Who we are looking for
As our Machine Learning Engineer, you'll define how Arcline measures and improves its AI, owning the full research loop from problem framing to product integration, all while working to revolutionize the legal industry.
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Highlights
Relevant experiences
3+ years in applied research/ML with proven impact on real systems.
Deep familiarity with LLM evaluation, metrics, and eval pipeline building.
Strong experience with agentic search systems (retrieval, tool use, generation, rigorous evaluation).
Solid statistical foundation for experiment design and result interpretation.
Experience in the legal domain (understanding document structure, reasoning, AI evaluation challenges).
Strong communication skills to present ambiguous findings to diverse audiences.
Comfortable setting direction and operating with high autonomy in an early-stage environment.
Nice to Have
Experience building eval infrastructure (annotation, dataset versioning, automated regression).
Familiarity with fine-tuning or RLHF for domain-specific models.
Background in legaltech, compliance, or regulated B2B SaaS.
Experience hiring or mentoring junior researchers.
Contributions to open-source evaluation frameworks or published NLP/LLM benchmarking work.
Define and Elevate Arcline's AI Systems
About the Role
As an Machine Learning Engineer, you will be instrumental in shaping the future of legal AI at Arcline. You'll lead the charge in measuring, evaluating, and continuously improving our AI systems, owning the entire research lifecycle from conceptualization to tangible product impact. This role demands both rigorous methodological expertise and a passion for shipping transformative work.
Shape the Future of Legal AI
Why Join Arcline?
Direct Impact
Pioneering Work
Autonomy & Trust
Growth Opportunity
YC Network
Office location
Oslo, NO
Oslo, Norway
Our offering
Our culture

