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Ceribell │ Point-of-Care EEG
Sunnyvale, CA, United States
About Ceribell Ceribell produces the world’s first brain monitor for point-of-care seizure triage and treatment. Our groundbreaking technology enables healthcare providers to test for a suspected seizure and then deliver treatments within minutes. We are a rapidly growing venture capital-backed medical technology startup. Ceribell is being used i
Job Source: Ceribell │ Point-of-Care EEGNiantic
Sunnyvale, CA, United States
Niantic’s Engineering Team seeks a Software Engineer specialized in Machine Learning Engineering to build platforms that empower engineers and researchers to create innovative user experiences with the emerging Generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale
Job Source: NianticCelonis
Palo Alto, CA, United States
The Team Celonis AI Group (CeloAI) is a newly formed organization within Celonis that is dedicated to developing state-of-the-art AI/ML (and broadly intelligent) technologies for Celonis products (e.g., the Execution Management System / EMS) and empower enterprises and institutions to make intelligent business decisions and achieve operational exce
Job Source: CelonisGroq
Mountain View, CA, United States
At Groq. We believe in an AI economy powered by human agency. We envision a world where AI is accessible to all, a world that demands processing power that is better, faster, and more affordable than is available today. AI applications are currently constrained by the limitations of the Graphics Processing Unit (GPU), a technology originally develo
Job Source: GroqMETA
Menlo Park, CA, United States
Summary: Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving bey
Job Source: METANewsBreak
Mountain View, CA, United States
About NewsBreak NewsBreak is redefining the way users interact with local news and their communities. By bridging local users, local content creators, and local businesses, our mission is to foster safer, more vibrant, and authentically connected lives. Through robust collaborations with thousands of local publishers and businesses across the nati
Job Source: NewsBreakApplied Intuition
Mountain View, CA, United States
About Applied Intuition Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition provides a simulation and validation platform for various industries such as automotive, trucking, construction, and more. 18 of the top 20 global automakers rely on A
Job Source: Applied IntuitionApple, Inc.
Sunnyvale, CA, United States
Summary Posted: Jun 21, 2024 Role Number: 200540712 The Video Computer Vision org is a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We balance research and product to deliver Apple quality, state-of-the-art exper
Job Source: Apple, Inc.Sunnyvale, CA, United States
Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world's leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team
Minimum Qualifications
7+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD
6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field
Experience with scripting languages such as Python, Javascript or Hack
Experience leading major initiatives successfully
Experience building and shipping high quality work and achieving high reliability
Experience with developing machine learning models at scale from inception to business impact
Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
Masters degree or PhD in Computer Science or a related technical field
Exposure to architectural patterns of large scale software applications
Experience with scripting languages such as Pytorch and TF
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Email Alert for Software Engineer, Machine Learning jobs in Sunnyvale, CA, United States
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