Senior Applied Scientist, Delivery Foundation Model

Socket.dev; Santa Clara (CA); On-site; USD 192,000 - 260,000; Full time

Benefits offered by this job

Health insurance

RSUs

Sign-on payments

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's Delivery Foundation Model team seeks a Senior Applied Scientist to develop foundation models for billions of deliveries. You will lead multi-modal DL research, train at scale, and guide production-ready implementations with cross-team collaboration.

You will mentor scientists while maintaining strong hands-on contributions, advancing state-of-the-art AI for logistics and safety across the delivery network.

Qualifications

• PhD or Master’s with 10+ years of research experience.
• 5+ years building ML models or algorithms for business use.
• Proficient with SQL and Spark for data work.
• Expert in production coding with Python and C++.
• Strong publication record or demonstrated ML industry impact and mentoring.

Responsibilities

• Design and implement novel deep learning architectures across modalities.
• Train foundation models on large-scale data and infer at scale.
• Collaborate with science and engineering teams to build production-ready adaptations.
• Guide research initiatives and ensure robust performance in production.
• Mentor fellow scientists while contributing hands-on technical work.

Skills

ML model development

Data wrangling

Python

C++

Mentoring

Publications

Education

PhD in engineering, technology, computer science, ML, robotics, OR stats

Master’s degree + 10+ years research

Tools

SQL

Spark

TensorFlow

PyTorch

Job description

Join the next science and engineering revolution at Amazon's Delivery Foundation Model team, where you'll work alongside world-class scientists and engineers to pioneer the next frontier of logistics through advanced AI and foundation models.

We are seeking an exceptional Senior Applied Scientist to help develop innovative foundation models that enable delivery of billions of packages worldwide. In this role, you'll combine highly technical work with scientific leadership, ensuring the team delivers robust solutions for dynamic real-world environments. Your team will leverage Amazon's vast data and computational resources to tackle ambitious problems across a diverse set of Amazon delivery use cases.

Key job responsibilities

• Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data.
• Solve computational problems to train foundation models on vast amounts of Amazon data and infer at Amazon scale, taking advantage of latest developments in hardware and deep learning libraries.
• As a foundation model developer, collaborate with multiple science and engineering teams to help build adaptations that power use cases across Amazon Last Mile deliveries, improving experience and safety of a delivery driver, an Amazon customer, and improving efficiency of Amazon delivery network.
• Guide technical direction for specific research initiatives, ensuring robust performance in production environments.
• Mentor fellow scientists while maintaining strong individual technical contributions.

A day in the life

• Develop and implement novel foundation model architectures, working hands-on with data and our extensive training and evaluation infrastructure
• Guide and support fellow scientists in solving complex technical challenges, from trajectory planning to efficient multi-task learning
• Guide and support fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference
• Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems- Drive technical discussions within the team and and key stakeholders
• Conduct experiments and prototype new ideas
• Mentor team members while maintaining significant hands-on contribution to technical solutions

About the team

The Delivery Foundation Model team combines ambitious research vision with real-world impact. Our foundation models provide generative reasoning capabilities required to meet the demands of Amazon's global Last Mile delivery network. We leverage Amazon's unparalleled computational infrastructure and extensive datasets to deploy state-of-the-art foundation models to improve the safety, quality, and efficiency of Amazon deliveries. Our work spans the full spectrum of foundation model development, from multimodal training using images, videos, and sensor data, to sophisticated modeling strategies that can handle diverse real-world scenarios. We build everything end to end, from data preparation to model training and evaluation to inference, along with all the tooling needed to understand and analyze model performance.

Basic Qualifications

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience
• 5+ years of building machine learning models or developing algorithms for business application experience
• Proficient with Data, experience with SQL and Spark
• Expert coders comfortable working in production environments using Python, C++ or other languages
• Strong publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL) OR Demonstrated experience in applying machine learning innovation in industry- Experience mentoring junior scientists / engineers

Preferred Qualifications

• Experience building foundation models for industry or research
• Experience designing multi-modal model architectures
• Experience building models for motion prediction, e.g. autonomous driving - Track record of successful production ML deployments
• Experience with large-scale distributed environments for ML training and inference
• History of impactful first-author publications at major conferences

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.

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