Applied Scientist II, AFT AI, Amazon Fulfillment Technologies (AFT)

Amazon.com, Inc.; Seattle (WA); On-site; USD 136,000 - 224,000; Full time

Job summary

An established industry player is seeking an Applied Scientist to join their innovative team focused on generative AI and computer vision. This role involves developing and deploying cutting-edge AI solutions to enhance automation and robotics at an unmatched scale. You will collaborate with a talented team of scientists and engineers to tackle complex challenges, mentor junior developers, and contribute to groundbreaking projects that redefine customer experiences. If you are passionate about applying your expertise in computer vision to real-world problems and thrive in a dynamic environment, this opportunity is perfect for you.

Benefits

Health Care Plans

Equity Options

Sign-On Payments

Comprehensive Benefits

Flexible Work Environment

Qualifications

• PhD or Master's with 4+ years in CS, CE, ML or related.
• Experience in deep learning algorithms, especially for computer vision.

Responsibilities

• Design and implement scalable solutions for computer vision.
• Mentor junior developers and collaborate with cross-functional teams.

Skills

Computer Vision

Machine Learning

Deep Learning

Programming (Java, C++, Python)

Problem Solving

Communication

Education

PhD

Master's Degree

Tools

PyTorch

TensorFlow

Pandas

Unix/Linux

Job description

Job ID: 2841151 | Amazon.com Services LLC

Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale.

This role is for the AFT AI team which has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.

We are looking for an Applied Scientist with expertise in computer vision. You will work alongside other CV scientists, engineers, product managers and various stakeholders to deploy vision models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying computer vision for real world problems - this is the team for you.

Key job responsibilities

1. You will be part of a team of scientists and engineers and will work on scaling systems to production alongside partner teams.
2. You will learn how to build robust solutions that operate at Amazon scale, and work with senior technical leaders to grow your skills.
3. You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions.
4. You will design and implement scalable solutions and solve complex problems.
5. You will mentor and coach junior software developers.
6. You should be a great communicator and should be motivated to achieve results in a fast-paced, and at times ambiguous, environment.
7. You should be a self-starter with a bias towards independent problem solving.

BASIC QUALIFICATIONS

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• 1+ years of building models for business application experience.
• Experience with state-of-the-art deep learning and data science frameworks like PyTorch, TensorFlow, Pandas.

PREFERRED QUALIFICATIONS

• Experience using Unix/Linux.
• Experience in professional software development.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 here for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit here.