Applied Science Manager, Alexa For Shopping

Amazon; Seattle (WA); Sur place; USD 184 000 - 249 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) matching

Paid time off

Parental leave

Résumé du poste

Amazon.com Services LLC in Seattle, WA is seeking a leader to manage a team focused on post-training and alignment for LLM and Vision-Language Models to enhance new shopping experiences. You will collaborate with scientists, engineers, and technical program managers to push cutting-edge capabilities for customers.

This role drives cross-disciplinary execution, defines technical roadmaps, and mentors ML engineers as part of a fast-moving, customer-obsessed environment.

Qualifications

• 2+ years building ML models for business applications.
• Knowledge of ML approaches and algorithms.
• PhD.
• 4+ years of scientists or machine learning engineers management experience.

Responsabilités

• Manage a team focused on post-training and alignment for Large Language Models (LLM) and Vision-Language Models (VLM) for new shopping experiences.
• Collaborate with scientists, engineers, and technical program managers (TPMs) to drive innovative customer-facing solutions.
• Define and execute on the team’s technical roadmap and priorities.
• Provide mentorship and leadership for ML engineers and researchers in a fast-moving environment.

Connaissances

ML model building

ML algorithms knowledge

PhD

Formation

PhD

Description du poste

Description

We're working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. In this role, you will be managing a team working on Large Language Model (LLM) and/or Vision-Language Model (VLM) post-training and alignment for new shopping experiences. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!

Description

We're working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. In this role, you will be managing a team working on Large Language Model (LLM) and/or Vision-Language Model (VLM) post-training and alignment for new shopping experiences. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!

Basic Qualifications

• 2+ years of building machine learning models for business application experience
• Knowledge of machine learning approaches and algorithms
• PhD

Preferred Qualifications

• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
• 4+ years of scientists or machine learning engineers management 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.

• 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

USA, CA, Palo Alto - 211,400.00 - 286,000.00 USD annually

USA, WA, Seattle - 183,800.00 - 248,700.00 USD annually

Company

- Amazon.com Services LLC

Job ID: A10590680