Amazon
Applied Scientist, Fire TV Science
Amazon, Sunnyvale, California, United States, 94087
Job ID: 2673810 | Amazon.com Services LLCHelp re-invent how millions of people watch TV! Fire TV remains the #1 best-selling streaming media player in the US. Our goal is to be the global leader in delivering entertainment inside and outside the home, with the broadest selection of content, devices and experiences for customers.
Our science team works at the intersection of Recommender Systems, Information Retrieval, Machine Learning and Natural Language Understanding. We leverage techniques from all these fields to create novel algorithms that allow our customers to engage with the right content at the right time. Our work directly contributes to making our devices delightful to use and indispensable for the household.
Key job responsibilities- Drive new initiatives applying Machine Learning techniques to improve our recommendation, search and entity matching algorithms- Perform hands-on data analysis and modeling with large data sets to develop insights that increase device usage and customer experience- Design and run A/B experiments, evaluate the impact of your optimizations and communicate your results to various business stakeholders- Work closely with product managers and software engineers to design experiments and implement end-to-end solutions- Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them- Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences- Help attract and recruit technical talent; mentor junior scientists
We are open to hiring candidates to work out of one of the following locations:
Sunnyvale, CA, USABASIC QUALIFICATIONS
- 3+ years of building models for business application experience- 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- At least 2 years applying Machine Learning techniques to solve complex scientific problems- At least 2 years of experience with a statistical modeling tools- At least 1 years of experience with Big Data SQL (such as Spark)- At least 1 years of experience with scripting languages like PythonPREFERRED QUALIFICATIONS
- Experience in professional software development- Ph.D. in Computer Science, Computational Mathematics, Statistics, or related field- Expertise on a broad set of ML approaches and techniques including Deep Learning- Track record of applying theoretical models in an applied environment- Experience with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, MxNet- Experience with Deep Learning for search and recommendation- Experience with NLP algorithms and tools a plus- Excellent verbal/written communication skills, including an ability to effectively collaborate with research and technical teams- Experience performing and interpreting A/B experiments a plus
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 $222,200/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Posted:
June 17, 2024
(Updated about 10 hours ago)Posted:
April 18, 2024
(Updated about 10 hours ago)Posted:
January 23, 2024
(Updated about 11 hours ago)Posted:
May 15, 2024
(Updated about 12 hours ago)Posted:
June 11, 2024
(Updated about 14 hours ago)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.
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Our science team works at the intersection of Recommender Systems, Information Retrieval, Machine Learning and Natural Language Understanding. We leverage techniques from all these fields to create novel algorithms that allow our customers to engage with the right content at the right time. Our work directly contributes to making our devices delightful to use and indispensable for the household.
Key job responsibilities- Drive new initiatives applying Machine Learning techniques to improve our recommendation, search and entity matching algorithms- Perform hands-on data analysis and modeling with large data sets to develop insights that increase device usage and customer experience- Design and run A/B experiments, evaluate the impact of your optimizations and communicate your results to various business stakeholders- Work closely with product managers and software engineers to design experiments and implement end-to-end solutions- Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them- Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences- Help attract and recruit technical talent; mentor junior scientists
We are open to hiring candidates to work out of one of the following locations:
Sunnyvale, CA, USABASIC QUALIFICATIONS
- 3+ years of building models for business application experience- 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- At least 2 years applying Machine Learning techniques to solve complex scientific problems- At least 2 years of experience with a statistical modeling tools- At least 1 years of experience with Big Data SQL (such as Spark)- At least 1 years of experience with scripting languages like PythonPREFERRED QUALIFICATIONS
- Experience in professional software development- Ph.D. in Computer Science, Computational Mathematics, Statistics, or related field- Expertise on a broad set of ML approaches and techniques including Deep Learning- Track record of applying theoretical models in an applied environment- Experience with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, MxNet- Experience with Deep Learning for search and recommendation- Experience with NLP algorithms and tools a plus- Excellent verbal/written communication skills, including an ability to effectively collaborate with research and technical teams- Experience performing and interpreting A/B experiments a plus
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 $222,200/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Posted:
June 17, 2024
(Updated about 10 hours ago)Posted:
April 18, 2024
(Updated about 10 hours ago)Posted:
January 23, 2024
(Updated about 11 hours ago)Posted:
May 15, 2024
(Updated about 12 hours ago)Posted:
June 11, 2024
(Updated about 14 hours ago)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.
#J-18808-Ljbffr