Were seeking research engineers to build infrastructure for breakthrough innovations in AI agents reinforcement learning and simulation environments. You will design and implement high-quality data pipelines simulation systems and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.
We are a team of best-in-the-world research scientists and engineers building the foundations for autonomous AI systems. We work on exciting new technologies that bring joy to millions of our daily work the team stays innovative productive and fun by sharing some key values:
Passion for the mission: Were here to make something extraordinary. We seek whatever work is right and strive for the best possible : The right answer is more significant than being right. We search for solutions as a team and value clear-eyed habits: You cant grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.
5 years of ML engineering experience building and maintaining data-intensive systems - including feature pipelines training infrastructure model serving or evaluation software engineering skills in complex systems - Fluency in Python. You deliver clean well-tested -on experience with distributed ML systems - CI/CD at scale distributed testing or ML evaluation quantitative and data skills - comfortable with SQL statistical reasoning and translating ambiguous signals into clear actionable track record shipping ML systems end-to-end - from problem framing and data curation through training evaluation deployment and monitoring in production.
Bachelors or Masters Degree in Computer Science Engineering Math or Physics from a strong program.n2 years at a company building AI products or agent with job orchestration frameworks (Airflow Prefect Ray etc.).nFamiliarity with macOS/iOS development personal interest in AI agentsyoure already experimenting on your own time.
Required Experience:
IC
Were seeking research engineers to build infrastructure for breakthrough innovations in AI agents reinforcement learning and simulation environments. You will design and implement high-quality data pipelines simulation systems and tooling that enable cutting-edge agent research. You will work in an ...
Were seeking research engineers to build infrastructure for breakthrough innovations in AI agents reinforcement learning and simulation environments. You will design and implement high-quality data pipelines simulation systems and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.
We are a team of best-in-the-world research scientists and engineers building the foundations for autonomous AI systems. We work on exciting new technologies that bring joy to millions of our daily work the team stays innovative productive and fun by sharing some key values:
Passion for the mission: Were here to make something extraordinary. We seek whatever work is right and strive for the best possible : The right answer is more significant than being right. We search for solutions as a team and value clear-eyed habits: You cant grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.
5 years of ML engineering experience building and maintaining data-intensive systems - including feature pipelines training infrastructure model serving or evaluation software engineering skills in complex systems - Fluency in Python. You deliver clean well-tested -on experience with distributed ML systems - CI/CD at scale distributed testing or ML evaluation quantitative and data skills - comfortable with SQL statistical reasoning and translating ambiguous signals into clear actionable track record shipping ML systems end-to-end - from problem framing and data curation through training evaluation deployment and monitoring in production.
Bachelors or Masters Degree in Computer Science Engineering Math or Physics from a strong program.n2 years at a company building AI products or agent with job orchestration frameworks (Airflow Prefect Ray etc.).nFamiliarity with macOS/iOS development personal interest in AI agentsyoure already experimenting on your own time.
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar
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