Lead research and development of AI and machine learning solutions, focusing on tokenomics, routing policies, and energy-aware deployment across edge-to-cloud environments.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 143,000 - 290,500 in California
Responsibilities
Participate as a member of the Hewlett Packard Labs Machine Learning research team
Research and prototype methods for job and system state representations
Develop routing policies, model cascades, and adaptive controllers
Assign and enforce token, context, reasoning, and compute budgets
Build benchmark, telemetry, accounting, and workload-simulation environments
Requirements
PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or related field
Research and develop machine learning solutions for AI tokenomics, routing, and deployment across edge-to-cloud environments.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 143,000 - 290,500 in California
Responsibilities
Participates as a member of the Hewlett Packard Labs Machine Learning research team, carrying out the investigation, design, development, execution, and implementation of AI tokenomics research to generate new products, technologies, and intellectual property.
Researches and prototypes methods that learn representations of jobs and system states, and that predict workload complexity, answer quality, latency, token demand, energy, and cost.
Develops routing policies, model cascades, and adaptive controllers that select the appropriate LLM, reasoning mode, retrieval strategy, tool chain, and deployment target (local, edge, private cloud, or public cloud) for each job.
Develops methods to assign and enforce token, context, reasoning, and compute budgets based on job difficulty, priority, risk, service-level objectives, and expected business value.
Builds benchmark, telemetry, accounting, and workload-simulation environments.
