Senior Research Scientist focused on quantum computing performance and pioneering research. Working with AI and control theory to optimize quantum systems in a high - performance culture.
About the role
- Shape scientific strategy and vision for post-training across DeepL, identifying high-leverage directions, setting technical standards and leading research initiatives in a highly dynamic, fast-paced environment
- Build and deploy state-of-the-art reinforcement learning pipelines at scale
- Post-train large (multi-modal) models to align them with human intent and enable general capabilities such as reasoning, pushing the boundaries of model performance, safety, and efficiency
- Drive the entire lifecycle of research and production: from idea conception, theoretical modeling, prototyping, ablation studies, all the way to production deployment
- Work closely with cross-functional leadership to shape the technical strategy and priorities of the foundational models research track
- Build and foster external collaborations with academic and industrial partners
- Set scientific and technical standards for experimentation, reproducibility, and model evaluation
- Collaborate deeply with Engineering, ML Platform, and HPC teams to deliver robust and reliable model updates to users
- Mentor and guide senior scientists, researchers, and engineers, fostering a culture of excellence, curiosity, and impact
Requirements
- PhD (or equivalent experience) in Computer Science, Machine Learning, Applied Mathematics, Physics or a related field
- 5+ years of experience in ML research, including several years leading high-impact projects with responsibilities extending across different teams
- Strong expertise in deep reinforcement learning (RLHF/RLAIF/RLVR)
- Hands-on experience scaling and deploying LLMs or other foundation models in real-world systems
- Strong programming skills and experience working with large compute clusters and ML infrastructure
- Excellent communication skills — able to clearly explain complex topics to diverse audiences
- Track record of mentoring other scientists and setting technical long-term vision.
Benefits
- Competitive benefits
- Open, welcoming work culture
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
NR
National Centre for Social ResearchSenior Researcher
Senior Researcher focusing on statistical impact evaluation at NatCen. Designing and analyzing trials to inform national policies across various sectors.
Principal Scientist I or II at Parexel providing operational support for chemistry sourcing projects and ensuring high - quality delivery of products and services.
Leading device development strategies for drug - device combination products. Collaborating with cross - functional teams from concept to launch while ensuring regulatory compliance.
Principal Scientist leading device development strategies for innovative drug - device combination products. Collaborating with cross - functional teams to ensure high quality and robust manufacturing processes.
Lead device development strategies for biologic/drug/vaccine - device combination products with a focus on product and process development. Collaborate with cross - functional teams from concept through launch.
Lead strategic activities in translational medicine studies for AstraZeneca, ensuring compliance with China - specific requirements and collaboration with global teams.
EG
Evolution Research GroupResearch Assistant – Full Time
Research Assistant assisting with clinical studies and data analysis at Evolution Research Group. Ensuring compliance and accuracy in research activities with detailed recordkeeping.
BH
Beth Israel Lahey HealthPostdoctoral Research Fellow – General Medicine
Postdoctoral Research Fellow in General Medicine at Beth Israel Lahey Health. Focusing on research linking delirium and Alzheimer's disease under mentorship in a biomedical field.
Statistical lead developing biostatistical support for drug and vaccine projects in R&D. Interacting with multiple disciplines to ensure effective clinical trial design and analysis.