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Machine Learning Engineer/Technical Lead
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Power Validation Lead Engineer
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Power Validation Lead Engineer
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Google Sunnyvale, CA, United StatesMinimum qualifications:Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management.5 years of experience in fleet operations and systems reliability.Preferred qualifications:5 years of experience managing cross-functiona ...
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Google Sunnyvale, CA, United StatesMinimum 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).3 years of experience in a technical leadership role; overseeing projects, with 2 years of ...
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Sr Director Manufacturing
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Google Sunnyvale, CA, United StatesMinimum qualifications:Bachelor's degree in a technical field, or equivalent practical experience. 3 years of experience in New Product Introduction (NPI) and manufacturing.2 years of experience in program management.Preferred qualifications:3 years of experience in program manag ...
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Google Sunnyvale, CA, United StatesMinimum qualifications:Bachelor's degree in a relevant field, or equivalent practical experience.5 years of experience in program management.Experience managing programs and processes across distributed systems.Preferred qualifications:Master's degree, PhD, further education or e ...
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Data Center Electrical Design Program Manager
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Data Center Electrical Design Program Manager
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Google Sunnyvale, CA, United StatesMinimum qualifications:Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.10 years of experience in a technical sales engineer role in a cloud computing environment or customer-facing role.Experience in traditional data center arc ...
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Google Sunnyvale, CA, United StatesMinimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience.Digital design experience using SystemVerilog RTLPreferred qualifications:3 years of experience in digital design using SystemVerilog or RTL.Experience wit ...
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Google Sunnyvale, CA, United StatesMinimum qualifications:Bachelor's degree in Electrical/Industrial/Mechanical Engineering or equivalent practical experience.10 years of experience in reliability engineering of cloud infrastructure hardware and technology, dealing with failure analysis and fault isolation techniq ...
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Mechanical Manufacturing Engineering Manager
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VP Engineering
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Director/Sr Director, PIC Development Leader
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Manager Mechanical Engineering 2
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Northrop Grumman Corp. (AU) Sunnyvale, CA, United StatesAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advanc ...
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Software Engineer, Server/Backend
3 weeks ago
Niantic Sunnyvale, CA, United StatesNiantic's mission is to use emerging technology to enrich our experiences as human beings in the physical world. We build products that inspire movement, exploration, and face-to-face social interaction. Niantic is seeking a Software Engineer - Server to build the server infrastr ...
Machine Learning Engineer/Technical Lead - Sunnyvale, CA, United States - FEDML
3 weeks ago
Description
Participate in the development of MLOps/AIOps machine learning platform and open source communitiesResponsible for feature development, algorithm optimization of the platform, improving user experience and usability through cutting-edge or mature technologies
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback
Bachelor's degree or equivalent practical experience in computer science or related areas.
2 years of experience with software development in one or more programming languages (Python, Java, JavaScript, C/C++), or 1 year of experience with an advanced degree
2 years of experience with data structures or algorithms in either an academic or industry setting
Good communication and writing skills in English environment
Proficient in Python language, familiar with typical deep learning frameworks (TensorFlow/PyTorch) and models such as CNN, Transformer, GBDT, LR, etc.
Experience in developing MLOps features, including workflow orchestration, model training, model serving, monitoring/observability, versioning of data, code, model, data pipeline, logging, etc.
Familiar with communication backends (MPI, NCCL, RPC, MQTT), GPU CUDA, and other core modules of deep learning frameworks, those who have participated in the development of specific modules of famous deep learning frameworks are preferredExperience with federated learning, distributed training on large-scale model is preferred
Combine the platform and the open source library to improve the training efficiency of deep learning end-to-end through task scheduling, elastic disaster recovery, performance optimization and other measures, involving K8S/KubeFlow, network optimization, and distributed training
empowers our clients to build & scale any machine learning or artificial intelligence models anywhere. That includes the latest foundation models as well as more traditional ML models. Our products cover both training, serving with a low-code UI MLOPs & LLMOps platform. We also offer a Federated Machine Learning solution for cross-silo training for data privacy sensitive applications.
Our earliest products power federated machine learning missions for clients in several industries, where data privacy, low latency serving, and low cost of data storage are important to the client.
Our easy-to-use FedML MLOps solution enables data science and machine learning engineering to work seamlessly together to deploy & manage their model to production machines.
Our next generation of solutions includes geo-distributed machine learning and serving that continues our tradition of delivering easy-to-use, simple, low-cost, and enterprise grade MLOPs solutions.
Our MLOps and evolving LLMOps platform will always empower experimentation, observability, evaluation, governance, and collaboration for our clients' AI & ML training and serving needs, as well as other general computing needs.
FedML supports vertical solutions across a broad range of industries (healthcare, finance, insurance, automotive, advertising, smart cities, IoT etc,) and applications (computer vision, natural language processing, data mining, and time-series forecasting).
Its core technology is backed by more than 3 years of cutting-edge research of its co-founders who are recognized leaders in the federated machine learning community.
FedML's researchers and software engineers and product teams are busy developing the next-generation FedML platform for machine learning and artificial intelligence and we're looking to grow our team with skilled professionals who bring fresh ideas from all areas, including machine learning and its applications, computer vision, natural language processing, large-scale system design, distributed/cloud computing/systems, MLOps, security/privacy, mobile/IoT systems, and networking.
We're an early stage startup, hence you will work on projects which are critical to our customers' and our business needs.
If you love to learn, and love to convert ideas into real and scalable machine learning infrastructure products and applications, FedML may be a great place for you.
Preference is for someone local who can be at our office regularly.
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