Lead Data Scientist for Connected TV Advertising

3 weeks ago


Austin, Texas, United States MNTN Full time

At MNTN, our team members are at the forefront of shaping our company culture defined by trust, ambition, quality, radical honesty, and compassionate leadership. This unique environment allows us to push boundaries in bringing unrivaled performance and simplicity to Connected TV advertising.

We pride ourselves on making running TV ads as easy as search and social through our self-serve technology, enabling brands to drive measurable conversions, revenue, site visits, and more. This achievement led to MNTN being named one of Fast Company's Most Innovative Companies in 2023.

As a Senior Machine Learning Engineer on our ML Squad, you will ideate, train, test, deploy, evaluate, and monitor matching systems in a large-scale production environment to maximize advertiser goals while respecting consumer privacy. You will work closely with data science, software engineers, product managers, infrastructure teams, and data teams to create cutting-edge solutions.

The ideal candidate will have 5+ years of experience in real-world problem-solving related to developing and using machine learning models on large-scale data. Advanced degrees may be substituted for some years of experience. Relevant skills include proficiency in SQL, Python, Spark, R, or similar languages, as well as experience in machine learning libraries and platforms such as scikit-learn, TensorFlow, SageMaker, or similar.

Our Senior Machine Learning Engineer will also possess strong written and verbal communication skills to convey complex technical topics to various audiences. This role offers a competitive salary of $150,000-$200,000 per year, flexible vacation policy, annual vacation allowance for travel-related expenses, three-day weekend every month, 100% healthcare coverage, 401k plan, Flexible Spending Account (FSA), access to coaching, therapy, and professional development, and the opportunity to work from home anywhere in the U.S.



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