Senior Machine Learning Engineer



Rise Interactive (, a rapidly growing full service interactive advertising agency, is looking to hire a Senior Machine Learning Engineer, into the Innovation team. We are seeking a detail-oriented, highly motivated individual contributor that is excited about joining a new Innovation department, on a talented, close-knit team and contributing professionally to an entrepreneurial company with an expanding Fortune 500 client base.

Summary and Scope

We’re looking for a Senior Machine Learning Engineer to help us build out our personalized marketing and analytics platforms. Our platform processes billions of records today – and we’re just getting started. Our goal is to find a Senior Machine Learning Engineer with hands-on coding skills, not only just research and analytical skills. This is an individual contributor role that is expected to contribute to production solutions in addition to leading and teaching others on the team, and communicating results to business stakeholders. This position will be involved in the entire data science solution pipeline from end-to-end.

Why Rise

  • Fast growing company with an expanding list of Fortune 500 clients
  • Competitive Salary and Benefits Package
  • Casual Work Environment
  • Great Opportunities for Growth
  • Equal Opportunity Employer


  • We operate a cross-functional team that specializes when needed but aims to have everyone able to contribute. 
  • Duties of the Senior Machine Learning Engineer include: 
  • Collaborate with and coach stakeholders, executives and subject matter experts 
  • Design and Develop innovative experiments, modeling methodologies, real-time recommendation, and machine learning approaches to target and measure our advertising for optimization and forecasting 
  • Identify, generate, and select modeling features from various structured and semi-structured data sets 
  • Train and build machine learning models to meet business goals 
  • Innovate new machine learning techniques to address business needs 
  • Embrace and assist in evolving our Agile (Scrum) team processes and data science role responsibilities 
  • Own the discovery, delivery, evolution, and maintenance of models and data science solutions 
  • Design features into our Product offering like A/B, multivariate tests, and multi-arm bandits 
  • Explain the what and why of particular steps in your analysis or machine learning solution to others 
  • Naturally inquisitive and possess strong conceptual skills 
  • Mentor more junior team members in building their data science skills, integration into the scrum team methodology, and integration with Rise client on-boarding and support

Required Skills

Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with TB to PB sized data sets

  • Strong understanding of statistics, predictive modeling, multivariate analysis, machine learning and information retrieval 
  • Smart, high aptitude to learn new things and sense of urgency to get things done 
  • 6+ years of experience working with large amounts of real data 
  • Able to program in languages such as Python, SQL, SparkML, R, SAS 
  • Experience with data visualization tools like Tableau, D3 
  • Experience writing advanced queries for large, semi-structured datasets with tools like Hadoop, Hive, Spark, MapReduce, and NoSQL technologies 
  • Excellent communication is essential in this role -- experience communicating with diverse teams including data scientists, engineers, product managers, and executive management 
  • Experience working in cloud-only infrastructure, especially AWS 
  • A strong passion for empirical research and answering hard questions 
  • Team player – demonstrated experience on a few teams that have shipped a product 
  • Professional developer – experienced with source control (Git) and bug tracking 
  • Practical-minded – chooses stability/reliability/maintainability over shiny new objects 
  • Passionate about technology – ideally you build things outside of work for fun 
  • Must be totally comfortable at the command line 
  • Experience delivering data products in the marketing, ad tech space is also a plus.

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Perks of working here

401(K) Matching
Happy Hours
Health Benefits
Generous Parental Leave
Volunteering Opportunities
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