Startups Sr. Applied Scientist, Generative AI Innovation & Delivery Team - Amazon : Job Details

Startups Sr. Applied Scientist, Generative AI Innovation & Delivery Team

Amazon

Job Location : Boston,MA, USA

Posted on : 2025-08-05T01:21:28Z

Job Description :
Startups Sr. Applied Scientist, Generative AI Innovation & Delivery Team

Job ID: 2951127 | Amazon Web Services, Inc.

Do you have deep technical GenAI background in the Startup space? Are you looking to work with world leading startups at the forefront of Generative AI? Join the The Generative AI Innovation and Delivery Team (GenAIID) Startup Organization!

The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with worlds' leading startups across GenAI model providers, GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We're looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities
  • Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities.
  • 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.
  • Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience.
  • Provide customer and market feedback to product and engineering teams to help define product direction.
  • Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements.
    • BASIC QUALIFICATIONS
  • PhD, or Master's degree and 6+ years of applied research experience.
  • 5+ years of hands on experience with Python to build, train, and evaluate models.
  • 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 of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies.
  • Experience in patents or publications at peer-reviewed conferences or journals.
    • PREFERRED QUALIFICATIONS
  • Experience working in a startup or with startup customers.
  • 2+ years of experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches.
  • Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation.
  • Experience with optimization of models on GPUs, Amazon Silicon, or TPUs.
  • 2+ years of experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools.
  • Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
  • Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts.

    • Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

    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 this link for more information.

    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 this link.

    Posted: April 15, 2025 (Updated about 5 hours ago)

    #J-18808-Ljbffr
    Apply Now!
    Similar Jobs ( 0)
    -- View More Similar Jobs --