When we say time series, we mean a streaming sequence of tuples each with a timestamp and a floating point value [timestamp, value]; the value arises from a sensor taking a measurement of a real world, physical process at some sample rate, often significantly greater than 1 Hz. We have won grants from the Department of Energy, ARPA-E, and the National Science Foundation. If you have ever wanted to join a startup whose management is primarily technical and who has market traction before the Series A, this is that opportunity.
A Little About You
- You're self directed.
- You're sharp and intellectually curious.
- You're friendly.
- You are persistent.
- You want to improve.
- You enjoy building and creating.
- You are happy and successful working remote.
- Believe in using your powers for good and "growing the pie," instead of trying to get a slightly bigger slice for yourself.
- Team first - we have and will continue to build a zero politics environment.
- Eager to join a small, talented, and like-minded team.
- Excited to collaborate with some of the best and the brightest in the world including the RISELab (the successor to the AMPLab), UC Berkeley, and multiple National Laboratories.
- Appreciates and maximizes the opportunity to work from home.
- Agree with the Python Code of Conduct.
We are looking for a senior systems engineer to work on our time series database and analytics platform. Our ideal person would have strong fundamentals in creating Go microservices using GRPC in a kubernetes environment.
We're looking for someone to help grow our DevOps as we scale the company and onboard new customers. An ideal candidate for this position would have strong Linux/UNIX and networking fundamentals, as well as experience with containerization and container orchestration.
Use your extensive knowledge of Python’s machine learning suite (TensorFlow, scikit-learn, etc) to help our data science team train machine learning models and develop insights on high-resolution time-series data. You will write feature extraction transformers, train models and tune hyperparameters using a visual analytics workflow to produce operational models that run on real-time data streams. We submit pull requests, do code reviews, write docstrings, and consider not only the accuracy of our models but also the efficiency of our code. This position reports directly to the Chief Data Scientist.
We are looking for our first full-time Product Designer to lead the design of the PredictiveGrid™ Analytics Platform. You will design web-based tools and experiences that allow users to understand their time series data at scale through visualization, transformation, and machine learning, allowing the data to tell its story and users to act on it.
Given pull from different verticals for our time series platform, we are building out the sales and business development processes and team at PingThings. You will help build out our sales effort in multiple industrial verticals and online to generate revenue for the business. This position is one where learning is essential - we need to determine what will work best as we sell into different verticals including electric transmission, generation, distribution, renewables and clean tech, oil & gas, manufacturing, and more.
Use your agile process skills to coach agile a small software engineering and data science team working on time-series databases and deep learning projects for the power grid. You will work with world-class engineers, helping them achieve their objectives and build novel software systems in an iterative fashion. Your passion for agile artifacts and attention to detail will ensure that you are a critical part of the design and implementation of new features and components.