Job Information
Amazon ML Data Operations Lead, Shopping Search Labeled Data in Palo Alto, California
Description
The Search Labeled Data organization delivers high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation as well as to produce metrics that measure our customer experiences. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers’ expectations. We own delivering the data labelling process improvements and automation requirements towards our vision. We work closely with various machine learning (ML) applied science teams dedicated to improving the quality of models that drive semantic matching, ranking, computer vision, image processing, and augmented reality.
We seek an exceptionally talented, bright, and motivated leader for our Data Operations team. Your responsibilities will encompass ensuring that your team consistently meets productivity and quality assurance standards, actively participating in planning, organizing, and supervising the work of your team, outlining procedures and instructions for tasks, providing time estimates for new assignments, optimizing team efficiency, and mentoring and training both new and existing team members.
Key job responsibilities
• Lead a team of data specialists and linguists that focus on early stage labelling projects.
• Own and prioritize work assignments based on business requirements.
• Define relevant operational metrics aligned with our business objectives and establish processes for tracking and continually improving these metrics.
• Collaborate effectively with stakeholders to achieve our business goals.
• Take ownership of the quality of the output of the managed process.
• Conduct in-depth data analysis, identify issues, determine root causes, and propose effective solutions.
• Review Standard Operating Procedures (SOPs), processes, and tools to proactively enhance quality measures.
• Initiate and lead process improvement initiatives, presenting solution proposals and implementing changes in relevant operational areas.
• Participate in onboarding for new processes, i.e. new process / experiments, ensuring comprehensive documentation.
• Develop robust launch plans for new team members and oversee their progress through the administration of these plans, turning intentions into actions.
• Provide regular coaching and feedback to your direct reports.
• Devise and implement performance improvement plans for team members.
• Be prepared to handle sensitive data, including adult content and topics related to religion and other sensitive issues, as required.
We are open to hiring candidates to work out of one of the following locations:
Palo Alto, CA, USA
Basic Qualifications
• 3+ years of direct management experience of a 5+ member team
• 2+ years of program or project management experience
• Experience leading process improvements
• Experience with data analysis and business case development, and managing programs from concept to implementation
• Experience in analysis of large volume of data to drive analysis and to make decisions
• Experience in managing global stakeholders
• Bachelor's or Master's in linguistics, computational linguistics, or other language-related fields.
Preferred Qualifications
• Knowledge of data mining using SQL
• Experience in translating business needs into detailed feature requirements
• Experience in e-commerce/Hi-tech/Retail industry or management consulting with focus on one of these industries
• Proficient in French, German, Spanish, Italian, or Japanese language
• Working knowledge of Python scripting, Regex, Git
• Experience working in Machine learning and AI space
• Strong attention to detail and the ability to successfully manage multiple competing priorities simultaneously
• Excellent communication skills
• PhD in linguistics, computational linguistics, or other language-related fields.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $62,200/year in our lowest geographic market up to $133,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.