Applied Scientist

Sr. Applied Scientist, Alexa Communications job at Amazon. Tempe, AZ.The 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 individualJoin a team of smart and passionate professionals who will challenge you to grow every daySolve difficult challenges using your expertise in coding elegant and practical solutionsCreate applications at a massive scale used by millions of peopleWork with AGI/LLM systems to deliver real experiences, not just researchYou are experienced with: Driving applied science (machine learning) projects end-to-end from ideation, analysis, prototyping, development, metrics, and monitoringConducting deep analyses on massive user and contextual data setsProposing viable modeling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary resultsDesigning, developing, and maintaining scalable ML models and LLM's with automated training, validation, monitoring and reportingStaying familiar with the field and apply state-of-the-art ML techniques to NLP and related optimization problemsPublishing peer-reviewed scientific papers in top journals and conferencesAnd you constantly look for opportunities to: Innovate, simplify, reduce waste, and increase efficiencyUse data to make decisions and validate assumptionsAutomate processes otherwise performed by humansLearn from others and help those around you growIn 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 responsibilities: Iterating on new features and products to help drive innovation and expansionWork on cross-functional and cross-domain opportunitiesTackle challenging projects aimed to accelerate experimentations in AlexaBuild out operating mechanisms and technology to enable novel customer experiences.Be instrumental in setting the team culture, quality bar, engineering best practices, and normsMentor and grow the team around youContribute 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 pipelinesBasic Qualifications: 3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPreferred 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 for more information.If the country/region you're applying in isn't listed, please contact your Recruiting Partner.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.This position will remain posted until filled. Applicants should apply via our internal or external career site.#J-18808-Ljbffr