Applied scientist in Adobe's GenAI Evaluation Team evaluating audio & video models. Collaborating with researchers and engineers to design user studies and present findings to leadership.
About the role
- Designing and researching agentic systems at a tech-driven company specializing in chip design. Collaborating with chip designers and ML engineers for innovative solutions.
Responsibilities
- Design, engineer, and research agentic systems—software that plans, executes, uses tools, and learns
- Bridge LLM agent research with the engineering that puts these systems in production for chip design workflows
- Architect and iterate on agentic components: memory, context engineering, tool usage, multi-agent coordination
- Experiment with prompting, finetuning, and orchestration to improve agent performance
- Build scalable infrastructure for prompt iteration/testing, benchmarking, logging, and evaluation
- Assist with pipelines for fine-tuning, automated evaluation, and model deployment
- Work directly with chip designers and ML infra engineers to embed agentic workflows into chip design pipelines
- Partner with product teams to solve core agent challenges
- Define and evaluate performance metrics for agent systems
- Design goal-oriented agentic workflows to enhance task completion
Requirements
- 5+ years of combined ML research and / or software engineering experience
- Hands-on with LLMs: prompting, finetuning, evaluation
- Strong programming skills
- Solid foundations in distributed systems, data pipelines
- Cloud + on-premise infra experience involving GPUs. Familiarity with Docker
- Excellent communication & a bias toward collaborative problem-solving
- PhD or MS in ML, CS, or related field, or equivalent research + implementation experience
- Ability to build, evaluate, and iterate LLM-based applications
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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