Amazon

Sr. Machine Learning Engineer, AWS Applied AI Solution

Amazon$168K — $227K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of professional software development experience
  • Proficiency in at least one programming language
  • 5+ years leading design or architecture of systems
  • Experience as a mentor or tech lead
  • Proficient in Python and/or C++
  • Knowledge of Machine Learning and LLM fundamentals

Responsibilities

  • Collaborate with Applied Scientists to convert research into production systems
  • Manage end-to-end deployment of AI and ML methods
  • Develop efficient, automated processes for data analysis and model serving
  • Research innovative model deployment and optimization strategies
  • Document technical processes for diverse audiences
  • Conduct code reviews and uphold engineering standards
  • Mentor junior engineers and aid in recruitment efforts

Benefits

  • Health insurance (medical, dental, vision)
  • 401(k) matching
  • Paid time off and parental leave
  • Mental health support services
  • Flexible spending accounts
  • Adoption and surrogacy reimbursement coverage
Full Job Description
The Role

We're seeking a talented Senior Machine Learning Engineer with expertise in agentic system, production ML systems, and scalable deployment

architectures. You'll 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 You'll 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

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

- Knowledge of Python and/or C++ programming

- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

PREFERRED QUALIFICATIONS

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Bachelor's degree in computer science or equivalent

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, WA, Seattle - 168,100.00 - 227,400.00 USD annually

About Amazon

Audible is a provider of spoken audio information and entertainment , on the Internet. They provide premium spoken audio content, such as audio versions of books and newspapers and radio programs, that is delivered over the Internet and played back on personal computers and hand-held electronic devices. The Audible service allows consumers to purchase and download their content from their Website, store it in digital files and play it back on personal computers and electronic devices. More than 15,000 hours of audio content are available on their Web site, including audio versions of books, periodicals and radio programs. Several manufacturers have agreed to support and promote the playback of their content on their hand-held audio-enabled electronic devices.

Amazon Careers

Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests. Work You’ll Do At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you. Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally. Lead with Innovation and Leadership Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards. Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation. Explore Amazon’s Employment Benefits Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security. Internship and Networking Opportunities Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company. Future-Proof Your Career With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends. Stay Connected Join Our Team Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Amazon. Amazon is more than just a company—it’s a platform for building a promising future. Whether you’re starting or looking to advance your career, Amazon offers the resources, support, and network you need to succeed. Join us, and be a part of our continuing mission to be Earth's most customer-centric company.
Learn more about Amazon
Size
1,608 employees
Market Cap
$832.6 billion
Industry
Net Income
$21.3 billion
Founded
1994
5 Year Trend
+28.1%
Revenue
$386 billion
NASDAQ

Similar Jobs

More Jobs at Amazon

More Information Technology Jobs

Find similar Sr. Machine Learning Engineer, AWS Applied AI Solution jobs: