Bitcoin.com's mission is to create more 'economic freedom' in the world. By economic freedom we mean the ability for individuals to freely acquire and use personal resources however they choose. We assert that economic freedom is a fundamental human right and a vital component of human dignity, and we believe that it is foundational for peaceful and prosperous societies.
Our vision is to provide the next billion people with access to products that exemplify the ideals of Bitcoin. These ideals - which include peer-to-peer transactions, decentralization, censorship resistance, and permissionless-ness - support economic freedom.
Our approach is to develop and promote widely accessible products that support economic freedom. For example, our digital wallet - which has 30 million downloads - provides people with an easy-to-use, non-custodial method for buying, selling, storing, sending, receiving, and trading cryptocurrencies.
We are seeking a talented Data Engineer who shares our vision. We're in search of a skilled Data Engineer to join our team as one of the pioneering members at our newly established engineering office in Dallas, United States.
Responsibilities:
- Responsible for the design, development, launch, and operation of data pipelines and productionized machine learning applications, including but not limited to adding intelligence to notifications and emails, A/B testing, blockchain indexing, recommendations and targeting.
- Solve real-world problems using machine learning that can improve models by not only experimental metrics but also business goals.
- Work closely with global teams to implement new applications that enhance the user experience and track their long-term impact.
- Interact with our APAC partners (5-8 PM in Dallas, 8-11 AM Japan time) as part of this role's vibrant responsibilities
- Regular commuting to the central office 4 times a week is essential for team cohesion and collaborations as a brand new office
Core Competencies:
- Experience with Python and/or other programming languages.
- Experience with data analysis, feature exploration, and ETL.
- Basic knowledge of infrastructure as code (TerraForm)
- Solid experience from inception to business impact, good communication and teamwork skills in cross-functional teams.
- Knowledge of secure development practices
Nice to have:
- Cryptocurrency or financial industry experience.
- Experience with one or more of the following: personalized feeds, recommendation systems, advertising platforms, or other machine learning products.
- Experience with front-end machine learning implementations (e.g. front-end A/B testing, TensorFlow Lite, TensorFlow.js).
- Good understanding of machine learning and deep learning, experience of building and maintaining production machine learning systems and/or pipelines.
- Ability to deploy and scale machine learning solutions using using popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker).
- Enjoy the 0-to-1 experience and an iterative development approach.
- Willingness to learn new skills.