Sr. Machine Learning Engineer, AWS Applied AI Solution
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Were building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day - putting AI to work to deliver better customer experiences operational excellence and faster innovation. Were a fast-moving scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle youll fit right in.
The Role
Were seeking a talented Senior Machine Learning Engineer with expertise in agentic system production ML systems and scalable deployment
architectures. Youll bridge the gap between state-of-art research and customer-facing products contribute to our collaborative and innovative culture and deliver production-ready ML solutions that raise the bar for the entire team.
What Youll Do
Work closely with Applied Scientists and cross-functional engineering teams to transform research code into robust scalable production systems
Own end-to-end deployment at scale of Generative AI and ML methods ensuring reliability and performance
Establish scalable efficient automated processes for large-scale data analysis machine learning model development model validation and serving
Research and implement innovative approaches for efficient model deployment training and optimization
Document processes and methods for both technical and non-technical audiences ensuring knowledge transfer and best practices
Contribute to code reviews and maintain high engineering standards across the team
Mentor junior MLEs and actively participate in recruiting top talent to grow
the team
Present outcomes and explain technical approaches to senior leadership translating complex concepts into business impact
- 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
- Knowledge of Python and/or C programming
- Knowledge of Machine Learning and LLM fundamentals including transformer architecture training/inference lifecycles and optimization techniques
- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 168100.00 - 227400.00 USD annually
Required Experience:
Senior IC
Key Skills
- Sales Experience
- ADAS
- Customer Service
- AI
- Computer Skills
- Retail Sales
- Product Demos
- Automotive Diagnostics
- Automotive Repair
- Business requirements
- Cash Handling
- Enterprise Sales
About Company
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