DescriptionThe Alexa Communications team is aspiring to make it effortless for Alexa to connect and coordinate with the world by anticipating, personalizing, and acting on every communication.Our team is hiring a talented and experienced Sr. Applied Scientist to help build LLM-powered, next-generation communication features that enable customers to connect with each other (e.g., calling, drop-ins, announcements) and also communicate with Alexa to drive actions (e.g., by email, texting, mobile share). We are seeking an experienced, entrepreneurial, big thinker for a confidential new initiative within Alexa. You will be joining a team doing innovative work, making a direct impact to customers, showing measurable success, and building with the latest AGI/LLM systems.If you are holding out for an opportunity to:
Make a huge impact as an individual
Join 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 AGI/LLM systems to deliver real experiences, not just research
And you are experienced with…
Driving applied science (machine learning) 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 we would love to chat!In 2025, we have the opportunity to build new products and features from the ground up and we are looking for strong leaders who are not afraid of taking bold bets and trying new things to improve the customer experience for Alexa Communications.Key job responsibilitiesAs part of a growing team, you will be:
Iterating on new features and products to help drive innovation and expansion
Work on cross-functional and cross-domain opportunities
Tackle challenging projects aimed to accelerate experimentations in Alexa
Build out operating mechanisms and technology to enable novel customer experiences.
Be instrumental in setting the team culture, quality bar, engineering best practices, and norms
Mentor and grow the team around you
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
Basic Qualifications
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C, Python or related language
Experience with neural deep learning methods and machine learning
Preferred Qualifications
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
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.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.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 $150,400/year in our lowest geographic market up to $260,000/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.
