Pearson Senior Manager, Machine Learning in Centennial, Colorado
Senior Manager, Machine Learning - ( 2103879 )
At Pearson, we’re committed to a world that’s always learning and to our talented team who make it all possible. By embracing a massive digital transformation that includes highly experiential and personalized learning, we are always re-examining and continuously improving the way people learn best, whether it’s one child in our own backyard or an education community across the globe. We are bold thinkers and standout innovators who are mission-driven and motivate each other to explore new frontiers in an environment that supports and inspires us to always be better.
We are currently looking for a hands-on Senior Manager to lead our Machine Learning Engineering team to work with our new and existing learning product platforms. The Senior Manager, Machine Learning Engineering will report to the Director of Adaptivity and Machine Learning Engineering and work with cross product and engineering teams to build real-time adaptive and personalized learning services that optimize learner interactions and behavior to allow more efficient and effective study and engagement.
Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. All employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, disability status, or any other group protected by law.
Build relationships with product, engineering, educational efficacy and research teams across Pearson’s learning products and platforms to create an effective product roadmap
Partner with organization leaders to align and drive organizational and team goals
Identify new MLE opportunities to improve the overall learner experience and engagement through influencing the appropriate people to prioritize these new ideas
Identify and drive new MLE opportunities to improve internal facing systems
Understand industry & company-wide trends to help assess & develop new technologies and product solutions
Understand and evaluate problem-solution fit for both algorithms and systems and work the team to ensure effective and efficient solutions
Facilitate team cohesion and effectiveness through identifying project deliverables, dependencies, milestones and risks, understanding team member strengths, and facilitating team organizational activities
Communicate effectively and frequently to internal teams and our technology and product stakeholders to improve quality, advance standards, and handle issues
Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply.
Masters or PhD (preferred) in a quantitative field (CS, engineering, statistics, math, physics, chemistry, etc)
5 years’ experience in a combination of software development and machine learning engineering
2 years’ experience managing and leading teams
Good understanding of database structures, SQL and working with complex data models in big data environments in AWS or Google Cloud
Great at analyzing and understanding complex problems and systems and being able to critique and contribute to its outcome
Experience in at least one these programming languages: Python, Scala, Java, C
Demonstrated technical leadership through influence and mentoring
Experience leading MLE teams in a consumer facing or e-commerce organization
Experience in one or more of the following areas: recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence
The anticipated starting salary range for Colorado-based individuals expressing interest in this position is 130K - 165K. This position is eligible to participate in an annual incentive program.
Benefits available to eligible employees can be seen at: https://pearsonbenefitsus.co
Primary Location : US-CO-Centennial
Work Locations :
US-CO-Centennial-2154 East Commons
2154 East Commons Avenue
Job : Engineering
Organization : Technology & Operations
Employee Status : Regular Employee
Job Type : Standard
Job Level : Manager
Shift : Day Job
Job Posting : Mar 15, 2021
Job Unposting : Ongoing
Schedule: : Full-time Regular
Req ID: 2103879