Senior Applied Scientist, Artificial General Intelligence

Amazon; Los Angeles (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Senior Applied Scientist to lead the development of innovative algorithms and models in Generative Artificial Intelligence. This role involves collaborating with diverse teams to tackle complex challenges, designing experiments to enhance algorithm performance, and mentoring junior scientists. The ideal candidate will have a strong background in machine learning, programming expertise in Python, and a passion for advancing GenAI technologies. Join a forward-thinking company that values diversity and innovation, where your contributions can significantly enhance customer experiences and drive technological advancements.

Qualifications

• PhD or Master's with 5+ years of applied research experience required.
• 3+ years of experience in building machine learning models.

Responsibilities

• Collaborate with teams to solve complex GenAI problems.
• Design experiments to evaluate algorithms and improve results.

Skills

Machine Learning

Programming in Python

Problem-Solving

Communication Skills

Collaboration

Education

PhD in Computer Science

Master's degree

Tools

TensorFlow

PyTorch

Java

C++

Job description

Job ID: 2725965 | Amazon.com Services LLC

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of cutting-edge algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities.

As a Senior Applied Scientist, you will play a critical role in driving the development of Generative Artificial Intelligence (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.

Key job responsibilities

1. Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI
2. Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results
3. Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
4. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
5. Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team

BASIC QUALIFICATIONS

1. PhD, or Master's degree and 5+ years of applied research experience
2. 3+ years of building machine learning models for business application experience
3. Experience programming in Java, C++, Python or related language
4. Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

1. PhD in Computer Science, Machine Learning, or a related field, with a focus on GenAI and reinforcement learning
2. Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback
3. Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
4. Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
5. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
6. Experience with patents or publications at top-tier peer-reviewed conferences or journals

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.