Machine Learning Engineer

March 14

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Dstillery

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Dstillery is a leading AI ad targeting company that specializes in providing data-driven custom audiences to connect brands with their target consumers. Their innovative ID-free targeting technology enables programmatic ad campaigns to scale while maintaining web privacy. By leveraging AI and machine learning, Dstillery delivers predictive audience targeting without the use of cookies or IDs. They offer solutions for connected TV (CTV) and have tools like the Audience Brief Genius that streamline the audience selection process. Dstillery's services are used by many Fortune 100 companies, and they have received multiple awards for their advancements in AI and data science.

Digital Advertising • Data Science • Data Mining • Machine Learning • Targeted advertising

51 - 200 employees

Founded 2012

🤖 Artificial Intelligence

📋 Description

•About Dstillery •Dstillery is the leading AI ad targeting company. We empower brands and agencies to target their best prospects for high-performing programmatic advertising campaigns. •Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI technology that powers our precise, scalable audiences. •Our newest technology, ID-free®, is patented, privacy-safe behavioral targeting that reaches 100% of ad impressions and can be used with any Dstillery product. •Our premier user segment product, Custom AI Audiences, is a just-for-your-brand targeting solution that refreshes hundreds of millions of users every 24 hours to deliver the best performance. •We are looking for a software engineer with strong cloud DevOps skills to join our Data Science Department as a Machine Learning Engineer. •You will work on automating, building and deploying production machine learning solutions. •You will have the opportunity to work alongside Machine Learning Engineers, Researchers and Analysts within our Data Science team who together create solutions that power innovation and drive revenue growth for Dstillery. •The Machine Learning Engineering team often tackles greenfield projects and we are in the midst of building exciting new products on top of a modern, cloud based machine learning platform. •We believe diverse voices and backgrounds lead to richer perspectives and more innovative products. •We strive to be a welcoming, safe and inclusive place to work that takes work life balance seriously and gives you the flexibility and support to be happy and productive. •We value a diversity of professional backgrounds, and our colleagues come from various settings such as academia, fintech, adtech, big tech companies, startups, etc. •As a Machine Learning Engineer here is what you'll learn and do •Develop our MLOps processes and tools •Collaborate with researchers and other machine learning engineers to build exciting new machine learning products •Explore, build and deploy machine learning infrastructure at scale. •Write production code and data pipelines and conduct code reviews. •Promote and exemplify best practices of engineering and data science throughout the organization. •You'll have •A bachelor's degree in a quantitative field (CS, EE, Statistics, Physics, Math, etc.) •2+ years of industry software engineering experience. •Passion for clean code, building, and automation. •Technologies we use •Dstillery anticipates all candidates will need some sort of on-the-job training and a willingness to learn through collaboration is key. •We understand that you may not already be an expert in the various technologies we use, but you should be ready to learn and work with: •Google Cloud Platform •Python •Machine learning frameworks such as scikit-learn, TensorFlow, PyTorch •Airflow, Spark, SQL, Kubernetes, JenkinsX, Terraform •Position can be based at our New York office or remotely located •Dstillery is an Equal Opportunity Workplace

🎯 Requirements