Staff AI Scientist, Foresight

Location: Petach Tikva, Israel

Company

hirify.global is a global financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Define the technical strategy and roadmap for next-generation foundation-model and agentic systems.
• Design and develop foundational language models and intelligent agents for financial and business workflows.
• Advance large-scale pretraining, supervised and reinforcement-learning fine-tuning, retrieval-augmented generation, and reasoning approaches.
• Build agents that support bookkeeping, autonomous accounting, planning, communication, and business insight generation.
• Take AI systems from experimentation to production, including evaluation frameworks and impact metrics.
• Mentor scientists and engineers, influence cross-functional technical direction, and share research through publications, presentations, or open-source contributions.

Requirements

• Ph.D. or Master’s degree in Computer Science, Mathematics, Machine Learning, AI, or a related field.
• Technical leadership experience with complex AI systems and experience influencing multiple teams.
• Experience with LLMs, multimodal or foundation models, including pretraining, fine-tuning, and deployment.
• Deep understanding of transformer architectures, reinforcement learning, reasoning models, and agentic systems.
• Strong proficiency in Python and modern machine-learning and agentic frameworks.
• Experience building end-to-end AI pipelines from experimentation to production at scale.

Nice to have

• Experience with GRPO, RLHF, RLFT, or model-based reinforcement learning for language or decision-making systems.
• Background in financial, accounting, or business-domain AI, probabilistic forecasting, or world models.
• Publications at leading machine-learning venues or meaningful open-source contributions.

Culture & Benefits

• Work on AI systems serving millions of small and medium-sized businesses.
• Collaborate across AI research, data science, engineering, product, and design.
• Competitive compensation with performance-based rewards.
• Potential eligibility for cash bonus, equity rewards, and benefits under applicable plans.