Sr. Applied Scientist, Computer Vision

We are looking for a passionate, talented Applied Scientists with a growth mindset who are adept at a variety of skills, especially with an array of Computer Vision and Machine Learning methods.

Imagine being part of a team building the future of Smart Glasses. Echo Frames (Amazon’s first Smart Glasses product) is just the beginning. Amazon is focused on bringing technology and design into a form that is familiar to millions of people in a way that has never been done before. If you are excited about pushing the envelope and developing brand new experiences that empower users to do more as they engage with the physical world, we would love to meet you. You will have the opportunity to make impact across a couple of substantive organizations and be part of the start of a new product space within Amazon.

Key job responsibilities
This role is focused on developing performing, real-time Computer Vision and Machine Learning solutions and their associated deployment. You will develop core models that will be foundational of the key operational features that we are launching. You will conduct literature reviews to stay on the cutting edge of the field. You will regularly engage with product managers, software engineers, hardware engineers and stakeholders who will partner with you to guide and productize your work.- Drive end-to-end Computer Vision and Machine Learning methods that have a high degree of ambiguity, scale and complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers and product managers to assist in productionizing your ML models.
- Perform hands-on analysis on multi-sensor data sets to develop insights that drive product requirements.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving.
- Research new and innovative sensor processing and Computer Vision approaches.
- Mentor and help recruit Applied Scientists to the team.
- Present results and explain methods to team leadership.
- Write and pursue IP submissions.

About the team
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about how you bring energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

We are open to hiring candidates to work out of one of the following locations:

Cupertino, CA, USA | Sunnyvale, CA, USA

Basic Qualifications

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

Preferred Qualifications

- 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. 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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 $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. 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 ran