Senior Machine Learning Engineer

Burlingame, CA /
Platform – Engineering /
Revolutions on data and technology have greatly transformed the investment process of public securities from heavily human-powered to efficiently automated, and eventually spawned a new trillion-dollar industry: high-frequency trading. Our team holds a strong belief that a similar revolution will happen in venture capital investment as well. Our early results suggest that this approach can irrevocably transform the VC industry. 

Our team is creating innovative software solutions for Goodwater and our portfolio companies. 
We are looking for passionate, hard-working, and talented machine learning engineers to help build our AI-driven data platform for venture capital investment. 

In this position, you will
Design, build, and test pipelines and platforms to streamline the development of machine learning models, tools for profiling and monitoring training and scoring processes, hyper-parameter tuning, model versioning, testing and validation
Work together with data scientists to build high-quality machine learning models and scale up to large volume and production grade
Work in an Agile/Scrum environment to deliver high-quality software

Do these qualities describe you?

Curiosity: You notice patterns and phenomena and ask “why?”. You're hungry to learn the broader context and consequences of your work.
Quantitative and qualitative thinking: You seek out the best available data and explore it to answer “why?”. Your analyses and insights are guided and vetted by your qualitative understanding of consumer behavior and market trends.
Humble and collaborative: You have come to realize that the more knowledge you gain, the less you actually know, and that pushes you to continually seek knowledge from others. You are also eager to share your knowledge and insights with others.
Entrepreneurial: You're comfortable with moving fast and adapting to fluid roadmaps and priorities. You aren't afraid of failure and look for creative solutions to overcome challenges.

If this sounds like you, here are some qualifications we're looking for:


    • 5+ years of professional machine learning experience 
    • Experience building large-scale machine learning pipelines, using Kubeflow, Google Cloud ML, AWS Sagemaker, Microsoft Azure ML, Spark MLflow, or others
    • Experience implementing machine learning models using Scikit-learn, TensorFlow, Keras, Spark MLlib, PyTorch, MXNet, CNTK, or other libraries
    • Proficiency in one or more of programming languages: Python, Java, Scala, Go, C++, etc...
    • Fluency in SQL optimization, Jupyter Notebooks 


    • Experience with text mining or natural language processing
    • Experience with time series analysis and forecasting
    • Worked in a startup, incubator environment where moving fast and developing iteratively is standard
About Goodwater Capital

Goodwater Capital's mission is to empower exceptional entrepreneurs who are changing the world. We are 100% focused on early-stage consumer tech, an area that we define simply as apps and services adopted directly by consumers. Goodwater is founded on the belief that we are experiencing an explosion of new consumer-driven opportunities in communications, community, and commerce. We are excited to see great entrepreneurs pioneering powerful new platforms to serve consumers across a broad range of industries including local services, marketplaces, health care, education, financial services, and wearables… just to name a few. Goodwater is focused on Series A and Series B consumer tech investments and our chief investment criteria is simple — a product or service that early customers LOVE. Goodwater was founded in 2014 and managing over $700M across three venture capital funds. We are actively investing and building a growing portfolio of exciting consumer audience, commerce, and service companies.