Applied Scientist, Annapurna ML
2 days ago
By applying to this position, your application will be considered for all locations we hire for in the United States.
Are you interested in machine learning, deep learning, automated reasoning, speech, robotics, computer vision, optimization, or quantum computing? We are looking for applied scientists capable of using a variety of domain expertise to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Our full-time opportunities are available in, but are not limited to the following domains:
- Machine Learning: You will put Machine Learning theory into practice through experimentation and invention, leveraging machine learning techniques (such as random forest, Bayesian networks, ensemble learning, clustering, etc.), and implement learning systems to work on massive datasets in an effort to tackle never-before-solved problems.
- Automated Reasoning: AWS Automated Reasoning teams deliver tools that are called billions of times daily. Amazon development teams are integrating automated-reasoning tools such as Dafny, P, and SAW into their development processes, raising the bar on the security, durability, availability, and quality of our products. Areas of work include: Distributed proof search, SAT and SMT solvers, Reasoning about distributed systems, Automating regulatory compliance, Program analysis and synthesis, Security and privacy, Cryptography, Static analysis, Property-based testing, Model-checking, Deductive verification, compilation into mainstream programming languages, Automatic test generation, and Static and dynamic methods for concurrent systems.
- Natural Language Processing and Speech Technologies: You will tackle some of the most interesting research problems on the leading edge of natural language processing. We are hiring in all areas of spoken language understanding: NLP, NLU, ASR, text-to-speech (TTS), and more
- Computer Vision and Robotics: You will help build solutions where visual input helps the customers shop, anticipate technological advances, work with leading edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for our customers.
- Quantum: Quantum computing is rapidly emerging and our customers can see the potential it has to address their challenges. One of our missions at AWS is to give customers access to the most innovative technology available and help them continuously reinvent their business. Quantum computing is a technology that holds promise to be transformational in many industries. We are adding quantum computing resources to the toolkits of every researcher and developer.
If this sounds exciting to you - come build the future with us
Key job responsibilitiesYou will have access to large datasets with billions of images and video to build large-scale systems.
Analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.
Own the design and development of end-to-end systems.
Write technical white papers, create technical roadmaps, and drive production level projects that will support Amazon Web Services.
Work closely with AWS scientists to develop solutions and deploy them into production.
Work with diverse groups of people and cross-functional teams to solve complex business problems.
BASIC QUALIFICATIONS- Master’s degree or higher in engineering, computer science, machine learning, statistics, physics, or related fields with a graduation conferral date between December 2023 and September 2024.
- Experience in designing experiments and statistical analysis of results.
- Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.
- Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.
- Ph.D. program in engineering, computer science, machine learning, operations research, statistics, or related fields with a graduation conferral date between December 2023 and September 2024.
- Familiar with the core undergraduate curriculum of computer science.
- Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
- Publications at top-tier peer-reviewed conferences or journals.
- Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: September 15, 2024
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