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TikTok
San Jose, CA, United States
Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imagin
Job Source: TikTokDiverse Lynx
Sunnyvale, CA, United States
Hello, I ve a position of Client Frameworks Engineer . Location: Sunnyvale, CA Job Description: Data Science with AI and Client Work Keywords: Client, NLP, Python Study and transform data science prototypes Design machine learning systems Research and implement appropriate Client algorithms and tools Develop machine learning applications a
Job Source: Diverse LynxApple, Inc.
Cupertino, CA, United States
Summary Posted: Jun 3, 2024 Role Number: 200553875 Our team is on a mission to bring the latest machine learning techniques to the field of software development. We want to make it easier for our developers to write, build, and test their code. We firmly believe that providing better, more intelligent tools and infrastructure to our developers w
Job Source: Apple, Inc.Fiddler AI
Palo Alto, CA, United States
Our Purpose At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations
Job Source: Fiddler AIApple Inc.
Cupertino, CA, United States
Machine Learning Infrastructure Engineer Software and Services To view your favorites, sign in with your Apple ID. Our team is on a mission to bring the latest machine learning techniques to the field of software development. We want to make it easier for our developers to write, build, and test their code. We firmly believe that providing better
Job Source: Apple Inc.Alation
Redwood City, CA, United States
Due to its remote and hybrid culture, Alation conducts all of its interviewing and onboarding virtually. Big Data isnt a problem. Its an opportunity. At Alation, we help people find, understand, and trust data. So they not only excel in their work they drive value for their enterprise, team, and role. In the words of one customer, Alation makes me
Job Source: AlationMoloco, Inc.
Redwood City, CA, United States
The Impact You’ll Be Contributing to Moloco: Moloco is a Machine Learning Company. A key part of our value proposition are our Machine Learning (ML) models. These models are built and deployed on infrastructure built by the ML-Infrastructure team. As part of the ML-Infrastructure team, you will get an opportunity to build software that will enable
Job Source: Moloco, Inc.Character.ai
Menlo Park, CA, United States
About us Character's mission is to empower everyone with AGI. Our vision is to enable people with our technology so that they can use Character.AI any moment of any day. Character.AI is one of the world's leading personal AI platforms. Founded in 2021 by AI pioneers Noam Shazeer and Daniel De Freitas, Character.AI is a full-stack AI company with
Job Source: Character.aiCupertino, CA, United States
Our team designs and builds innovative and intelligent tools for our developers. You will be able to bring your experience in building and scaling backend systems to our unique problem domains. Your efforts will directly improve the machine learning workflow of both our team as well as a number of partner teams, whose scientists leverage our evaluation infrastructure to guide their experiments. You will be part of a data-driven team, analyzing the friction and cost associated with the scale at which we develop and ship complex software and systems. You will help design, build, and support large-scale model evaluation systems that support today’s models as well as tomorrow’s. You will collaborate closely with other developers to build a sophisticated solution, as well as stakeholders to understand requirements to help adopt your solutions and measure your impact. You will be most successful here as a flexible and proactive engineer who thrives in a supportive, respectful, and balanced work environment with interesting and challenging problems to tackle. You have excellent judgement and integrity with the ability to make timely and sound decisions. You know how to drive constructive technical discussions, learn from your team, and use your experience to advocate and teach others.
In your role as a machine learning infrastructure engineer on our team you will:
Spend most of your time working on data and machine learning systems.
Develop proficiency with and knowledge of the Swift programming language and ecosystem.
Collaborate with your teammates to help understand problems, define requirements and work with teams to implement long-lasting solutions.
Engage with other teams to help identify issues and establish long-term relationships that include knowledge sharing.
Provide valuable feedback loops to model training teams backed by data and metrics.
Develop expertise and be given ownership over components critical to Apple’s success.
Contribute to engineering a high-performance system through architectural design, algorithmic optimization, and performance tuning.
Have access to the engineers who create Apple’s full technology, tools, and operating systems stack.
HERE YOU’LL FIND THAT WE:
Have a wide range of experience, from new engineers to Apple veterans.
Have a number of machine learning industry veterans to help lead and grow members of our team and organization.
Have an encouraging and growth-focused workplace culture.
Encourage you to use accrued vacation time and maintain a healthy work-life balance!
Minimum Qualifications
3+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning/deep learning models.
Understanding of machine learning, deep learning, natural language processing, distributed systems, reliability and scalability, containerization, and cloud platforms.
Ability to efficiently develop, debug, and support new technologies in a changing environment.
Strong problem-solving skills and ability to write production-quality clean code.
Preferred Qualifications
Excellent collaborative skills, with strong written and verbal communication.
Positive and respectful attitude in a diverse environment.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Email Alert for Machine Learning Infrastructure Engineer jobs in Cupertino, CA, United States
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