Senior Applied Scientist, Generative AI Innovation Center

Job description

Description
The Generative AI Innovation Center (GenAIIC) at AWS helps AWS customers accelerate the use of generative AI and realize transformational business opportunities.

This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers and partners to build bespoke solutions that harness the power of generative AI.

The team is looking for an experienced and talented Senior Applied Scientist who brings a strong blend of experience in machine learning, generative and agentic AI, and experience building scalable AI/ML solutions using cloud computing.

The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of GenAIIC with our customers.

You will be able to drive discussions with technical and business leaders within customers and partners.

You will possess technical background that enables you to interact with and give guidance to data/research/applied scientists and software engineers on the team.

The ideal candidate will have think strategically about business, product, and technical issues.

Key job responsibilities
• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
• Help customers develop scalable, secure and effective agentic workflows
• Provide customer and market feedback to product and engineering teams to help define product direction
Basic Qualifications
- 5+ years of building machine learning models or developing algorithms for business application experience
- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience
- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- 2+ years demonstrated experience working with Foundational Models.
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals
Preferred Qualifications
- Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
- Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)
- Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools
- Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
- Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.
- Track record of leading the design, implementation and delivery of scientifically-complex solutions that span multiple teams.
- Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.

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.

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.

Required Skill Profession

Other General