Applied Scientist, Smart Home
DESCRIPTION
As an Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day.
Key job responsibilities
- Developing new inference and training techniques to improve the performance of Large Language Models for Smart Home control and Automation
- Developing robust techniques for synthetic data generation for training large models and maintaining model generalization
- Mentoring junior scientists to improve their skills, knowledge, and their ability to get things done
About the team
We are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence - with features like Alexa Hunches that automatically control Smart Home devices.
We are interdisciplinary and we act like it - we ask each other questions and value our different perspectives.
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 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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 $223,400/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.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
An impactful opportunity to join a mission-driven SaaS startup as a Senior Machine Learning Scientist focused on real-time outage intelligence and infrastructure reliability.
Seeking a Senior Music Data Scientist to lead causal studies and provide actionable insights for YouTube's Music business within the Business Go-To-Market team.
Experienced ML Engineer wanted to design and build cutting-edge machine learning systems powering a leading marketing science platform.
A veteran-owned IT consulting company in Richmond seeks an experienced Artificial Intelligence Engineer to develop and deploy advanced agentic AI data models supporting business objectives.
WHOOP is looking for a Staff Machine Learning Engineer to innovate and deploy advanced ML models that enhance fitness and training experiences for their wearable users.
Lead cutting-edge data science initiatives at AMD to revolutionize global operations and deliver world-class products.
Analytics professionals passionate about pricing and data-driven solutions are invited to join SIXT as Quantitative Analysts to optimize revenue management in a hybrid work setting.
Lead Global Payments' worldwide data science and AI function as the Head of Data Science & AI, driving innovation and AI integration across their fintech ecosystem.
Innovate Google’s products as a Data Scientist by applying advanced analytics and collaborating across teams in Mountain View.
PlayOn is seeking a Data Scientist to develop innovative sports ranking algorithms and deliver actionable business intelligence to enhance fan engagement from a remote setting.
Innovate as a Scientific Data Architect at TetraScience, pioneering AI-driven scientific data solutions in collaboration with cross-functional teams and customers.
Lead innovative data science initiatives at Bristol Myers Squibb to accelerate drug development using state-of-the-art ML, NLP, and deep learning methods in a fully remote role.
A Staff Data Scientist at ID.me will drive innovative data science solutions to optimize marketing communications and member lifecycle engagement in a secure identity verification environment.
Subscribe to Rise newsletter
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
