AI Scientist

XTM is looking for an AI Language Scientist to shape how we build and apply artificial intelligence across our translation and localization ecosystem. This is a high-impact role for an AI expert who wants to operate at the intersection of deep technical research, product roadmap, and hands-on engineering. This is an individual contributor role with no direct people-management responsibilities.

Responsibilities

Explore how advances in AI disrupt and enhance traditional translation, terminology, localization, and multilingual content workflows; Identify high-value opportunities where LLMs, RAG, and custom models improve automated translation quality, workflow automation, and enterprise localization tools; Stay at the forefront of AI/ML developments (LLMs, multimodal AI, agentic systems, vector embeddings, fine-tuning); Design and execute prototypes, experiments, and proof-of-concepts to validate new capabilities; Establish rigorous metrics for model evaluation, quality, reliability, accuracy, latency, and cost; Work closely with Product and Engineering teams to turn successful experiments into production-ready capabilities; Partner with engineers to move prototypes to scalable implementations and define technical requirements for AI-powered features; Write clean Python code and contribute hands-on technical implementations where appropriate; Partner with Product, Engineering, and executive leadership to define XTM's AI vision and technical roadmap; Conduct build-vs-buy evaluations across models, platforms, frameworks, and AI infrastructure; Set internal standards for experimentation, evaluation, responsible AI, and production readiness; Serve as an external voice for XTM through research-led articles, industry presentations, and engagement with AI communities (secondary focus)

Requirements

5+ years of professional experience in AI, Machine Learning, NLP, Generative AI, or a closely related field; Proven experience in NLP, translation technology, computational linguistics, or working with large multilingual datasets; Demonstrated success building with LLMs, modern ML frameworks, transformers, RAG, vector search, and model fine-tuning; Strong Python skills and the ability to build functional prototypes and write production-grade code alongside engineering teams; Proven ability to critically evaluate emerging tech against real-world metrics (accuracy, latency, cost); Exceptional ability to explain complex AI concepts clearly to technical and non-technical stakeholders

Nice to have

Advanced degree (Master's or PhD) in Computer Science, AI, NLP, or computational linguistics; Experience with agentic AI workflows, tool-using LLMs, and AI observability frameworks; Prior experience in enterprise B2B SaaS environments; Published research, patents, or active open-source contributions

Benefits

Make a real impact on meaningful business outcomes; Innovate with AI and technology; Grow your career globally across international teams; Collaborate across disciplines; Keep learning and evolving; Competitive rewards and benefits, which may vary depending on location and employment type