Machine Learning Engineer

At MNTN, we’ve built a culture based on quality, trust, ambition, and accountability – but most importantly, we really enjoy working here. We pride ourselves on our self-service platform, originally coded by our President and CEO, and are constantly seeking to improve the user experience for our customers and scale for efficiency. Our startup spirit powers our growth mindset and supports our teammates as they build the future of ConnectedTV. We’re looking for people who naturally want to do more, own more, and make an impact in their careers – and we’re seeking someone to be part of our next stage of growth.

As a Machine Learning Engineer on our Attribution team, 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. As a core contributor to how we best match ads, you will work with data science, software engineers, product managers, infrastructure teams, and data teams. Relevant experience includes propensity modeling, ranking, predictive modeling, spam detection, clustering, segmentation, and similar.

What You’ll Do:

• Use MNTN proprietary and third party data sources to conceive and lead machine learning projects that maximize goals for advertising marketers while protecting consumer privacy.
• Be a hands-on builder of needed components in software and infrastructure.
• Become the end to end expert on matching ad opportunities to potential audiences in an ambiguous and privacy-focused ecosphere.
• Identify opportunities and gaps in data and insights for both internal and external stakeholders.
• Work with product and engineering teams to create and evaluate your model designs.
• Lead discussions with other technical and non-technical functions.
• Investigate critical incidents and provide insights to data ambiguity.

What You’ll Bring:

• 1-3 years of experience of real-world problem solving related to developing and using machine learning models on large scale data. Advanced degrees in Computer Science, Mathematics, Electrical Engineering, Statistics or similar may be substituted for some years of experience.
• Experience in SQL, Python, Spark, R, or similar languages.
• Experience in machine learning libraries and platforms such as scikit-learn, tensorflow, sagemaker, or similar.
• Written and verbal communication skills to convey complex technical topics to a variety of audiences.

MNTN Perks

• 100% remote  
• Open-ended vacation policy with an annual vacation allowance
• Three-day weekend every month of the year
• Competitive compensation
• 100% healthcare coverage
• 401k plan
• Flexible Spending Account (FSA) for dependent, medical, and dental care
• Access to coaching, therapy, and professional development

About MNTN:

MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.

Our solutions give advertisers total transparency and complete control over their campaigns – all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including, Petsmart, Build with Ferguson Master, Simplisafe, Yieldstreet and National University.

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