Apple Inc.
Senior Applied ML Scientist, Generative AI
Seattle, Washington, United States Software and Services Description
In this role, you will help us develop an innovative, AI-driven evaluation ecosystem to accelerate and empower AI development at Apple. Working at the intersection of applied research, ML & GenAI engineering, and tool development, you will champion principles of iterative experimentation, innovation, and enablement. Your work will span the full development lifecycle—from prototyping new ideas to designing and deploying reliable, production-grade systems. You will solve fundamental problems in AI evaluation, such as developing innovative LLM-judges, automating error analysis, creating methods for validation data, and optimizing human-AI collaboration, all while pushing the boundaries of core AI capabilities. Minimum Qualifications
Strong foundation in machine learning fundamentals with the ability to tackle sophisticated ML challenges. Experience or proven curiosity about designing and implementing AI-driven evaluation approaches (e.g., LLM-as-a-judge, automated evaluation). Proven ability to develop high-impact language model systems for real-world applications. Expertise in GenAI, LLM, and/or NLP/NLU evaluation. Ability to identify research directions, rapidly prototype solutions, and drive them to practical impact. Strong proficiency in Python. Proficiency in PyTorch, TensorFlow, or Jax. Excellent communication skills for engaging diverse collaborators. Experience with MLOps standards, including containerization, orchestration (e.g., Kubernetes), and CI/CD. 5+ years with a Master's degree, 3+ years with a PhD, or equivalent practical experience. Preferred Qualifications
Experience developing and owning high-impact, developer-facing systems and tools. Experience evaluating sophisticated agentic systems using LLMs. Experience with training strategies such as continued pre-training, supervised fine-tuning, and reinforcement learning to adapt and align LLMs. Expertise in uncertainty estimation, calibration, active learning, or related areas. Experience with ML platform design or ownership. Hands-on experience with large-scale data processing frameworks like Spark, PySpark, Dask, or Ray. Contributions to open-source ML projects or publications in top-tier ML conferences (e.g., NeurIPS, ICML, ACL). Note: The salary range for this role is between $201,300 and $302,200, depending on skills, qualifications, experience, and location. Apple offers comprehensive benefits, stock programs, and opportunities for educational reimbursement and bonuses. Apple is an equal opportunity employer committed to diversity and inclusion.
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Seattle, Washington, United States Software and Services Description
In this role, you will help us develop an innovative, AI-driven evaluation ecosystem to accelerate and empower AI development at Apple. Working at the intersection of applied research, ML & GenAI engineering, and tool development, you will champion principles of iterative experimentation, innovation, and enablement. Your work will span the full development lifecycle—from prototyping new ideas to designing and deploying reliable, production-grade systems. You will solve fundamental problems in AI evaluation, such as developing innovative LLM-judges, automating error analysis, creating methods for validation data, and optimizing human-AI collaboration, all while pushing the boundaries of core AI capabilities. Minimum Qualifications
Strong foundation in machine learning fundamentals with the ability to tackle sophisticated ML challenges. Experience or proven curiosity about designing and implementing AI-driven evaluation approaches (e.g., LLM-as-a-judge, automated evaluation). Proven ability to develop high-impact language model systems for real-world applications. Expertise in GenAI, LLM, and/or NLP/NLU evaluation. Ability to identify research directions, rapidly prototype solutions, and drive them to practical impact. Strong proficiency in Python. Proficiency in PyTorch, TensorFlow, or Jax. Excellent communication skills for engaging diverse collaborators. Experience with MLOps standards, including containerization, orchestration (e.g., Kubernetes), and CI/CD. 5+ years with a Master's degree, 3+ years with a PhD, or equivalent practical experience. Preferred Qualifications
Experience developing and owning high-impact, developer-facing systems and tools. Experience evaluating sophisticated agentic systems using LLMs. Experience with training strategies such as continued pre-training, supervised fine-tuning, and reinforcement learning to adapt and align LLMs. Expertise in uncertainty estimation, calibration, active learning, or related areas. Experience with ML platform design or ownership. Hands-on experience with large-scale data processing frameworks like Spark, PySpark, Dask, or Ray. Contributions to open-source ML projects or publications in top-tier ML conferences (e.g., NeurIPS, ICML, ACL). Note: The salary range for this role is between $201,300 and $302,200, depending on skills, qualifications, experience, and location. Apple offers comprehensive benefits, stock programs, and opportunities for educational reimbursement and bonuses. Apple is an equal opportunity employer committed to diversity and inclusion.
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