Senior Applied Scientist
4 weeks ago
Amazon is seeking a highly skilled Senior Applied Scientist to join our Private Brands Discovery team. As a key member of this interdisciplinary team, you will design and develop innovative machine learning solutions to drive customer awareness for Amazon's own brands and help customers discover products they love.
This is a high-visibility opportunity for someone who wants to have a significant business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, you will bring business and industry context to science and technology decisions, setting the standard for scientific excellence and making decisions that affect the way we build and integrate algorithms.
Key responsibilities include:
- Driving applied science projects in machine learning end-to-end, from ideation to launch
- Proposing viable ideas to advance models and algorithms, with supporting argument, experiment, and preliminary results
- Inventing ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions
- Presenting results, reports, and data insights to both technical and business leadership
- Constructively critiquing peer research and mentoring junior scientists and engineers
- Innovating and contributing to Amazon's science community and external research communities
Basic qualifications include:
- 8+ years of building machine learning models for business application experience
- 4+ years of applied research experience
- PhD, or Master's degree and 5+ years of applied research experience
- Experience programming in Java, C++, Python, or related languages
- Experience with neural deep learning methods and machine learning
Preferred qualifications include:
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc.
- Experience with large-scale distributed systems such as Hadoop, Spark, etc.
Amazon is committed to a diverse and inclusive workplace and is an equal opportunity employer. We do 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 $150,400/year in our lowest geographic market up to $260,000/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, and in addition to a full range of medical, financial, and other benefits, dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.
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