Frontier AI Research Engineer (MTS) – Remote

Gradient Consulting; Time; A distancia; NOK 2.268.000 - 3.308.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity compensation

Performance bonuses

Health insurance reimbursement (up to

Paid time off

401(k) match

Remote-first

Descripción de la vacante

micro1 is seeking a Member of Technical Staff to join Realm Lab and drive frontier AI research. This remote-first role requires designing and evaluating ML benchmarks, datasets, and evaluation methodologies to advance model capabilities.

You will work with researchers to design experiments, validate tasks, and deliver reproducible pipelines supporting iterative model development. Strong CS/ML background and Python proficiency are essential.

Formación

• Strong background in CS/ML/AI.
• Experience designing ML evaluations and benchmark suites.
• Proficiency in Python and building data pipelines.
• Understanding of LLMs and post-training evaluation techniques.
• Ability to translate real-world workflows into structured experiments.

Responsabilidades

• Own end-to-end research and evaluation initiatives.
• Design and validate capability evaluations and benchmark suites.
• Develop datasets, task specs, evaluation rubrics, and methodologies.
• Analyze model behavior via failure analysis and capability gaps.
• Collaborate with researchers and engineers to run experiments.
• Build reproducible evaluation pipelines and contribute to reports.

Conocimientos

Python

ML research

Data pipelines

Evaluation tools

Independent work

Herramientas

Python

RL environments

Benchmark tools

Descripción del empleo

micro1 is seeking a Member of Technical Staff to join Realm Lab and drive frontier AI research. This remote-first role requires designing and evaluating ML benchmarks, datasets, and evaluation methodologies to advance model capabilities.

You will work with researchers to design experiments, validate tasks, and deliver reproducible pipelines supporting iterative model development. Strong CS/ML background and Python proficiency are essential.