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Stelle
· Mid-level
Member of Technical Staff, Enterprise AI
Sonstige
• Mid-level
• Remote
• Vollzeit
•
EU/EMEA
Full-time forward-deployed research role embedded within enterprise AI systems, surfacing real-world failure modes and running experiments to improve system performance.
Stack
Responsibilities
- ▹Embed within enterprise AI workflows as a research collaborator alongside domain experts and client teams
- ▹Surface, formalize, and prioritize system failure modes in real-world deployments
- ▹Design high-signal datasets and evaluation protocols targeting identified weaknesses
- ▹Run tight experimental loops to validate hypotheses and quantify improvements
- ▹Produce clear, decision-oriented analyses of system behavior and performance
- ▹Develop and benchmark agentic workflows, focusing on robustness and scalability
- ▹Build lightweight tooling to support evaluation, data curation, and rapid iteration
- ▹Contribute to internal and external research artifacts, including reports and benchmarks
Requirements
- ▹Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field
- ▹Strong judgment for research signal quality, including data selection and evaluation design
- ▹Experience designing datasets and evaluation frameworks for ML systems
- ▹Ability to translate ambiguous operational issues into structured research problems
- ▹Familiarity with RL environments and/or agentic system evaluation
- ▹Clear, concise communicator with a bias toward actionable insight
- ▹Proven ability to execute in fast iteration cycles and high-ambiguity settings
- ▹Collaborative mindset with experience working across research, product, and domain teams
Nice to have
- ▹Strong client-facing experience, particularly in technical or research-driven environments
- ▹Experience building internal research or evaluation tooling
- ▹Contributions to benchmarks, research publications, or open research initiatives
- ▹Exposure to enterprise AI deployments or forward-deployed research models
Soft skills
Clear, decision-oriented communicationCross-functional collaboration across research, product, and domain teamsComfort with high ambiguity and fast iteration
What we offer
- ▹Base salary of $140,000-$180,000 USD
- ▹Equity compensation
- ▹Performance-based bonuses, role dependent
- ▹Up to 100% health insurance premium reimbursement
- ▹Paid time off
- ▹401(K) plan with company match
About the company
The company is an equal opportunity employer and uses AI tools to assist in candidate screening, complementing rather than replacing human decision-making.
Education: Mesterdiploma számítástechnikából, gépi tanulásból, mesterséges intelligenciából vagy kapcsolódó technikai területről
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