Research Engineer

Employia G&A Consulting GmbH; California; Presencial; USD 185.000 - 350.000; Jornada completa

Descripción de la vacante

Employia G&A Consulting GmbH in partnership with an AI safety research lab seeks a Founding Research Engineer to advance law-following AI across evaluations, training, and runtime control. You will design experiments, build evaluation environments and training pipelines, and work with legal experts to ground research in real-world practice.

You’ll own projects end to end, from design through publication. Join a high-ownership, research-driven team tackling frontier AI safety with no playbook,

Formación

• 1–5 years in applied research or ML engineering.
• Degree in CS/ML or equivalent experience.
• Experience in AI safety, alignment, evaluations, or related research.
• Strong Python and ML stack skills.
• Ability to tackle ambiguous research problems without predefined solutions.
• Experience building or working with evaluations, training environments, post-training pipelines, or AI agents is highly relevant.
• Comfortable in a fast-paced startup with rigorous research.
• Legal training or research in law/computation is a plus.
• Experience training or validating LLM judges is a plus.

Responsabilidades

• Design experiments and build evaluation environments.
• Develop training pipelines and validate LLM judges.
• Collaborate with legal experts to ground research in real-world practice.
• Own projects end to end, from research design through publication.

Conocimientos

Applied research

ML engineering

Python

Ambiguity management

Startup experience

Educación

CS/ML degree or equivalent

Herramientas

ML stack

Evaluation tools

Training environments

Descripción del empleo

We're partnering with an AI safety applied-research lab focused on ensuring AI agents follow the law in real-world deployments. The company is building evaluations, training environments, and runtime guardrails that help AI systems understand and comply with legal and regulatory requirements.Its initial focus is financial services, where AI agents increasingly interact with highly regulated workflows and real-world systems.

Company Snapshot

• $9.2M pre-seed funding, backed by 8VC and Floodgate.
• Founded in 2025 and currently operating in stealth.
• Led by founders with backgrounds spanning Stanford, MIT, Harvard, Scale AI, and the US government.
• Elite, high-agency team of engineers, legal experts, and researchers.
• Building across three core areas: legal evaluations, training environments, and real-time runtime guardrails.
• Starting with financial services as the first vertical, with design partners already engaged.

About the Role

As a Founding Research Engineer, you'll advance research on law-following AI across evaluations, training, and runtime control. You'll design experiments, build evaluation environments and training pipelines, develop methods for validating LLM judges, and work closely with legal experts to ground the research in real-world legal practice. You'll own projects end to end, from research design through implementation, experimentation, and publication.

Why You Should Join

• Take a founding research seat at the intersection of AI safety, machine learning, and law.
• Own research projects from initial hypothesis through experimentation and publication.
• Work directly with founders, research leadership, lawyers, and an academic advisory board.
• Build evaluations and training environments for frontier AI agents.
• Work on an emerging AI safety problem with no established playbook.
• Have meaningful influence over the research direction, product, and technical architecture.
• Join a highly technical, research-driven team operating with significant ownership and speed.

Qualifications

• 1–5 years of experience in applied research, ML engineering, or a closely related field.
• Degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
• Experience in AI safety, alignment, evaluations, or related research, through industry work, academia, publications, or open-source projects.
• Strong engineering skills in Python and the modern ML stack.
• Strong ability to tackle ambiguous research problems without predefined solutions.
• Experience building or working with evaluations, training environments, post-training pipelines, or AI agents is highly relevant.
• Comfortable working in a fast-paced startup environment while maintaining strong research rigor.
• Legal training or research in law and computation is a plus.
• Experience training or validating LLM judges is a plus.

Pay range and compensation package

• Compensation: $185K–$350K + Competitive Equity