【精选SDE岗位】VMware、Uber、Cadent等公司最新职位发布!
- Pursuing or completed university degree in Computer Science or equivalent
- Good knowledge of OOP and any of the following: Java / C++ / Python / Go
- Good understanding of core computer science fundamentals as algorithms, data structures, operating systems, distributed systems, and multi-threaded programming
- Ability to work independently on assignments as well as a part of a distributed team
- Flexibility in learning new programming languages, frameworks, and tool
- Actively pursuing a Masters or Ph.D. program in computer science with a specialization in ML, or in statistics, or in a related field
- Proficiency in Python
- Experience with ML frameworks such as PyTorch and TensorFlow
Preferred Qualifications:
- Enrolled in a Ph.D. program
- Expertise in deep learning, probabilistic machine learning, or statistics
- Programming experience one or more application or systems languages (Go, Python, Ruby, Java, C/C++, etc)
- Proficiency in SQL
- Experience with enterprise infrastructure tools such as Spark, Hive, Kafka, Cassandra, Docker
- Software engineering experience through previous internships, work experience, coding competitions, and/or publications
- Ability to innovate, as shown by software artifacts or publications
- Proven ability to communicate technical knowledge to a business audience
- A rising senior pursuing a bachelor’s degree in Computer Science at a college or university
- Able to commit 40 hours/week from June 7th – August 13th
- Excellent verbal and written communicators
- Self-motivated with a desire to learn from a rapidly growing company
- Confident to take initiative and collaborate with teammates
- Not afraid to speak up and asks for insight or guidance on assigned tasks
- Excellent problem-solving skills
- Familiar with Agile methodologies
- Programming language: C#
- Frameworks: RESTful API Interfaces, .NET Core (3.1.x), Entity Framework, xUnit
- Tools: You'll be working with the latest stuff; Git, Resharper, Visual Studio, Docker, and Amazon Web Services.
- Enrolled in BS/MS/PhD in Computer Science, Engineering or a related discipline
- Strong security background or an interest in software security.
- Strong knowledge of cloud computing stacks : SaaS, PaaS, IaaS
- Strong knowledge of public cloud services platforms including Amazon Web Services (AWS) and Microsoft Azure, with a security mindset.
- Thorough understanding of networking concepts and Internet protocols
- Solid background in Linux and Windows
- Experience in automation and scripting (Python, Java, shell scripts)
- Knowledge of emerging threats, mitigations and security industry trends.
- Self motivated and results oriented with excellent interpersonal and communication skills
- This internship opportunity is based out of San Jose and anticipated to be for up to 12 weeks.
- You are pursuing a PhD, MS, or BS in Computer Science or related field or equivalent experience
- Proven experience working with at least one of the deep learning frameworks and programming languages such as Python, C++
- Previous ROS background and PyTorch experience is a plus
- Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools
Ways to stand out from the crowd:
- Strong self-initiative, interpersonal skills, and resourcefulness with new technology
- Excellent problem solving and partnership
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