Senior Machine Learning Engineer


Full Time Senior level / Expert logo
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Posted 3 weeks ago

About the Team  
Data is at the core of Outreach's strategy. It drives ourselves and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards, to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity  through natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers’ needs and deliver new products and features to help continuously improve their customer engagement workflows.
The mission of the Data Science team is to enable such continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure success and efficiency of these workflows, and providing insights and tools to support execution and optimization of these workflows. As a member of the team, you will be on the ground floor working with other Data Scientists, Machine Learning Engineers, and Application Engineers to define and implement our strategy for delivering on this mission. 

Your Daily Adventures Will Include

  • Define and implement algorithms and platforms for automated optimization of sales workflows, aka sales playbooks. For most companies, their playbooks are highly suboptimal, defined based on intuition and experience of sales leaders, without much data analysis involved. Your goal will be to change that.
  • You will be a part of a cross-functional team consisting of data scientists, machine learning engineers and application engineers working on transforming static intuition-based sales playbooks into dynamically optimized sales processes. This work will forever revolutionize how sales works.

Basic Qualifications

  • You have 5+ years of  experience working with distributed data processing frameworks such as Spark
  • Experiences with Spark’s Mlib, AWS, Databricks, MLFlow are a plus
  • You understand the entire lifecycle of statistical and machine learning product development, from inception to production
  • You have significant experience with deploying and running statistical and ML models in real products
  • Experience with implementing product A/B testing platforms is a plus
  • You have substantial coding experience
  • Experience with Python and its ML packages such as scikit-learn is a plus
  • You are hands on, able to quickly pick up new tools and languages, and excited about building things and experimenting
  • You go above and beyond to help your teamYou are honest, admit mistakes, and own fixing them
  • You are a motivated and talented craftsperson: always looking to sharpen and adapt your skills
  • You have a MS or PhD degree in Computer Science or a related field, or equivalent industry experience 
Why You Will Love it Here
• Highly competitive salary• Amazing working space with a running track on its roof • Flexible time off and 5 weeks of vacation • 4% employer supplemental pension monthly contribution• 5.000 CZK monthly allowance for meal vouchers, flexipasses and other personal expenses• 16 weeks of annual top up maternity leave pay or 12 weeks of fully paid paternity leave • Opportunity to be part of company success via stock options program • Company-organized and personal paid volunteer days to support the community that supports us• Diversity and inclusion programs that promote employee resource groups like OWN (Outreach Women's Network)• Employee referral bonuses to encourage the addition of great new people to the team• Fun company and team outings because we play just as hard as we work
Job tags: AWS Machine Learning ML Python Scikit-Learn Spark
Job region(s): Europe
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