Requirements
- 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.
Work Arrangement
Hybrid
Team
Structure: dedicated group of researchers who collaborate closely with engineers, product managers, and designers.
Additional Information
- If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply—let's discover your potential together. We can't wait to meet you!
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