Providence Infrastructure Consultants, Inc.
Machine Learning Infrastructure Lead - SIML, ISE
Providence Infrastructure Consultants, Inc., San Diego, California, United States, 92189
Apple
Published 08 Sep 2024Share this job
$166,600-$296,300 annuallyFull TimeRole Highlights
HTMLComputer VisionComputer ScienceOperating SystemsInfrastructureMathematicsStorageTools, Libraries and Frameworks
IOSRestDescription
The organization is focused on building a comprehensive ecosystem for machine learning research and development, enabling the creation of high-quality machine learning-based technologies. The team develops tools to aid in the modeling and collaboration around machine learning models while managing resources needed for these technologies. The role primarily involves resource management, co-designing improvements for resource management strategies in collaboration with senior architects. This collaborative approach impacts multiple engineering organizations within the company.Required Qualifications and Skills
Candidates should possess a Bachelor's or Master's degree in Computer Science or a related field. The role requires experience in engineering management and a capacity to lead infrastructure strategy while addressing the evolving needs of machine learning. Excellent communication and organizational skills are crucial to establish durable processes. Familiarity with machine learning and software automation experience are also highlighted as significant qualifications.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.The company is at the forefront of integrating AI into user experiences, particularly through natural language processing and machine learning to innovate text input and interaction technologies on its platforms. They have developed and implemented advanced generative models for text generation, such as Transformer models, to provide features like auto-correction, sentence level correction, and inline completions. The representation of Apple as a leader in creating seamless input experiences through the exceptional integration of hardware and software, alongside a commitment to privacy, underlines their dedication to leveraging powerful on-device ML. This role offers a chance to contribute to a team that has a significant history and expertise in NLP and ML, impacting users globally across all Apple platforms.
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Published 08 Sep 2024Share this job
$166,600-$296,300 annuallyFull TimeRole Highlights
HTMLComputer VisionComputer ScienceOperating SystemsInfrastructureMathematicsStorageTools, Libraries and Frameworks
IOSRestDescription
The organization is focused on building a comprehensive ecosystem for machine learning research and development, enabling the creation of high-quality machine learning-based technologies. The team develops tools to aid in the modeling and collaboration around machine learning models while managing resources needed for these technologies. The role primarily involves resource management, co-designing improvements for resource management strategies in collaboration with senior architects. This collaborative approach impacts multiple engineering organizations within the company.Required Qualifications and Skills
Candidates should possess a Bachelor's or Master's degree in Computer Science or a related field. The role requires experience in engineering management and a capacity to lead infrastructure strategy while addressing the evolving needs of machine learning. Excellent communication and organizational skills are crucial to establish durable processes. Familiarity with machine learning and software automation experience are also highlighted as significant qualifications.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.The company is at the forefront of integrating AI into user experiences, particularly through natural language processing and machine learning to innovate text input and interaction technologies on its platforms. They have developed and implemented advanced generative models for text generation, such as Transformer models, to provide features like auto-correction, sentence level correction, and inline completions. The representation of Apple as a leader in creating seamless input experiences through the exceptional integration of hardware and software, alongside a commitment to privacy, underlines their dedication to leveraging powerful on-device ML. This role offers a chance to contribute to a team that has a significant history and expertise in NLP and ML, impacting users globally across all Apple platforms.
#J-18808-Ljbffr