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.
If you are holding out for an opportunity to:
- Join a leadership group that moves fast towards big audacious goals
- Lead an organization to balance solving towards problems while working towards
the long term vision
- Be surrounded by super passionate mission driven colleagues who will challenge
you to grow every day
- Solve difficult challenges using your expertise in science to invest practical
solutions
- Create applications at a massive scale used by millions of people
- Work with AGI/LLM systems to deliver real experiences, not just research
And you are experienced with…
- 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
And you constantly look for opportunities to…
- 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
...then lets chat!
Key job responsibilities
As a senior leader, you will 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. You will 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.
Additionally, you will grow talents, fostering a culture of excellence and
continuous learning to enhance the organization’s ability to solve complex
problems. Basic Qualifications: - 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 Preferred Qualifications: - 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)
Amazon is an equal opportunity employer and does not discriminate on the basis
of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our
customers. If you have a disability and need a workplace accommodation or
adjustment during the application and hiring process, including support for the
interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations
[https://amazon.jobs/content/en/how-we-hire/accommodations] for more
information. If the country/region you’re applying in isn’t listed, please
contact your Recruiting Partner.
The base salary for this position ranges from $278,500/year up to $465,100/year.
Salary is based on a number of factors 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.
Applicants should apply via our internal or external career site.
