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Applied Scientist II - AMZ9674020

ID: 6703

Type: Full-time

Category: Others

Company Name: Amazon Development Center U.S., Inc. - B02

Location: USA, CA, Mountain View - Mountain View - United States

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Job Description

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON DEVELOPMENT CENTER U.S., INC.,
Offered Position: Applied Scientist II
Job Location: Mountain View, California
Job Number: AMZ9674020

Position Responsibilities:

Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. Work across industries including financial services, healthcare, retail, and manufacturing, developing AI solutions tailored to each sector's requirements. Work on generative AI, natural language processing, and large-scale model training and deployment. Design custom machine learning algorithms for generative AI applications and fine-tune foundation models using customer datasets with techniques like LoRA and parameter-efficient methods. Evaluate existing ML frameworks and extend them with custom components to meet specific customer requirements. Research and apply cutting-edge ML principles including novel training methodologies and reinforcement learning techniques to create innovative solutions. Develop new algorithms for model optimization, including distillation and hardware-specific optimizations. Conduct applied research on generative AI architectures, training strategies, and optimization techniques through prototyping and benchmarking. Investigate approaches including retrieval-augmented generation, fine-tuning methodologies, and reinforcement learning from human feedback. Mentor junior engineers and scientists.

40 hours / week, 8:00am-5:00pm, Salary Range $171,600/year to $222,200/year.

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, visit:
https://www.aboutamazon.com/workplace/employee-benefits.

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000

Basic Qualifications

Position Requirements:

Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and five years of progressive postbaccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master's degree and one year of research or work experience. Must have one year of research or work experience in the following skill(s): (1) programming in Java, C++, Python, or equivalent programming language; and (2) conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering.#0000

Preferred Qualifications

Please see job description and the position requirements above.

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 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.

Company Information

Company Name: Amazon Development Center U.S., Inc. - B02

Company Website: https://www.aboutamazon.com

Company Address: 410 Terry Ave N, Seattle, WA 98109-5210, USA

Amazon Development Center U.S., Inc. - B02 is an operating entity and engineering organization associated with Amazon.com, Inc., structured to house a range of software development, research, and product engineering activities that support Amazon’s broad consumer, enterprise and platform businesses. The “Amazon Development Center” designation is used across Amazon’s global footprint for sites that concentrate software engineering, machine learning and applied-research teams working on core Amazon products and services. As a U.S.-registered development center, this entity functions as part of the company’s distributed engineering and R&D network that delivers both customer-facing products (retail platform features, consumer devices, digital media, and logistics software) and enterprise-grade services (Amazon Web Services and developer tools). Company overview: The Amazon Development Center U.S., Inc. - B02 unit is organized to enable concentrated engineering workstreams within Amazon’s broader corporate structure. Such development centers typically bring together multidisciplinary teams—software engineers, infrastructure and site reliability engineers, data scientists, machine learning researchers, product managers, designers, and program managers—to conceive, build, test and operate scalable software systems and hardware integrations. Development centers maintain close collaboration with centralized product and business teams across Amazon’s retail operations, AWS, devices (Echo, Fire), advertising, logistics and fulfillment technology groups, Prime Video and Amazon Music technology stacks. Core business activities: The primary activities of an Amazon development center include software design and implementation, cloud and backend service development, data engineering and analytics, applied machine learning and artificial intelligence model development, mobile and web client engineering, firmware and embedded systems work for devices, quality assurance and test automation, developer tooling, and operational support for production services. In addition to building new product capabilities, development center teams focus on scaling systems for high availability and performance globally, optimizing cost and latency across services, and integrating security, privacy and compliance controls into product lifecycles. Many development center teams also contribute to open-source projects, developer SDKs and internal platforms that other Amazon teams use to accelerate delivery. Main products and services: While a development center itself is not a market-facing independent product company, the engineering output produced by Amazon Development Center U.S., Inc. - B02 directly enables and augments Amazon’s suite of products and services. Typical deliverables and contributions include new or improved features on Amazon’s retail website and mobile apps (product search, recommendations, checkout flow, marketplace seller tools), backend services that support global commerce, AWS service components and APIs, foundational data pipelines and analytics platforms, Alexa Voice Service and Echo device software, Prime Video streaming enhancements, advertising technologies, and robotics and automation software for fulfillment centers. The teams also develop internal developer platforms, CI/CD tooling, telemetry and monitoring solutions, and security tooling that are used company-wide. Work from these centers supports both consumer experiences (shopping, entertainment, devices) and business-to-business offerings (AWS, seller services and advertising tools). Organizational role and collaboration: Development centers like this one are an integral part of Amazon’s distributed product engineering model. They often sit alongside other regional engineering hubs and report into product and service leadership within Amazon’s organizational structure. Cross-functional squads are commonplace—bringing together engineering, design and product leadership to drive end-to-end delivery. These centers frequently collaborate with Amazon Web Services teams for cloud-native architecture and with research groups for advanced machine learning integration. They also liaise with operational teams such as supply chain, operations technology and customer service to turn technological capability into measurable customer outcomes. Talent and capabilities: Amazon development centers attract a broad spectrum of technical talent, including backend and frontend engineers, machine learning scientists, data engineers, applied researchers, UX/UI designers, test engineers, and product managers. Teams prioritize scalable architectures, automation, distributed systems, data-driven decision making and experimentation. Investments in continuous deployment, automated testing, observability, and security engineering are central to development center operations, enabling rapid iteration and reliable service delivery at the scale Amazon operates. Mission alignment and public positioning: Amazon’s public corporate mission—“to be Earth’s most customer-centric company”—frames product priorities and customer-experience driven innovation across its development centers. Engineering efforts are typically evaluated by measurable customer outcomes such as faster delivery times, improved search relevance, reduced latency, higher availability, better personalization and cost optimization. Development centers support this mission by delivering the technical capabilities that enable Amazon’s global commerce, cloud services and consumer device ecosystems. Regulatory, security and privacy posture: As an operating engineering site within a large global technology company, Amazon Development Center U.S., Inc. - B02 follows Amazon’s corporate policies on privacy, security, compliance and data governance. Teams build products with industry-standard security practices, compliance controls for region-specific regulatory regimes, and internal review processes for data handling and privacy impact assessments. Work done at development centers must align with legal, regulatory and corporate requirements enforced at the enterprise level. Summary: In short, Amazon Development Center U.S., Inc. - B02 represents a focused engineering and product-development unit within Amazon’s global technology organization. Its activities encompass software and systems engineering, machine learning and data science, device firmware and integration, cloud service development, and delivery of internal platforms that together power many of Amazon’s consumer and enterprise offerings. The center’s outputs help sustain and evolve Amazon’s retail marketplace, AWS offerings, customer devices, content streaming and logistics technology, all while operating within the company’s publicly stated customer-centric mission and corporate governance frameworks.
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