Senior Applied Scientist, Delivery Foundation Model

What you'll do

• Design and implement multimodal deep learning architectures and train models for large-scale delivery use cases.
• Lead research initiatives from experimentation through production deployment, collaborating with science and engineering teams.
• Guide technical direction and mentor scientists while remaining hands-on with technical work.

What they ask for

• PhD in a listed quantitative field or equivalent, or a Master’s degree and 10+ years of industry or academic research experience.
• 5+ years building machine learning models or developing algorithms for business applications.
• Proficiency with data, SQL, and Spark; production coding skills in Python, C++, or other languages.
• Strong top-tier conference publication record or demonstrated industry ML innovation; experience mentoring junior scientists or engineers.

Nice to have

• Experience building foundation models, multimodal architectures, or motion-prediction models.
• Experience with large-scale distributed ML training and inference or successful production ML deployments.

Pay

USD 192,200.00 - 260,000.00 annually (base salary); USD 167,100.00 - 226,100.00 annually (base salary)

Tools

SQL, Spark, Python, C++, NeurIPS, ICML, ICLR, CVPR

AI focus

Develop multimodal foundation models using image, video, geospatial, and sensor data for delivery planning, safety, quality, and efficiency.