Senior ML Engineer: LLM Agents, Simulation & Interactive AI

Apple; Cupertino (CA); In loco; USD 150.000 - 278.000; Tempo pieno

Vantaggi offerti da questo lavoro

Comprehensive medical and dental

Retirement benefits

Stock programs eligibility

Education expense reimbursement

Employee stock purchase plan discount

Relocation eligibility

Descrizione del lavoro

Apple is hiring a Senior Machine Learning Engineer in Cupertino to advance scalable LLM reasoning systems and agent-based simulation tooling for voice experiences.

You'll work on infrastructure for training and experimentation, and integrate agent behaviors across client and backend environments, collaborating with ML scientists and engineers to transition research into deployable systems.

Competenze

• Experience deploying LLM models in research or production contexts.
• Knowledge of adaptive feedback loops, reinforcement learning, or interactive agent design.
• Familiarity with client-backend integration for AI-driven applications.

Mansioni

• Design scalable simulation and evaluation frameworks for LLM-based agents.
• Translate novel reasoning approaches from ML researchers into production-grade systems.
• Develop infrastructure for training and experimentation with agentic behaviors.
• Integrate agent reasoning capabilities into client-side and backend environments.
• Improve iteration speed by creating tooling for experimentation, prototyping, and deployment.

Conoscenze

LLM deployment

Python

Client-backend integration

Reinforcement learning

System design

Experimentation tooling

Formazione

MS/PhD in Computer Science, Machine Learning, or related field

Bachelor’s degree in CS, ML, or related quantitative field with 3+ years experience

Strumenti

Docker

ML pipelines

Descrizione del lavoro

Apple is hiring a Senior Machine Learning Engineer in Cupertino to advance scalable LLM reasoning systems and agent-based simulation tooling for voice experiences.

You'll work on infrastructure for training and experimentation, and integrate agent behaviors across client and backend environments, collaborating with ML scientists and engineers to transition research into deployable systems.