Lead Data Scientist
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Job Location:
Dallas, IA - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Key Responsibilities
Architect goal setting and goal decomposition mechanisms for autonomous agents operating in uncertain or open-ended environments
Design and implement dynamic planning systems (e.g. hierarchical planning curriculum learning scratchpad/self-refinement loops)
Collaborate on memory tool-use and feedback-loop designs enabling multi-step self-directed agent behavior
Develop evaluation frameworks for alignment with human intent consistency progress against long-horizon objectives
Prototype agents that interface with APIs MCP servers search engines databases or real-world actuators to pursue goals safely and efficiency
Explore mechanisms to detect and mitigate goal misalignment looping behavior or undesirable emergent strategies
Work across teams to integrate goal alignment with safety alignment and operational reliability mechanisms
Design and implement dynamic planning systems (e.g. hierarchical planning curriculum learning scratchpad/self-refinement loops)
Collaborate on memory tool-use and feedback-loop designs enabling multi-step self-directed agent behavior
Develop evaluation frameworks for alignment with human intent consistency progress against long-horizon objectives
Prototype agents that interface with APIs MCP servers search engines databases or real-world actuators to pursue goals safely and efficiency
Explore mechanisms to detect and mitigate goal misalignment looping behavior or undesirable emergent strategies
Work across teams to integrate goal alignment with safety alignment and operational reliability mechanisms
Technical skills
Proficiency in SQL Python and data analysis/data mining tools.
Experience with machine learning frameworks like Pytorch Jax LangChain LangGraph or AutoGen
Experience with high performance large-scale ML systems
Experience with language modeling with transformers
Experience with symbolic planning causal reasoning and model-based RL
Experience with large-scale ETL
Experience with machine learning frameworks like Pytorch Jax LangChain LangGraph or AutoGen
Experience with high performance large-scale ML systems
Experience with language modeling with transformers
Experience with symbolic planning causal reasoning and model-based RL
Experience with large-scale ETL
Required Qualifications
Masters Degree and 4 years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions
2 years of experience leading development of AI/ML systems
2 years of experience leading development of AI/ML systems
Preferred Qualifications
Ph.D. in Computer Science Data Science Machine Learning or a related field
Demonstrated experience shipping autonomous or semi-autonomous agents in production or simulation
Experience with LLM-based agents with scratchpad/self-reflection or hierarchical task decomposition
Understanding of autonomy risk mitigation strategies including off-switch protocols or bounded rationality
Demonstrated experience shipping autonomous or semi-autonomous agents in production or simulation
Experience with LLM-based agents with scratchpad/self-reflection or hierarchical task decomposition
Understanding of autonomy risk mitigation strategies including off-switch protocols or bounded rationality
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
