Amazon

DESCRIPTION

SpektrBot is an AI-backed chat assistant for Amazon Ads designed to help business quickly access and analyze advertising data without needing technical skills or extensive support. It simplifies the process of retrieving business insights by allowing users to ask questions in natural language, enabling them to gain answers about ad performance, revenue, and other key metrics efficiently. By streamlining data exploration, SpektrBot enhances decision-making for various teams, such as Finance, Product Management, and Sales, reducing the time spent searching through reports and dashboards.

As a Software Engineer at SpektrBot, you will play a pivotal role in shaping the future of our AI-backed chat assistant designed to streamline access to Ads data and insights for business users. You will drive innovation and facilitate the adoption of cutting-edge Generative AI technologies within the advertising space.

Key job responsibilities

• Drive the design, development, and continuous improvement of machine learning models powering SpektrBot, with a focus on enhancing answer accuracy, contextual relevance, and user trust.
• Lead experimentation with Generative AI techniques—including prompt engineering, fine-tuning, and metadata refinement—to improve response quality and reduce hallucinations.
• Architect and implement scalable, low-latency inference pipelines to support real-time, production-grade GenAI applications.
• Own the end-to-end execution of ML solutions, ensuring they meet high standards of quality, performance, and reliability while delivering meaningful business insights.
• Collaborate cross-functionally with Scientists, Finance, Business Analysts, Product Managers, and Sales Leaders to translate complex business needs into innovative ML solutions.
• Champion rapid iteration and experimentation, contributing to the continuous enhancement of SpektrBot and other self-service analytics tools.
• Mentor junior engineers in applied ML and GenAI best practices, code quality, system design, and debugging across the full software development lifecycle.

BASIC QUALIFICATIONS

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team

PREFERRED QUALIFICATIONS

• 5+ years of industry experience building and deploying machine learning models at scale. Experience with end-to-end ML lifecycle including data preprocessing, feature engineering, model training, evaluation, and deployment.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 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 $151,300/year in our lowest geographic market up to $261,500/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.