About this role

Amazon is hiring a senior-level Machine Learning Engineer based in Arlington, VA. The posting calls out experience with LLMs, API Development, Machine Learning, Data Analytics. Compensation is listed at $162,700–$220,200 per year.

Role: Machine Learning Engineer
Function: machine learning
Level: senior
Track: Individual contributor
Employment: Full-time
Location: Arlington, VA
Department: Business & Merchant Development
Posted: Jun 25, 2026

AI Summary

Senior ML Engineer building AI-powered decision-support infrastructure for Amazon Business's Bid Capture team. Design probability scoring models, deal pipeline systems, BI dashboards, and integrate disconnected enterprise systems. Navigate ambiguity to build novel technical solutions in a fast-growing B2B procurement function.

Upgrade to Pro for AI summaries, resume match scores & career intelligence →

Job description

from Amazon careers

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.

The Bid Capture team is transforming from reactive, manual operations to a data-driven function powered by AI-enabled decisioning. This role builds and maintains the technical infrastructure that makes that transformation possible , connecting existing systems and pipeline intelligence into a single operating layer that all Amazon Business Government and Enterprise sector teams use.

You'll build the tools, models, and integrations that help the Bid Capture team decide which deals to pursue, win them faster, and learn from every outcome. No polished tech stack to inherit , you'll navigate ambiguity, evaluate options creatively, and build what doesn't exist yet.

Key job responsibilities
- Build core decision-support tools: probability scoring models, sector-specific bid/no-bid frameworks

- Design and manage deal infrastructure: pipeline stages, capacity tracking, deal cycle instrumentation

- Build BI dashboards: WBR metrics, pipeline health, deal velocity, loss pattern visualization

- Integrate disconnected systems creatively — APIs, EDI, bots/RPA, middleware, or novel approaches

- Support a deal similarity engine: tag wins/losses with patterns, build recommendation logic for capture strategy

- Coordinate with partner tech teams to connect Bid Capture workflows to their roadmaps

- Evaluate and pilot AI tools for proposal acceleration and capture intelligence

A day in the life
Check pipeline alerts, validate scoring model accuracy against last week's outcomes, pull data for the team's weekly operating review.

Build an automated qualification bot that screens new opportunities and routes them; troubleshoot an integration where an upstream system changed format; prototype a "deal similarity" feature that surfaces past wins matching a new RFP.

Calibrate a sector scoring model with a team lead, pilot a new AI tool against real deals, push a dashboard update live.

Prep pipeline digest , new opportunities, expiration signals, re-engagement candidates.

Basic Qualifications

- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Bachelor's degree
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience explaining complex technical concepts to various business and technical audiences

Preferred Qualifications

- Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate
- Experience interpreting data and making business recommendations across leadership and cross-functional teams

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.

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, NY, New York - 162,700.00 - 220,200.00 USD annually
USA, TX, Austin - 147,900.00 - 200,100.00 USD annually
USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually