Perform exploratory data analysis and feature engineering on vast quantities of data.
Train models and build agents using the latest machine learning frameworks.
Integrate research outcomes into the product portfolio by working closely with the engineering team.
Present your work to broad audiences ranging from academic circles to industry stakeholders.
Enable cutting-edge technologies effectively as a key contributor to our multidisciplinary R&D environment.

PhD in Machine Learning, Data Science, Computer Science, or a related field with a strong focus on Machine Learning
Strong experience in Python and ML frameworks such as Hugging Face Transformers, LangChain, TensorFlow, or PyTorch
Successful research track record in the field of Machine Learning
Hands-on model development skills, including building models from scratch and running inference efficiently (generative and quantitative)

Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions
Retirement savings with company matching
Paid parental leave
Inclusive family-building benefits
Flexible paid time off
Company-wide seasonal breaks
Support for flexible work arrangements that enable sustainable performance
Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs

Machine Learning Research Scientist – Postdoctoral Fellow

Key skills