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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
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
Required Qualifications
Master's 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
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
Additional Information
Location/Work Style: Remote US
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.Application Deadline: 09-10-2026
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
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