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Strong experiences with complex corporate environments, including automation, observability (e.g. open source tools grafana, kibana, vector, opensearch, cloudwatch), network (e.g. Cisco, Palo Alto), systems (e.g. Chef, Terraform, Jenkins, Kubernetes), applications, SaaS, Cloud technologies (e.g. AWS, GCP.
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Rotational Software Engineer Meta is seeking talented full-stack Software Engineers who are interested in an opportunity to join our one-year Rotational Engineering Program, helping us build applications & systems that will scale the company and make the world more open and connected.
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3 years of experience as Software Engineer, Systems Engineer, Machine Learning Engineer, or related occupation. Python Experience with open-source machine learning frameworks such as PyTorch or Tensorflow.
$156,500 - $234,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Drive adoption of open source and champion inner sourcing. We are seeking a highly skilled and experienced Software Engineering Lead with a proven record of accomplishment of building frameworks and platforms supporting large scale systems.
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Experience with AUTOSAR (AUTomotive Open System ARchitecture) framework-based systems design using Vector and Automotive Ethernet. Bachelor’s degree in computer science, Mechatronics, Software, Electrical or Computer Engineering, or equivalent experience.
$100,000 - $188,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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To achieve this goal we develop large-scale optimization systems by utilizing a variety of different tools such as mathematical and statistical modeling, auction theory, risk management, and machine learning (deep networks, Bayesian, etc.
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Experience working with autonomous vehicle systems or simulation software. We have multiple Full Stack roles open for all levels of seniority, from mid-level to lead. Design large scalable systems within a team of talented engineers.
$65,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will work closely with product management, developer marketing, technical learning, and engineering teams to drive awareness around technologies such as Kubernetes, Argo, Istio, public cloud, observability and scalable distributed systems.
$45 - $56 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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LPI is committed to using research to transform education systems, advance equity, and help every young person succeed in and out of school. Candidates of all backgrounds are encouraged to apply for open positions.
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LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
$156,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python or related languagePREFERRED QUALIFICATIONS- Experience using Unix/Linux- Experience in professional software development- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)- 3+ years of building machine learning models or developing algorithms for business application experience.
$136,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Inventories, installs, programs, tests, and repairs equipment hardware and systems associated with network and data security, including but not limited to firewalls, intrusion detection systems, and traffic analyzer.
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Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub). Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale, long-duration sensing and machine reasoning.
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The Operator will use a variety of tools that range from access control and alarm monitoring systems to various business intelligence sources, open-source media, Internet, and in-house tools.
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In Farmington Hills, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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