Member of Technical Staff, Enterprise AI | $100-$130/hr Remote
Overview
A remote, full-time role focused on advancing enterprise AI systems through hands-on research embedded in real workflows. You’ll identify real-world failure modes, run rapid experiments, and translate findings into impactful improvements. Expect to design data and evaluation strategies, build practical tooling, and contribute to external research artifacts that drive robust, scalable AI solutions.
What You'll Do8
- 1Join enterprise AI workflows as a collaborative research partner alongside domain experts and client teams
- 2Identify and formalize failure modes observed in live deployments and rank them by impact
- 3Create high-signal datasets and evaluation protocols to address identified weaknesses
- 4Conduct tight experimental loops to validate hypotheses and measure improvements
- 5Produce clear analyses of system behavior to guide decision making
- 6Develop and benchmark agentic workflows with a focus on robustness and scalability
- 7Build lightweight tools to support evaluation, data curation, and rapid iteration
- 8Contribute to internal and external research artifacts such as reports and benchmarks
Requirements8
- 1Master's degree in Computer Science, Machine Learning, or a closely related field
- 2Strong judgment in assessing research signals, including data selection and evaluation design
- 3Experience building datasets and evaluation frameworks for ML systems
- 4Ability to turn ambiguous operational issues into structured research questions
- 5Familiarity with RL environments and agentic system evaluation
- 6Clear and concise communication with a bias toward actionable insights
- 7Proven track record of delivering in fast iteration and high-ambiguity contexts
- 8Collaborative mindset with experience working across research, product, and domain teams
Who Should Apply
Ideal candidates are researchers and engineers who thrive in hands-on, deployment-focused roles. You should enjoy translating real-world problems into research plans, collaborating across technical and business teams, and delivering actionable results in a remote, enterprise setting.
Salary Insight
Base salary range for the role is $180,000 to $250,000 annually with equity and potential bonuses; comprehensive benefits for remote employees.
Location
Required Skills
Application Tip
Prepare a concise case study of a past project where you identified a real-world failure and led an experiment that improved system performance, including datasets, evaluation metrics, and measurable outcomes.
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