Principal Applied Scientist, Devices-Emerging Products, Amazon Devices - Emerging Products
Amazon.com Services LLC•5h ago
United StatesHybridFull-timePrincipal Level7+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Applied Scientist
- Amazon Devices is building products that enable new forms of ambient computing
- we are seeking a Principal Applied Scientist to set the scientific direction for what comes next. This position is based out of our SFO13 office in San Francisco, CA. In this role, you will be the technical authority for bringing large-scale, multimodal AI to Amazon devices and services. You will work at the intersection of LLMs, VLMs
- multimodal perception, taking the latest research and making it work across cloud and edge environments, including compute-constrained consumer hardware. You will own the hardest, most ambiguous problems end to end: from large-scale data collection and model training to real-time on-device inference and the evaluation frameworks that tell us whether we are winning. This is a hands-on, individual-contributor leadership role. You will set the scientific vision across multiple teams, raise the bar for scientific excellence
- influence product direction for experiences that will reach millions of customers. You thrive in ambiguity, move fast
- bring a critical eye toward what actually ships. Key job responsibilities * Define and drive the long-term scientific vision for multimodal AI across the organization, spanning perception, conversation, memory
- on-device intelligence * Serve as the primary technical authority on multimodal AI methods (LLMs, VLMs
- multimodal perception)
- advise technical and product leadership on the research bets worth making * Identify and tackle intrinsically hard, open-ended research problems, acquiring expertise as needed and proposing innovative solutions that span multiple teams * Drive the full cycle from research to production: large-scale real and synthetic data collection, model training and fine-tuning, optimization
- real-time deployment * Develop and apply model compression, distillation
- optimization techniques to run large multimodal models on edge and compute-constrained devices, complemented by cloud-side pipelines * Define rigorous evaluation frameworks, benchmarks
- gap-analysis cadences that align model quality with customer experience and business objectives * Lead rapid experimentation, from paper to prototype to production decision
- deliver compelling demonstrations to senior leadership and partners * Collaborate across science, engineering, hardware, design
- product to ship real-time, robust experiences within latency and compute constraints * Mentor and develop a community of applied scientists and engineers, raising the scientific bar across the organization and setting the standard for excellence in artifacts, code
- methodology About the team Our team is part of Amazon Devices, Emerging Products, specializing in bringing advanced AI capabilities to Amazon devices. We operate with the cadence and structure of a fast-paced startup, with rapid iteration, high ownership
- plenty of opportunities for growth. If you want to work at the intersection of advanced research and real-world product impact, this is the place.
- PhD in Machine Learning, Computer Science, Electrical Engineering, or a related field, with 7+ years of relevant research experience after degree
- or Master's degree with 12+ years of equivalent experience * Proven track record of publications at top-tier venues, or an equivalent record of demonstrated technical impact * Deep expertise in one or more of: multimodal perception (computer vision, 3D tracking, pose, scene/activity understanding), real-time conversational understanding, or LLM/VLM modeling * Hands-on experience training and fine-tuning LLMs and/or VLMs * Experience taking multimodal models to production, including real-time, on-device, or low-latency inference * Proficiency in Python and C++, with experience writing production-grade code * Demonstrated ability to set technical direction and influence across multiple teams and organizations at a senior level
- 10+ years of relevant experience in industry or academia * Track record of creating novel algorithms and advancing the state of the art, with peer-reviewed contributions in premier journals and conferences * Experience deploying large multimodal models on compute-constrained or edge hardware * Experience building cloud-edge hybrid AI systems * Experience designing large-scale real and synthetic data collection pipelines * Experience designing evaluation and benchmark frameworks for LLMs or VLMs * Experience with persistent memory, personalization, or socially-aware, context-driven agent behavior * Experience with embodied agents, robotics, human-AI interaction, or ambient intelligence systems * Familiarity with on-device inference frameworks (TensorRT, ONNX Runtime, Core ML, or similar) * Track record of rapid prototyping, taking ideas from paper to working demo quickly, and delivering high-stakes demonstrations to senior stakeholders * Strong written and verbal communication skills
- a record of mentoring scientists and being recognized as a thought leader (e.g., invited talks, program committee service) * Proven ability to work cross-functionally in fast-paced environments 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. Pursuant to the San Francisco 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Francisco - 228,700.00 - 309,400.00 USD annually
Required skills
Machine LearningComputer ScienceElectrical Engineeringmultimodal perceptionreal-time conversational understandingLLMVLMPythonC++cloud-edge hybrid AI systemsdata collection pipelinesevaluation frameworkson-device inference frameworks