Sr Manager, Applied Science, Alexa Connections
About The Position
The Alexa Connections team is building the worlds most trusted AI assistant, that helps get things done and creates moments of joy. We build LLM-powered, next-generation communication features that help customers connect within the household with features like announcements and drop-In, and with people they care about with features like calling, emailing and texting. Using GenAI we proactively personalize every single connection moment whether its connecting with grandparents or communicating with kids teachers, and you can do it all hands free with Alexa! We are hiring a mature Sr. Manager of Applied Science who is an entrepreneurial big thinker that invents and then biases towards action to solve highest priority customer problems. Our portfolio initiative range from highly confidential innovations to data driven quality problems that needs sciences solutions. You will be leading a team of scientists and partnering with product, engineering and design organizations to building on the latest AGI/LLM systems.
Requirements
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience in people management
Nice To Haves
- Experience working with big data, machine learning and predictive modeling
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience in leading teams for developing natural language processing or dialog management systems (like commercial speech products or government speech projects)
Responsibilities
- Play a critical role in elevating the team’s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.
- Establish a long-term vision for continued scientific innovation, setting strategic goals to future-proof the organization’s technical stacks and ML/LLM frameworks to support new and emerging business objectives.
- Grow talents, fostering a culture of excellence and continuous learning to enhance the organization’s ability to solve complex problems.
- Driving applied science projects end-to-end from ideation, analysis, prototyping, development, metrics, and monitoring.
- Conducting deep analyses on massive user and contextual data sets.
- Proposing viable modeling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary results.
- Designing, developing, and maintaining scalable ML models and LLM's with automated training, validation, monitoring and reporting.
- Staying familiar with the field and apply state-of-the-art ML techniques to NLP and related optimization problems.
- Publishing peer-reviewed scientific papers in top journals and conferences.
- Innovate, simplify, reduce waste, and increase efficiency.
- Use data to make decisions and validate assumptions.
- Automate processes otherwise performed by humans.
- Learn from others and help those around you grow.
Benefits
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
