
location_on602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States
At Apple, we believe extraordinary products are built through deep understanding, rigorous analysis, and relentless focus on quality. We are committed to creating intelligent systems that enhance the customer experience at scale.
In this highly visible technical role, you will define how algorithm quality is measured, understood, and improved. As a Data Scientist focused on Algorithm Evaluation, you will serve as a technical leader responsible for driving end-to-end evaluation strategy for complex algorithmic systems. You will work at the intersection of machine learning, data science, and product quality, influencing critical decisions through data-driven insights and technical leadership.
You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation teams, and cross-functional partners to shape evaluation strategy and improve the robustness, reliability, and customer experience of intelligent systems. A key part of this role involves identifying opportunities to leverage agentic systems and AI-assisted workflows to improve efficiency, scalability, and technical depth in evaluation and analysis. You will help shape how these agentic solutions and AI-assisted tooling are integrated into day-to-day workflows to accelerate data analysis, failure investigation, annotation quality improvement, root-cause discovery, and evaluation automation.
Candidates selected for this role will undergo a rigorous interview process designed to assess technical depth, analytical rigor, and the ability to influence cross-functional teams in highly ambiguous environments. The process typically includes:
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to hire and employ qualified individuals from all backgrounds. We consider qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Work model: On-site
602, Santa Catalina Terrace, Sunnyvale, Santa Clara County, California, 94085, United States
Sunnyvale, California
Experience evaluating machine learning, computer vision, multimodal, or foundation model systems in production environments. Experience designing or deploying agentic workflows to improve engineering productivity, data analysis, evaluation efficiency, or annotation quality. Familiarity with LLM-based systems, retrieval pipelines, structured reasoning, or AI-assisted analytics frameworks. Experience defining quality frameworks and evaluation methodologies for large-scale intelligent systems. Experience building automated benchmarking systems and large-scale performance monitoring infrastructure. Knowledge of A/B experimentation, causal inference, and advanced statistical modeling. Strong understanding of the ML lifecycle, model validation, and continuous evaluation methodologies. Excellent communication skills with proven ability to influence technical decisions through data-driven insights.
Apple operates within the computers and electronics manufacturing industry, headquartered in Cupertino, California. The organization functions as a collective of thinkers and doers focused on reimagining possibilities to enable individuals to pursue their passions in new ways. This approach to innovation extends beyond product development to internal practices, reflecting a commitment to environmental stewardship and leaving the world better than it was found. The company emphasizes that work within its structure can create a tangible difference in people's lives, including those of its employees.
Apple maintains a policy as an equal opportunity employer, demonstrating a dedicated commitment to inclusion and diversity across its workforce. The organization provides information regarding career opportunities and its diversity initiatives through its official careers website. While the specific product lineup is not detailed in the provided source, the company's core activity centers on manufacturing computers and electronics while integrating social responsibility into its operational model.
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