Software Engineer, Machine Learning

There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.

Build and launch excellent productionalized, low-maintenance models.
Build features and success metrics by disambiguating requirements.
Leverage state of the art machine learning techniques for a variety of problems across the company including fraud, feed ranking, recommendations and targeting, blockchain mining.
Setup A/B experiments and iterate until impact is landed.

2+ yrs of industry experience as a machine learning engineer
Experience with at least one ML model: Logistic Regression, Gradient Boosting trees, Deep learning, etc.
Experience with data analysis, feature exploration, ETL, and visualization.
Experience in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.
Experience building backend systems at scale with a focus on data processing/machine learning/analytics.
Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.