Staff Generative AI Researcher, World Models
General Motors
Lead research into diffusion-based world models for General Motors’ autonomous vehicles. Advance generative AI, simulation, and Level 3 autonomy through large-scale research.
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Reef Group este o companie de dezvoltare și investiții care activează în domeniile imobiliarelor, infrastructurii, construcțiilor și tehnologiei. Înființată în 2002, compania își descrie orientarea pe termen lung ca fiind axată pe creștere și evoluție, prin proiecte menite să contribuie la o economie mai sustenabilă pe Pământ și, acolo unde este relevant, în domenii legate de spațiu.
Senior Data Scientist - Virginia Remote
Lead cloud data modernization and AI initiatives supporting Veterans and federal agencies. Build machine-learning products, deliver client training, and improve operational outcomes.
Descriere
- Advise internal clients while developing data products and workflows for critical operations
- Modernize and migrate client workloads to cloud platforms to deliver measurable improvements
- Lead client AI adoption initiatives focused on business outcomes
- Develop reference use cases, tutorials, code samples, and training that promote effective cloud-tool adoption
- Run office hours to strengthen client capabilities
- Design, train, and deploy machine-learning solutions for complex business challenges
Cerințe
- Bachelor’s degree in engineering, computer science, systems, business, or a related scientific or technical field
- At least 12 years of professional experience
- Proficiency in Python and advanced SQL for data analysis
- At least two years of experience with leading cloud platforms such as Databricks, Azure, AWS, and Google Cloud Platform
- Experience across the full data science lifecycle, from dataset identification through production, using tools such as NumPy, SciPy, and MLflow
- Strong understanding of traditional machine-learning toolsets
- Working knowledge of large language models and agentic AI workflows
- Preferred: at least five years of experience as a data scientist shipping multiple products into production
- Preferred: at least two years of experience creating visualized insights, dashboards, and reports for operational needs
- Preferred: experience using R, Stata, or SAS
- Preferred: experience refactoring R, Stata, or SAS codebases in Python
- Preferred: experience shipping products powered by large language models or AI agents
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