Senior Research Scientist | Model Steering
- Role
- Research
- Experience
- Senior
- Employment
- Full-time
- Company size
- Mid-size
Open to GB only. Set where you work from to check your eligibility.
Core skills
Required skills
Optional skills
Meet DeepL
DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures.
Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you’re ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination.
What sets us apart
What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected.
When we share what it’s like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture.
What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL onLinkedIn,Instagram, and our Blog.
Meet the team behind this journey
Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company.
Your responsibilities
We are looking for a Senior Research Scientist to lead fine-tuning, post-training, model-steerability, and reinforcement learning for the next generation of DeepL's LLM-based translation models. This is a high-impact, hands-on role for a researcher who can own a major research direction, prototype rapidly, run large-scale experiments, and drive breakthroughs all the way into production.
Your central focus is how we blend data and shape model behaviour after pre-training. You will fuse high-value human expert data with synthetic data, and you will lead the effort to make our translation models steerable, following custom user instructions, rules, and context. You will work with model architectures at the scale of hundreds of billions of parameters.
You will:
- Drive the development of translation models that are steerable conditioned on user preferences, rules and context.
- Drive hands-on research and development on post-training for our core translation models: supervised fine-tuning, knowledge distillation, preference optimization, and reinforcement learning tuned to translation quality.
- Build reward models and evaluator models for translation, including rubric- and reference-based grading, and investigate and mitigate reward hacking and quality-estimation failure modes.
- Drive an agenda toward models that ingest multimodal content and context to increase translation quality.
- Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimization, and production deployment, working closely with engineering to ship into real-time systems at scale.
- 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.
Qualities we look for
- Proven experience making large models steerable and instruction-following by identifying the most effective method to instill a given behavior, drawing from instruction tuning, latent space methods, steering vectors, and/or constrained encoding and decoding methods.
- Deep, hands-on expertise in LLM post-training (SFT, DPO), knowledge distillation (teacher-student training), and/or reinforcement learning (RLHF/RLAIF, PPO/GSPO, and reward modeling).
- Strong data-centric instincts for building synthetic-data and preference-data pipelines, LLM-as-judge generation, data curation and filtering, and reasoning about data mixtures and ablations.
- Experience designing evaluation and reward signals using automatic metrics, LLM-as-judge evaluation, non-verifiable rewards, and human-in-the-loop evaluation.
- A hands-on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real-world quality.
- Ownership of a substantial research direction with strong execution, and experience mentoring others on a fast-moving, applied research team.
- Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities.
Nice to have
- Demonstrated experience fine-tuning and training large models at scale, including distributed/multi-node training (e.g. FSDP, DeepSpeed, or Megatron-style frameworks) and efficient training techniques.
- Experience fine-tuning existing reasoning models for specific tasks and behaviors without degrading their reasoning capabilities.
- Experience with machine translation, multilingual NLP, or language quality estimation.
- Familiarity with inference and serving at scale (e.g. via vLLM, SGLang, TensorRT-LLM, etc) and long-context modelling.
- Publications at top-tier venues.
What we offer
- Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.
- Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.
- Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration.
- Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that’s why every employee receives Virtual Shares, linking your contribution directly to DeepL’s growth and rewarding you with a stake in our future.
- Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally.
- Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.
- 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.
- Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.
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!
#LI-JB1
We are an equal opportunity employer
You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.
What you'll do
- Lead fine-tuning, post-training, model-steerability, and reinforcement learning for the next generation of DeepL's LLM-based translation models.
- Own a major research direction, prototype rapidly, run large-scale experiments, and drive breakthroughs all the way into production.
- Blend high-value human expert data with synthetic data.
- Lead the effort to make translation models steerable, following custom user instructions, rules, and context.
- Work with model architectures at the scale of hundreds of billions of parameters.
- Drive the development of translation models that are steerable conditioned on user preferences, rules and context.
- Drive hands-on research and development on post-training for core translation models: supervised fine-tuning, knowledge distillation, preference optimization, and reinforcement learning tuned to translation quality.
- Build reward models and evaluator models for translation, including rubric- and reference-based grading, and investigate and mitigate reward hacking and quality-estimation failure modes.
- Drive an agenda toward models that ingest multimodal content and context to increase translation quality.
- Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimization, and production deployment, working closely with engineering to ship into real-time systems at scale.
- 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.
What they require
- Proven experience making large models steerable and instruction-following by identifying the most effective method to instill a given behavior, drawing from instruction tuning, latent space methods, steering vectors, and/or constrained encoding and decoding methods.
- Deep, hands-on expertise in LLM post-training (SFT, DPO), knowledge distillation (teacher-student training), and/or reinforcement learning (RLHF/RLAIF, PPO/GSPO, and reward modeling).
- Strong data-centric instincts for building synthetic-data and preference-data pipelines, LLM-as-judge generation, data curation and filtering, and reasoning about data mixtures and ablations.
- Experience designing evaluation and reward signals using automatic metrics, LLM-as-judge evaluation, non-verifiable rewards, and human-in-the-loop evaluation.
- A hands-on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real-world quality.
- Ownership of a substantial research direction with strong execution, and experience mentoring others on a fast-moving, applied research team.
- Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities.
- Demonstrated experience fine-tuning and training large models at scale, including distributed/multi-node training (e.g. FSDP, DeepSpeed, or Megatron-style frameworks) and efficient training techniques.
- Experience fine-tuning existing reasoning models for specific tasks and behaviors without degrading their reasoning capabilities.
- Experience with machine translation, multilingual NLP, or language quality estimation.
- Familiarity with inference and serving at scale (e.g. via vLLM, SGLang, TensorRT-LLM, etc) and long-context modelling.
- Publications at top-tier venues.
- 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!
Benefits
- 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
- Hybrid work, flexible hours
- Virtual Shares - An ownership mindset in every role.
- Regular in-person team events
- Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.
- 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.
- Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.
AI-powered machine translation service developed by DeepL SE