Apple Inc.
Senior Machine Learning Engineer – LLMs, Agent Systems, and Simulation Tooling
Apple Inc., Sunnyvale, California, United States, 94087
Senior Machine Learning Engineer – LLMs, Agent Systems, and Simulation Tooling
Sunnyvale, California, United States | Machine Learning and AI Description
We’re seeking a senior ML engineer with strong expertise in large language models and agent-based systems to build the core reasoning and simulation capabilities behind a future platform for agentic voice experiences. You will work on advancing how LLMs plan, adapt, and evaluate actions in realistic environments, contributing to the development of reliable and trustworthy AI agents. Your work will focus on developing robust infrastructure and tooling for training, simulation, and evaluation of agentic LLMs. You’ll design and run experiments in simulated environments, build scalable evaluation pipelines, and help integrate agent behaviors across client and backend systems. This role is an opportunity to push the boundaries of reasoning, adaptive behavior, and platform architecture for agent-based intelligence. You will collaborate closely with ML scientists, applied researchers, and product engineers to transform early research into deployable systems. Together, we will shape a platform that empowers developers and end-users to build rich, voice-driven AI experiences. Responsibilities
Design and implement scalable simulation and evaluation frameworks for LLM-based agents Collaborate with ML researchers to translate novel reasoning approaches into production-grade systems Develop infrastructure for training and experimentation with agentic behaviors Integrate agent reasoning capabilities into client-side and backend environments Drive iteration speed by creating reliable tooling for experimentation, prototyping, and deployment Minimum Qualifications
Bachelor’s degree in Computer Science, Machine Learning, or related quantitative field, with 4+ years of relevant industry experience Strong skills in Python (preferred) and at least one other programming language Proven experience in ML engineering, including system design, training pipelines, and deployment workflows Deep understanding of agent-based simulation, agentic RAG systems, and LLM evaluation methodologies Ability to balance long-term platform vision with pragmatic short-term delivery in fast-paced environments Preferred Qualifications
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 MS or PhD in Computer Science, Machine Learning, or a related field At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $147,400 and $272,100, and your pay will depend on your skills, qualifications, experience, and location. Apple employees also have opportunities for stock programs, benefits including medical and dental coverage, retirement plans, discounts, and educational reimbursement. This role might also be eligible for bonuses, commissions, or relocation assistance. Learn more about Apple Benefits. Note: Apple benefit, compensation, and stock programs are subject to eligibility and other terms. Apple is an equal opportunity employer committed to inclusion and diversity. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other protected characteristics. Learn more about your EEO rights as an applicant.
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Sunnyvale, California, United States | Machine Learning and AI Description
We’re seeking a senior ML engineer with strong expertise in large language models and agent-based systems to build the core reasoning and simulation capabilities behind a future platform for agentic voice experiences. You will work on advancing how LLMs plan, adapt, and evaluate actions in realistic environments, contributing to the development of reliable and trustworthy AI agents. Your work will focus on developing robust infrastructure and tooling for training, simulation, and evaluation of agentic LLMs. You’ll design and run experiments in simulated environments, build scalable evaluation pipelines, and help integrate agent behaviors across client and backend systems. This role is an opportunity to push the boundaries of reasoning, adaptive behavior, and platform architecture for agent-based intelligence. You will collaborate closely with ML scientists, applied researchers, and product engineers to transform early research into deployable systems. Together, we will shape a platform that empowers developers and end-users to build rich, voice-driven AI experiences. Responsibilities
Design and implement scalable simulation and evaluation frameworks for LLM-based agents Collaborate with ML researchers to translate novel reasoning approaches into production-grade systems Develop infrastructure for training and experimentation with agentic behaviors Integrate agent reasoning capabilities into client-side and backend environments Drive iteration speed by creating reliable tooling for experimentation, prototyping, and deployment Minimum Qualifications
Bachelor’s degree in Computer Science, Machine Learning, or related quantitative field, with 4+ years of relevant industry experience Strong skills in Python (preferred) and at least one other programming language Proven experience in ML engineering, including system design, training pipelines, and deployment workflows Deep understanding of agent-based simulation, agentic RAG systems, and LLM evaluation methodologies Ability to balance long-term platform vision with pragmatic short-term delivery in fast-paced environments Preferred Qualifications
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 MS or PhD in Computer Science, Machine Learning, or a related field At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $147,400 and $272,100, and your pay will depend on your skills, qualifications, experience, and location. Apple employees also have opportunities for stock programs, benefits including medical and dental coverage, retirement plans, discounts, and educational reimbursement. This role might also be eligible for bonuses, commissions, or relocation assistance. Learn more about Apple Benefits. Note: Apple benefit, compensation, and stock programs are subject to eligibility and other terms. Apple is an equal opportunity employer committed to inclusion and diversity. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other protected characteristics. Learn more about your EEO rights as an applicant.
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