Enterprise AI Research Engineer
SaidGig
This role involves functioning as a research partner embedded within enterprise AI systems, focusing on improving system performance through real-world insights and experimental cycles. As a Member of Technical Staff, you will collaborate with domain experts and client teams to address operational challenges and enhance AI workflows.
Key Responsibilities Embed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.Surface, formalize, and prioritize system failure modes in real-world deployments.
Design high-signal datasets and evaluation protocols to target 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.
Qualifications 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.
Preferred 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.
Work Terms Full-time position with remote work flexibility.
Compensation The national pay range for this position is a base salary of $250, 000, $500, 000 USD, with eligibility for equity compensation and performance-based bonuses.
Eligibility micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations, and ordinances.
Vacancy posted 2 days ago
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