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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.aiMoloco, 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.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: TikTokLatitude AI
Palo Alto, CA, United States
Latitude AI (lat.ai) is an automated driving technology company developing a hands-free, eyes-off driver assist system for next-generation Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, you'll work
Job Source: Latitude AIWaymo
Mountain View, CA, United States
Senior Machine Learning Engineer, Runtime & Optimization Mountain View, California, United States Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to imp
Job Source: WaymoDiverse 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 LynxMountain View, CA, United States
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in C++ and embedded systems. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 2 years of experience with software frameworks for mob
Job Source: GoogleFiddler 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 AISunnyvale, CA, United States
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, Javascript).
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing).
3 years of experience with low-level programming.
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
5 years of experience working in a complex, matrixed organization.
Experienced with low-level programming.
Understanding of advanced Machine Learning development, with the ability to work full-stack from API design to programming languages, runtimes, compilers, and advanced hardware.
About The Job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Machine Learning Infrastructure Runtime and API (MIRA)’s mission is to accelerate Machine Learning (ML) for Google and the world by building a modular and scalable ML infrastructure to enable users to develop and execute ML programs seamlessly across frameworks and heterogeneous hardware with performance, usability, and extensibility. We are building the ML infrastructure between the frameworks and hardware as a platform, an operating system for ML programs.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
Maintain a cross-stack, co-design approach to support Google’s diverse ML ecosystem needs, minimizing use-case specific code paths and turn down investments in maintenance of such fragmented efforts in the current stack.
Support large-model scale-out training through horizontal scaling.
Migrate existing frameworks (e.g., TensorFlow, JAX, PyTorch) runtimes (e.g., TFExecutor, TFRT, PJRT) and product area custom workflows onto MIRA, minimizing any user disruption.
Enable integration with open-source components (with frameworks, compilers) in OSS.
Partner with other Core Machine Learning functional areas and Google DeepMind to continuously bring exceptional runtime capabilities to our product areas (e.g., Youtube, Search, etc.).
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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Email Alert for Software Engineer, Machine Learning, Infrastructure Runtime and API jobs in Sunnyvale, CA, United States
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