Software Engineer II - Price Optimization & Bidding

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.

The Performance Automation team is dedicated to developing optimization tools that enhance our clients' advertising campaign outcomes, ensuring they meet or surpass their Key Performance Indicators (KPIs).

You will be working on enhancing machine learning model development, creating the tools and frameworks that allow for quicker iteration and refinement of models by data scientists. From creating ETLs that process petabytes of data to experimenting with novel model training architectures, you’ll handle the entire pipeline. You will be responsible for integrating models into our bidding infrastructure, where low latency and high performance are paramount;

your code will run millions of times per second

Knight.

Our Software Engineer II team members participate actively in all aspects of designing, building, and delivering products for our clients.

We have dozens of mission‑focused teams working across a wide spectrum of technological challenges. Depending on your duging, you can work on large‑scale distributed systems coordinating thousands of servers in cloud and physical data centers worldwide, petabyte‑scale data challenges, machine learning, advanced visualizations, and interactive user interfaces.

Trade Desk Software Engineers contribute to more than just our product—they build the team. Through a combination of mentoring, technical leadership, and/or direct management of small teams, they elevate everyone’s performance.

• 5+ years of demonstrated success in software development within high‑scale enterprise environments.
• Hands‑on experience with multiple platforms and technologies, including:
  PyTorch, Tensor Flow, Spark, .NET Core, Java, SQL Server, Docker, Kubernetes, AWS, Azure
• Excellent understanding of Agile development methodology and development practices
• Understanding of designing Service‑Oriented systems.
• Exposure to Machine Learning concepts and frameworks (a plus, but not required).
• Experience in building distributed systems and microservices.

• You have a sustained track record of making significant, self‑directed, and end‑to‑end contributions to large and impactful software projects. You think beyond the immediate task to deeply understand the ‘why’ behind what you are doing.
• You understand engineering fundamentals. Many off‑the‑shelf techniques and existing technologies do not work at our scale, so you must be able to work from first principles to evaluate and adapt solutions to a unique environment.
• You mba 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, bringing passion and ability to discover what will delight our clients and push forward one of the world’s largest and most influential industries toward openness, transparency, and evidence‑based decision‑making.
• You work with confidence and without ego. Engineers at The Trade Desk exercise a high degree of leadership in their daily work. You hold defensible ideas, advocate for what you believe is right, are adept at evaluating trade‑offs, willing to be proven wrong, and quick to step…