning that work into something concrete – a customer dataset, a pilot, an internal dataset that becomes a paper or blog post, or a joint publication with a partner. You won't be handed a fully specified task list; you'll be given a direction and the autonomy to turn it into a research plan.
This is a full-time, hybrid position based in San Francisco.
Why SuperAnnotate
This is a rare opportunity to work at the intersection of frontier AI research and real production impact. You'll work on projects with frontier labs that move the needle on model performance, with your work feeding directly into the next generation of agent capabilities. You'll have the opportunity to implement projects that actually matter, publish research, and present at conferences – alongside a multidisciplinary, multinational team and collaborate with some of the most prominent labs and AI companies globally.
