Happy Elements
Full Stack Engineer San Francisco
Happy Elements, San Francisco, California, United States, 94199
Location:
San Francisco, USA Schedule:
full time
What is a Stack? The stack is the set of technologies needed to make an end-to-end product or solution. What is a Full Stack Engineer? A full stack engineer works with both the front end–the user end–and the back end–or database side– of a website or application. They tackle projects including user-facing websites, databases, applications and work on projects from planning through delivery. What are the responsibilities of a Full Stack Engineer? As a full stack engineer at Happy Elements, you will: Design and build the data science platform that enables data scientists and machine learning engineers with the ability to build, train, validate and deploy machine learning (ML) models quickly; Build components to support machine learning modeling and build data integration and data preprocessing pipelines from tens of data sources for use in data science and machines learning models; Leverage modern tools and frameworks to improve the performance of data science services and optimize the workflow efficiency and quality of modeling; Participate in and contribute to the full project lifecycle system design, implementation, testing, and deployment; Follow standard software development methodologies and SDLC practices to efficiently produce high quality applications; Participate in estimating assigned work effort and be accountable for completion dates; Document code so other engineers can reuse and support components in the future; Improve the performance and scalability of data science services. To be eligible for consideration at Happy Elements, your qualifications must include: MS in Computer Science, Statistics, Engineering or other relevant field with equivalent technical experience; 2+ years of experience working in a software engineering-related role; A curious mind and the ability to translate complex requirements and technical challenges into solid implementations; Strong object-oriented programming and design skills in Python or Java; Hands-on experience with big-data technologies such as SQL, Hive, Hadoop and Spark; Experience with–or a strong desire to learn–statistical modeling and machine learning techniques; Excellent communication skills with meticulous attention to detail; Experience in data science packages and tools is a plus.
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San Francisco, USA Schedule:
full time
What is a Stack? The stack is the set of technologies needed to make an end-to-end product or solution. What is a Full Stack Engineer? A full stack engineer works with both the front end–the user end–and the back end–or database side– of a website or application. They tackle projects including user-facing websites, databases, applications and work on projects from planning through delivery. What are the responsibilities of a Full Stack Engineer? As a full stack engineer at Happy Elements, you will: Design and build the data science platform that enables data scientists and machine learning engineers with the ability to build, train, validate and deploy machine learning (ML) models quickly; Build components to support machine learning modeling and build data integration and data preprocessing pipelines from tens of data sources for use in data science and machines learning models; Leverage modern tools and frameworks to improve the performance of data science services and optimize the workflow efficiency and quality of modeling; Participate in and contribute to the full project lifecycle system design, implementation, testing, and deployment; Follow standard software development methodologies and SDLC practices to efficiently produce high quality applications; Participate in estimating assigned work effort and be accountable for completion dates; Document code so other engineers can reuse and support components in the future; Improve the performance and scalability of data science services. To be eligible for consideration at Happy Elements, your qualifications must include: MS in Computer Science, Statistics, Engineering or other relevant field with equivalent technical experience; 2+ years of experience working in a software engineering-related role; A curious mind and the ability to translate complex requirements and technical challenges into solid implementations; Strong object-oriented programming and design skills in Python or Java; Hands-on experience with big-data technologies such as SQL, Hive, Hadoop and Spark; Experience with–or a strong desire to learn–statistical modeling and machine learning techniques; Excellent communication skills with meticulous attention to detail; Experience in data science packages and tools is a plus.
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