Senior Software Engineer - Machine Learning Operations

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally.

What We Do:

The Trade Desk ML Ops team is focused on providing the necessary infrastructure our data scientists and data engineers need to enable them to move from research to production with machine learning models faster, more safely, and with the highest of quality.  In order to do that, we're building a platform that will provide a standardized set of frameworks and tools at every part of the machine learning development life cycle. This includes giving data scientists the ability to share features across every team and to provide tools to easily deploy, monitor and experiment with their models. On top of this we will also focus on reducing friction for data scientists to build and productionize their own
models end to end.

About the Role:

• The Trade Desk Senior Engineers are best described as an end-to-end owners. You will participate actively in all aspects of product strategy – from designing, building, and delivering products for our clients.
• We have dozens of individual, mission-focused teams working across a wide spectrum of technological challenges. You will have the opportunity, depending on your interests and aptitude, to lead engineers that focus on building large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, and interactive user interfaces – to name a few.
• Senior Software Engineers contribute to more than our product – they help build up our team. Through a combination of mentoring and technical leadership of local teams, you will make others better and raise the bar for those around you.

Who We Are Looking For:

• You are a strong communicator. You’re able to collaborate cross functionally with data scientists and root cause pain points in their workflow.
• You have a passion for improving the efficiency of others. The work you will do in ML Operations will have a big impact on both the data scientists and the data engineers in our organization.
• Experience building large scale data pipelines with spark is a plus.
• Experience building machine learning models is a plus.
• You have a sustained track record of leading engineers with a wide range of experience, while also making significant, self-directed, and end-to-end contributions to large and impactful software projects. You think beyond just the task at hand to deeply understand the 'why' behind what you & your team are doing.
• You are a driver. You will be driving technical projects and providing leadership in a ground-breaking and fast-paced environment. This includes task planning and conducting code reviews, as well as individual code contribution.
• You understand engineering fundamentals. At our scale, many off-the-shelf techniques and existing technologies (open source and enterprise) simply don't work.
• You are able to work from first principles to evaluate solutions and adapt them to a unique environment.
• You are a broadly skilled engineer, accustomed to developing web services. You have experience building always-on systems, working across a variety of technologies and service layers.
• You have a product-focused mindset. You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world’s largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making.
• You work with confidence and without ego. Our engineers have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly-held, defensible ideas, and advocate for what you believe is right. You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow