Senior Software Engineer - Price Optimization & Bidding

The Trade Desk•Boulder, CO

23d•$137,600 - $206,400•Hybrid

About The Position

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. 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. About the Role: 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 will be responsible for integrating models in our bidding infrastructure, where low latency and high performance are of paramount importance; your code will be running millions of times per second on datacenters across the entire globe. You will be also working on developing and improving debugging and analytical tools for monitoring and adjusting the bidding system in real-time. Utilize these tools to quickly identify and address any issues, improving campaign efficiency and ensuring effective use of budgets and resources. Our Software Engineer team members will 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. You will have the opportunity, depending on your interests and aptitude, to work on 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. Trade Desk Software Engineers contribute to more than our product – they build up our team. Through a combination of mentoring, technical leadership, and/or direct management of small teams, they make others better and raise the bar for those around them.

Requirements

7+ years of demonstrated success in software development within high-scale enterprise environments.
Hands-on experience with multiple platforms and technologies, including: PyTorch, Tensorflow, 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.
Experience in building distributed systems and microservices.
Sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful software projects.
Ability to work from first principles to evaluate solutions and adapt them to a unique environment.
Broadly skilled engineer, accustomed to developing web services.
Experience building always-on systems, working across a variety of technologies and service layers.
Product-focused mindset.
Ability to contribute to the process of discovering what will delight our clients.
Confidence and lack of ego.
Ability to identify and evaluate trade-offs, willingness to be proven wrong, and quick to support teammates.
Value, seek out, and foster diversity.
Creative thinker, not bound by "the way things have always been done".
Ability to learn quickly and innovate.
Ability to invent answers to questions yet to be asked.

Nice To Haves

Exposure to Machine Learning concepts and frameworks

Responsibilities

Enhancing machine learning model development.
Creating tools and frameworks for quicker iteration and refinement of models by data scientists.
Creating ETLs that process petabytes of data.
Experimenting with novel model training architectures.
Integrating models in our bidding infrastructure, where low latency and high performance are of paramount importance.
Developing and improving debugging and analytical tools for monitoring and adjusting the bidding system in real-time.
Utilizing tools to quickly identify and address any issues, improving campaign efficiency and ensuring effective use of budgets and resources.
Participating actively in all aspects of designing, building, and delivering products for our clients.
Working on large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world.
Addressing petabyte-scale data challenges.
Working with machine learning, advanced visualizations, and interactive user interfaces.
Mentoring, providing technical leadership, and/or direct management of small teams.

Benefits

Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents
Retirement benefits such as a 401k plan and company match
Short and long-term disability coverage
Basic life insurance
Well-being benefits
Reimbursement for certain tuition expenses
Parental leave
Sick time of 1 hour per 30 hours worked
Vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter
Around 13 paid holidays per year
Employee Stock Purchase Plan (discounted stock purchase)
Stock-based compensation grants (eligibility for becoming The Trade Desk shareholders)
Variable compensation-based incentives and commissions (depending on the role)