Lead Adaptive Engineer

Pearson - San Jose, CA3.8

Full-timeEstimated: $120,000 - $170,000 a year
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EducationSkills
**Description**

At Pearson, we’re committed to a world that’s always learning and to our talented team who makes it all possible. From bringing lectures vividly to life to turning textbooks into laptop lessons, we are always re-examining 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 motivate each other to explore new frontiers in an environment that supports and inspires us to always be better. By pushing the boundaries of technology — and each other to surpass these boundaries — we create seeds of learning that become the catalyst for the world’s innovations, personal and global, large and small.

The Personalized Learning and Analytics team (PLA) in Pearson is responsible for software development of analytics and machine learning platforms. PLA is growing and we are looking for a new team member to build a machine learning solution for Pearson’s Global Learning Platform. Together with a highly multi-disciplinary team of engineers, data scientists, strategic partners, product managers and subject domain experts you will work on building adaptive solutions powered by big data. You will work on a best-in-class cloud computing platform, with cutting edge big data tools at your disposal while having access to experts in education, engineering and data science.

Pearson is an Equal Opportunity and Affirmative Action Employer, and a member of E-Verify. All qualified applicants, including minorities, women, veterans, and people with disabilities are encouraged to apply.

RESPONSIBILITIES:
+ Provide technical leadership and motivation to a team of great engineers to deliver best in class platform and product capabilities

+ Partnership with engineering manager and project manager to ensure the project activities are properly planned and risks are managed

+ Develop scalable data processing pipelines

+ Collaborate with other data scientists and engineers to find effective solutions to technical challenges

+ Provide input for product road maps

+ Work closely with engineers to build, test, deploy and troubleshoot machine - learning / algorithm based software

**Qualifications**

TECHNICAL QUALIFICATIONS:
+ MSc or higher in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field

+ 7 years of industry experience in engineering, data science or related areas

+ Experience with working on large data sets, especially with Hadoop and Spark

+ Experience with cloud computing platforms such as AWS and Google

+ Good understanding of foundational algorithms, statistics and machine learning concepts: linear/logistic regression, random forest, boosting, NNs, etc.

+ Passion for learning (new problem domains, algorithms, tools etc) and for analyzing data

+ Strong programming skills with fluency in at least one of Java, Scala, C/C

+ Familiar with industry standard software engineering practices and infra-structure, e.g. CI/CD tools, Unix, Linux, Agile, etc.

+ Ability to access, manage, transfer, integrate and analyze complex datasets, especially using SQL, No-SQL and map-reduce techniques

+ Familiarity with libraries such as Spark ML, Tensor flow, scikit-learn (or others like H2O, Databricks)

LEADERSHIP/TEAM SKILLS:
+ Desire to explore and develop solutions to questions that may or may not have a right answer

+ Demonstrated mastery in communication of technical ideas to non-technical audiences

+ Ability to translate customer goals into practical engineering solutions

+ Passion for growing more junior team members, building careers plans and mentoring

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.

**Primary Location: ** US-CA-San Jose

**Work Locations: ** US-CA-San Jose-303 Almaden 303 Almaden Boulevard Suite 500 San Jose 95110

**Job: ** Technology

**Organization: ** Global Product

**Employee Status: ** Regular Employee

**Job Type: ** Standard

**Job Posting: ** Jul 11, 2019

**Job Unposting: ** Ongoing

**Schedule: ** Full-time Regular

**Req ID: ** 1908536

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.