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Staff Machine Learning Scientist
Growth & Optimization
Confirmed live in the last 24 hours
United States
Experience Level
Desired Skills
Data Structures & Algorithms
Natural Language Processing (NLP)
UI/UX Design
  • 5-7 + years of industrial building and launching machine learning and optimization algorithms in Product, Marketing (e.g., bid optimization), or related areas
  • 3+ years demonstrated experience independently balancing priorities and managing projects across multiple stakeholders
  • History of coming up with innovative and creative quantitative solutions, demonstrated through practical business impact and/or publications
  • Strong Proficiency in data structures, algorithms and online experimentation. Proficiency in SQL and at least one programming language such as Python or Java
  • Previous expertise in bid optimization, machine (and deep) learning, natural language processing, & machine perception algorithms required
  • Lead the development and improvement of Coursera's Growth, Demand and Optimization AI solutions
  • Use statistical and optimization techniques to build production-grade algorithms and models that improves the Lifecycle Marketing Engine and empowers top-of-the-funnel growths
  • Partner with Product and Marketing stakeholders to align and execute on the roadmap
  • Partner with UX research, UX design and Product teams to understand customer behavior and incorporate the information into advancing your models
  • Partner with Engineering team to establish a vision and support the development of an scalable ML infrastructure
  • Mentor and up-level a talented team of Machine Learning Scientists and Engineers, act as a technical leader for Growth Optimization
Desired Qualifications
  • Ph.D. in Computer Science, Software Engineering, Mathematics or other related fields
  • Experience in software system design
  • Experience working with cloud-based solutions, especially AWS

1,001-5,000 employees

Online education company
Company Overview
Coursera’s mission is to provide quality learning experience to anyone, anywhere. The company is building a global online learning platform that offers on-demand online courses and degrees.
  • Lifelong learning - Coursera covers the cost of tuition so you can earn a free master’s degree and develop new skills. That’s on top of free, lifelong access to courses and certificates on the platform.
  • Health and wellness - We offer medical, dental, and vision insurance for you and your dependents. Plus, free access to counseling and mental health services.
  • Parental leave - Get up to 16 weeks of fully-paid parental leave when you grow your family and bring a new child into your life.
  • Make-a-thon - We host Make-a-thon events twice a year to promote community and innovation. During Make-a-thon, you’ll dedicate time to attend workshops, work on passion projects, and pursue ideas outside of your day-to-day work.
  • Time away - Take paid time off when you need it. We have time off policies that promote flexibility so you can tailor your work schedule when life calls.
  • Remote work - Our flexibility extends to where you work. You can choose to work from home, work from one of our offices, or try a combination of the two.
  • Equity - Employees earn company stock, so you can own what we build together and share in our success.