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Staff AI Scientist
Не указаноПолная занятостьAI & Machine LearningFinancial Software
Lead the development of foundation models and intelligent agents for financial and business workflows. Set technical direction, advance AI research, and take systems from experimentation through production.
Обязанности
- Set technical strategy and roadmaps for foundation-model and agentic systems.
- Design and develop foundation language models and agent architectures.
- Research pretraining, fine-tuning, retrieval-augmented generation, and reasoning methods.
- Build agents for financial data and business workflows, including bookkeeping, accounting, planning, and insight generation.
- Develop evaluation frameworks and metrics, and take systems from experimentation to production.
- Use financial and business data signals to improve model performance.
- Mentor scientists and engineers and review technical designs.
- Collaborate with research, engineering, product, and design teams to deliver scalable products.
- Share research and technical findings through publications, presentations, or open-source contributions.
Требования
- Master’s or doctoral degree in computer science, mathematics, machine learning, AI, or a related field.
- Technical leadership experience with complex AI systems.
- Experience with language, multimodal, or foundation models, including pretraining, fine-tuning, and deployment.
- Strong knowledge of transformer architectures, reinforcement learning, reasoning models, and agentic systems.
- Proficiency in Python and modern machine learning and agent frameworks.
- Ability to build end-to-end AI pipelines and bring them to production at scale.
- Experience guiding technical direction across teams and mentoring scientists or engineers.
Будет плюсом
- Experience with RL fine-tuning methods such as GRPO or RLHF/RLFT, or model-based reinforcement learning.
- Background in financial, accounting, or business AI, probabilistic forecasting, or world models.
- Publications at leading machine learning venues or meaningful open-source contributions.
Условия и преимущества
- Competitive compensation
- Potential cash bonus and equity rewards
- Benefits