What are the responsibilities and job description for the Lead AI Scientist position at Rise Technical?
Lead AI Scientist
200,000 to $350,000 Equity Benefits PTO
Hybrid – Palo Alto, CA
Are you a distinguish AI scientist looking for a role where you can leverage your technical leadership skills and ML expertise within a very exciting AI startup that has already secured 9 figure funding?
This is an extraordinary opportunity to join a fast-growing startup with very significant funding, in a role where you will be technically leading a team at the very forefront of innovation within the enterprise legal tech sector, and benefiting from long term progression into leadership.
This company is creating AI-driven legal automation solutions designed to help enterprise legal teams optimize compliance, contract analysis, and risk assessment.
By leveraging NLP and machine learning, their AI agents efficiently analyze legal documents, enforce regulatory compliance in marketing campaigns, and identify potential risks. This streamlines workflows, reducing manual effort and enabling legal professionals to focus on high-level strategy.
In this role, you will be responsible for the building, training, deployment and optimization of production-grade models, as well as the processing and analysis of large, complex datasets to extract actionable insights.
You will work directly with the CTO, in addition to cross functional teams in order to translate business objectives into AI-powered strategies and deliverables. Lastly, you will mentor team of AI Engineers, cultivating an environment of innovation, experimentation, and continuous growth.
This is a rare opportunity to get involved a financially stable startup with a huge potential to disrupt the enterprise legal tech sector, working on highly innovative models whilst mentoring others and progressing toward leadership.
The Person :
- Technical skillset : Python, PyTorch, TensorFlow, MLFlow
- Experience building and deploying LLMs, RAGs, evaluation techniques, and machine learning frameworks
- Experience in diagnosing and resolving AI / ML model issues, including model drift, data quality challenges, and performance optimization
The Role :
