Manager, Applied Science, Amazon CS
DESCRIPTION
This role leads all science efforts to eliminate customer issues at scale across Amazon. Amazon receives millions of contacts annually (from chats, emails, customer service contacts, etc.) , representing all kinds of issues which we need to organize, root cause, size, and route to resolving teams across the company. We support tools and services for both manual and automated resolution workflows (e.g., taxonomy creation, topic modeling, semantic search, sentiment analysis, anecdote detection, AI Agent Creation/Assistance) which leverage a spectrum of Scientific techniques across both classical Machine Learning (ML) and Natural Language Processing (NLP)/GenAI.
This role is highly impactful, overseeing the development of all models powering the identification and remediation mechanisms above to resolution. In leading the science team, you will collaborate with multiple partner teams (Product, Engineering, Program, Finance) and are responsible for:
- Setting the scientific vision/ Roadmap
- Establishing scientific culture and standards for all the scientists (including publication, and time for innovation)
- Delivering technical solutions in collaboration with Product and Engineering partners
- Hire and develop top technical talent (recruitment, skill development, etc.).
In this role you have the opportunity to work on a variety of ML and engineering challenges (scale, latency, tools and tech), and be given the flexibility to continually learn new skills.
Key job responsibilities
- Set the scientific vision and roadmap for the team
- Establish scientific culture and standards for all the scientists (publication, best practices, reviews, etc.)
- Deliver solutions to the core business problems above and influencing business partners
- Hire and develop the team (recruiting top talent, skill development, promotions, etc.).
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- PhD in Mathematics, Physics, Electrical Engineering, Computer Science,or related technical discipline
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- * Extensive knowledge and practical experience in ML, NLP, Information Retrieval and Analytics
- * Proficient in a programming language
- * Track record of scientific publications
- * Proven management experience hiring and growing top talent
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 $165,500/year in our lowest geographic market up to $286,000/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.