We are growing fast and actively looking to hire for product and business roles. If you believe in our mission and want to be a part of our journey then send your resume at info@ensembleenergy.ai

Ensemble Energy is an exciting startup in industrial IoT space focused on energy. Our mission is to accelerate the clean energy revolution by making it more competitive using the power of data. Ensemble’s AI enabled SaaS platform provides prescriptive analytics to power plant operators by combining the power of machine learning, big data, and deep domain expertise.  As a Data Engineering Intern, you will be participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms.

Required Skills & Experience:

  • Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.
  • Strong understanding of data engineering principles using big data technologies.
  • Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus.
  • Experience with distributed computing using Hadoop and Spark.
  • Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue.
  • Excellent programming skills in Java, SCALA or Python. Python is preferred.
  • Experience using Tableau for data visualization will be a plus.

Preferred:

  • Ability to stay-on for part-time or full-time as a co-op until May 2020
  • Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)


Apply Now

Ensemble Energy is an exciting startup in industrial IoT space focused on energy. Our mission is to accelerate the clean energy revolution by making it more competitive using the power of data. Ensemble’s AI enabled SaaS platform provides prescriptive analytics to power plant operators by combining the power of machine learning, big data, and deep domain expertise.  As a Full Stack/IOT Intern, you will be participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform.

Required Skills & Experience:

  • React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s
  • Current BS or MS student or recent graduate. CS major is a plus
  • Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design
  • Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus
  • Experience with Elasticsearch/ELK stack a plus
  • Contribute with ideas to overall product strategy and roadmap
  • Self-starter to take ownership of the platform engineering and application development
  • Work on multiple projects simultaneously and get things done. Take products from prototype to production
  • Collaborate with other team members for continuous development

Preferred:

  • Ability to stay-on for part-time or full-time as a co-op until May 2020
  • Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)

Bonus:
If you have worked on one or more below then highlight those projects when applying:

  • Experience with Time Series DB - M3DB, Prometheus, InfluxDB, OpenTSDB, ELK Stack
  • Experience with visualization tools like Tableau, KeplerGL etc.
  • Experience with AWS IoT Core, Greengrass, MQTT or other IoT communication protocols a plus


Apply Now

Ensemble Energy is an exciting startup in industrial IoT space focused on energy. Our mission is to accelerate the clean energy revolution by making it more competitive using the power of data. Ensemble’s AI enabled SaaS platform provides prescriptive analytics to power plant operators by combining the power of machine learning, big data, and deep domain expertise.  As a Data Science Intern, you will be participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms.

Required Skills & Experience:

  • Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.
  • Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application.
  • Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM.
  • Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those.
  • Excellent programming skills in prototyping languages such as Python and R. Python is preferred.
  • Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus.
  • Smart, motivated and can-do attitude is absolute must.
  • Excellent verbal and written communication.


Apply Now

Ensemble Energy is an exciting startup in industrial IoT space focused on energy. Our mission is to accelerate the clean energy revolution by making it more competitive using the power of data. Ensemble’s AI enabled SaaS platform provides prescriptive analytics to power plant operators by combining the power of machine learning, big data, and deep domain expertise. As a Full Stack/IOT Intern, you will be participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform.

Required Skills & Experience:

  • React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s.
  • BS or MS in Computer Science or related field.
  • Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design.
  • Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus
  • Contribute with ideas to overall product strategy and roadmap.
  • Improve codebase with continuous refactoring.
  • Self-starter to take ownership of the platform engineering and application development.
  • Work on multiple projects simultaneously and get things done. Take products from prototype to production.
  • Collaborate with team in Sunnyvale, CA to lead 24x7 product development.

Bonus:
If you have worked on one or more below then highlight those projects when applying:

  • Experience with Time Series DB - M3DB, Prometheus, InfluxDB, OpenTSDB, ELK Stack
  • Experience with visualization tools like Tableau, KeplerGL etc.
  • Experience with MQTT or other IoT communication protocols a plus


Apply Now