Staff Software Engineer, Content Discovery & Personalization

The Trade Desk; Denver (CO); On-site; USD 137,000 - 252,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Disability insurance

Life insurance

Tuition reimbursement

Parental leave

Vacation up to 120 hours/year

Around 13 paid holidays

Job summary

The Trade Desk is seeking a Staff Software Engineer to own end-to-end content discovery and search systems within our Ventura TV OS cloud services. You will design, implement, and optimize discovery and personalization features across a large content catalog.

You will collaborate with cross-functional teams to ensure fast, relevant results, applying distributed processing and ML concepts at scale. Strong emphasis on leadership and principled decision-making in a complex, data-driven environment.

Qualifications

• Experience with large software projects and end-to-end ownership.
• Ability to reason from first principles and adapt solutions to complex environments.
• Experience with distributed data processing, indexing, and ML model deployment.

Responsibilities

• Design, implement, and optimize content discovery and search within Ventura TV OS cloud services.
• Partner with application teams to design scalable content discovery and search features.
• Build and manage high-performance, low-latency search systems for large content catalogs.

Skills

Content discovery

Personalization

Search systems

Distributed processing

ML inference

Retrieval ranking

Recommendation systems

Spark

Databricks

Tools

OpenSearch

Elasticsearch

Apache Spark

Databricks

Job description

The Trade Desk is seeking a Staff Software Engineer to own end-to-end content discovery and search systems within our Ventura TV OS cloud services. You will design, implement, and optimize discovery and personalization features across a large content catalog.

You will collaborate with cross-functional teams to ensure fast, relevant results, applying distributed processing and ML concepts at scale. Strong emphasis on leadership and principled decision-making in a complex, data-driven environment.