Applied Scientist, C360

Amazon.com Services LLC•1h ago

United StatesOnsiteFull-timeMid Level4+ yrs exp

H-1B verified · 2310 LCAs

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Applied Scientist

Are you a scientist passionate about advancing Information Retrieval, NLP
Large Language Models? Do you want access to massive datasets, world-class compute
a team of top scientists and engineers building the future of e-commerce? If so, you'll be a great fit for our team at Amazon. We build large-scale ML solutions that deliver personalized, up-to-date recommendations to millions of customers. Our team is uniquely positioned to shape how customers think about their shopping journey. We're looking for scientists with deep LLM expertise to build our next generation of models. The team focuses on post-training—instruction tuning, reward modeling, reinforcement learning
multi-modal alignment. You'll design and run large-scale experiments, analyze model behavior
develop training recipes that improve core capabilities like reasoning, personalization
other frontier paradigms. Key job responsibilities Own the scientific roadmap for personalization initiatives, identifying high-impact research directions and translating ambiguous business problems into well-defined ML formulations Design and lead end-to-end systems spanning recommendations, information retrieval
LLM fine-tuning, from problem framing through offline experimentation to production A/B testing and launch Drive technical decisions on model architecture, training methodology
evaluation frameworks, balancing scientific rigor with business impact and operational constraints Mentor and raise the bar for the science team through design reviews, paper discussions
establishing best practices for experimentation and reproducibility Influence cross-functional strategy by partnering with engineering, product
leadership to define the product vision informed by what's technically feasible and scientifically novel Publish and advance the state of the art — contribute to the broader ML community through patents, publications
external engagement at conferences A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, execute experiments
develop statistical and ML models. The team is driven by business needs
requires collaboration with other Scientists, Engineers
Product Managers across the organization. You get to influence stakeholders with clear communication skills. You innovate on behalf of the customer and strategically build features. You will mentor junior members and help them grow. About the team The team values innovations and offers a safe place to try, fail and learn while fostering a culture of continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers creative space with entrepreneurial work environment focusing on customer obsession.
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
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. 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. 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, Palo Alto - 171,600.00 - 222,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Required skills

PythonJavaLLMLinux