Senior AI Research Engineer: Frontier Models & Impact

Hidden Jobs; United States; Remote; USD 250,000 - 350,000; Full time

Benefits offered by this job

Equity

Conference exposure

High autonomy

Job summary

Hidden Jobs in the United States seeks a senior research engineer to advance frontier AI systems using large-scale datasets, RL environments, and evaluation frameworks for post-training improvements across software agents and function-calling systems.

The role blends applied research with engineering, translating experimental findings into scalable production capabilities and collaborating with cross-functional teams to drive high-value AI initiatives. Equity and impact are central to the role.

Qualifications

• Strong background in machine learning research and experimental design.
• Experience training, testing, and evaluating models with modern AI tooling.
• Ability to translate research findings into product or platform improvements.
• Commitment to reproducibility and data quality in experiments.
• Comfort collaborating across research, engineering, product, and operations.

Responsibilities

• Formulate and investigate research questions about frontier model capabilities and training methods.
• Design and run rigorous experiments, deriving evidence-based conclusions.
• Build research-grade datasets, tooling, and evaluation frameworks for coding UI and function-calling environments.
• Partner with research, engineering, product, and operations teams to scale promising ideas.
• Contribute to the broader research community through reports, publications, or open-source work.

Skills

ML research

Experimental design

Statistical analysis

Model evaluation

Cross-functional collaboration

Job description

Hidden Jobs in the United States seeks a senior research engineer to advance frontier AI systems using large-scale datasets, RL environments, and evaluation frameworks for post-training improvements across software agents and function-calling systems.

The role blends applied research with engineering, translating experimental findings into scalable production capabilities and collaborating with cross-functional teams to drive high-value AI initiatives. Equity and impact are central to the role.