About the role

Staff Research Scientist within DeepL's Language AI teams, driving scientific innovation in text translation products. Leading complex research efforts and collaborating closely with engineering teams.

Responsibilities

Lead hands-on research and development of our core text translation products.
Drive innovation on methods relevant to achieving perfect translation quality as well as translation quality estimation and evaluation.
Design, train, and optimize large-scale, LLM-based translation models for multilingual accuracy, context awareness, robustness, and varying latency demands.
Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimization, and production deployment.
Work closely with engineering teams to integrate models into real-time systems, ensuring reliability, uptime, and quality at scale.
Drive improvements in inference efficiency, model serving, voice UX, and robustness to real-world acoustic conditions.
Establish strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production.
Mentor researchers and engineers, promote hands-on collaboration, and raise the bar for model quality and operational excellence.

Deep expertise in foundations and application of machine translation.
A hands-on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production.
Experience shipping ML models to production, maintaining them at scale, and working with engineers on deployment, monitoring, and serving.
Ability to lead complex research efforts while staying grounded in product impact, user experience, and real-world performance.
Strong coding and experimentation skills (Python, PyTorch/JAX, audio processing libraries).
Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities.
Proven experience mentoring others and elevating technical quality across a fast-moving, applied research team.

Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities.
Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication.
Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week.
Virtual Shares - An ownership mindset in every role.
Regular in-person team events: we bond over vibrant events that are unique as our team.
Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can dive into a project you're passionate about.
30 days of annual leave: we value your peace of mind. With 30 days off and access to mental health resources.
Competitive benefits: we have crafted it to reflect the diversity of our team and tailored it to align with your unique location.