13 Applied Scientist, Alexa Kids Experience Jobs in Seattle, WA
Amazon is Hiring an Applied Scientist, Alexa Kids Experience Near Seattle, WA
DESCRIPTION
Alexa is the groundbreaking intelligent agent that has changed customers’ lives and made voice driven experiences a reality today. If you are passionate about innovating in the space of artificial intelligence and are a highly-motivated, talented software engineer who wants to bring AI into the lives of our youngest customers, then come join the newly formed Alexa Kids Experience team. To realize our vision of making Alexa a fun, supportive, and educational companion for kids, engineers on our team must innovate to build unique Alexa experiences from ground-up and solve a range of technical challenges across the Alexa architecture. We will leverage speech recognition, natural language processing, interactive voice dialogs, distributed systems, knowledge graph, and much more, to build solutions that scale to millions of devices and customers across the globe.
If you are holding out for an opportunity to:
- Make a huge impact as an individual
- Be part of a team of smart and passionate professionals who will challenge you to grow every day
- Solve difficult challenges using your expertise in coding elegant and practical solutions
- Create applications at a massive scale used by millions of people
- Work with machine learning systems to deliver real experiences, not just research
And you are experienced with…
- Drive applied science (machine learning) projects end-to-end ~ from ideation, analysis, prototyping, development, metrics, and monitoring
- Conduct deep analyses on massive user and contextual data sets
- Propose viable modeling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary results
- Design, develop, and maintain scalable, Machine Learning models with automated training, validation, monitoring and reporting
- Stay familiar with the field and apply state-of-the-art Machine Learning techniques to NLP and related optimization problems
- Produce peer-reviewed scientific paper in top journals and conferences
And you constantly look for opportunities to…
- Innovate, simplify, reduce waste, and increase efficiencies
- Use data to make decisions and validate assumptions
- Automate processes otherwise performed by humans
Learn from others and help grow those around you
...then we would love to chat!
In 2024, we have the opportunity to build new products and features from the ground up with generative AI and we are looking for strong, bias for action engineering leaders who are not afraid of taking bold bets and trying new things to improve customer experience for Alexa.
As part of a new and growing team, you will be iterating on new features and products to help drive innovation and expansion. You will work on cross-functional and cross-domain opportunities; tackle challenging projects aim to accelerate experimentations in Alexa; and build out operating mechanisms and technology to enable novel customer experiences. You will be instrumental in setting the team culture, quality bar, engineering best practices, and norms. Mentoring and growing the team around you will be one of the primary ways you measure your own success. You will have the opportunity to contribute and develop deep expertise in the areas of distributed systems, machine learning, conversational technologies, user interfaces (including voice and natural user interfaces), data storage and data pipelines.
This role is exciting for scientists who love to apply startup mindset to their day-to-day, enjoy working cross-functionally to master both business and technology knowledge, and are passionate about building engineering best practices. If you are looking for opportunity to learn, grow and lead, this is the position for you.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC QUALIFICATIONS
- 3 years of building models for business application experience
- PhD, or Master's degree and 4 years of CS, CE, ML or related field experience
- Experience programming in Java, C , Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
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 $136,000/year in our lowest geographic market up to $222,200/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.
Job Summary
Full Time
Transportation
$118k-151k (estimate)
05/01/2024
06/30/2024
RANDALLSTOWN, MD
25 - 50
2018
$50M - $200M
Transportation
