Senior Software Development Machine Learning Engineer

- 6+ 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
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 5+ years of building machine learning models for business application experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Santa Clara - 193,300.00 - 261,500.00 USD annually
USA, WA, Bellevue - 168,100.00 - 227,400.00 USD annually
Delivery Foundation Model is at the heart of our growing logistics network in Last Mile at Amazon. We’re challenged to constantly improve and innovate on our routing services and tools to better support fast delivery to customers. We are looking for a Senior Software Development ML Engineer with exceptional technical skills and ML/AI background. We have among the most complex logistics problems in the industry, including large, capacitive, commingled, and time window adherence routing problems. We dispatch thousands of drivers a day to carry millions of packages to our customers.

In this role, you will work with research scientists, senior engineers and product managers to build an advanced machine learning model that helps create globally optimal route plans amidst challenge. You will work at the intersection of software engineering and machine learning to deliver a plan that is efficient, fair, and executable. You will learn about optimization, routing algorithms, and building tools for operators to be successful each and every day around the globe. You will work in a fast paced and growing environment, where ideas are prototyped, tested, and implemented.

Key job responsibilities
1. Develop, debug, and scale-up machine learning model(s) with experienced applied ML scientists. Work in an agile environment to deliver high-quality solution to partner teams.

2. Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.

3. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.

4. Focus on maintaining system health to improve and manage OE.