Advanced Machine Learning Engineer
1 day ago
**About The Trade Desk, Inc.**
We are a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising.
Our team is responsible for developing algorithms that run in our real-time bidding platform with the ultimate goal of helping thousands of customers run effective advertising campaigns.
Data scientists on our team work closely with engineering throughout the lifecycle of the product, from ideation to productionalization and monitoring.
As a senior data scientist, you will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients.
We are a team built on a foundation of generosity and openness, and we expect our data scientists to help make others better and raise the bar for those around them.
Key Responsibilities:
- You have a sustained track record of making significant,self-directed, and end-to-end contributions to complex, multi-layered, impactful machine learning projects.
- You think beyond just the task at hand to deeply understand the 'why' behind what you are doing and anticipate problems that may be several degrees removed from obvious requirements.
- You have a strong sense of data intuition and can develop innovative solutions to complex problems.
- You value, seek out, and foster diversity and are skilled at finding and building from common ground.
- You are a creative thinker who can invent answers no one has thought of yet to questions yet to be asked.
- You have an abundance of intellectual curiosity and are enthusiastic to learn (and teach) new technologies / techniques.
- You are comfortable working on an agile, distributed team spanning multiple time zones and continents.
- You are able to communicate effectively across both technical and non-technical audiences.
- Requirements:
- BS/MS with 4+ years or a PhD with 2+ years of experience working in a DS or ML role that involves bringing products from ideation to production.
- Proficient in software engineering concepts like containerization and version control is preferred.
Salary: $120,000 - $180,000 per year.
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