Working Student supporting AI adoption at FactFinder, integrating AI into business processes. Collaborating with leaders to transform the company into an AI - native organization.
About the role
- Manager, Applied Science leading teams on multimodal data research to build datasets for generative AI. Overseeing technical design and execution for foundational model training systems.
Responsibilities
- Lead and grow a team of applied scientists and engineers working on multimodal data research and generative AI training systems
- Own and evolve key parts of the training and experimentation datasets.
- Partner closely with applied research and engineering teams to support the full lifecycle from experimentation to production
- Drive technical design and architecture decisions for large-scale data pipelines and dataset creation and maintenance.
- Remain hands-on enough to review designs, guide implementation choices, and unblock complex technical issues
- Establish standard processes for system robustness, testing, observability, and reproducibility
- Drive execution against milestones while adapting to changing research and product priorities
- Build a strong team culture focused on ownership, collaboration, and continuous improvement
Requirements
- MS or PhD in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent practical experience
- At least 4+ years of experience leading or managing technical teams in AI/ML domains, with a large component of working on data.
- Strong hands-on experience working on model training and data.
- Ability to operate as a technical leader, making sound design tradeoffs and unblocking complex engineering problems
- Strong communication skills and the ability to collaborate across research, engineering, and product organizations
- Comfort working in fast-moving, ambiguous environments typical of generative AI development
Benefits
- Health insurance
- Retirement plans
- Professional development opportunities
- Paid time off
- Flexible work arrangements
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