Description
At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it and help customers adopt best practices while architecting on the cloud. We are looking for Applied Scientists to drive innovation with Gen AI to bring paradigm shift to how the business operates and build best in the world experience that customers will love!
Some of the science challenges we work on include fine-tuning Large language models for domain specific use cases, Reinforcement Learning, Auto-generating code from natural language and generating strategic insights and recommendations from very large datasets.
You will have an opportunity to lead, invent, and design tech that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a key driver in taking something from an idea to an experiment to a prototype and finally to a live production system.
Our team packs a punch with principal level product, science, engineering, and leadership talent. We are a results focused team and you have the opportunity to lead and establish a culture for the big things to come. We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We offer a playground of opportunities for builders to build, have fun, and make history!
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in professional software development
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.

Amazon Games is seeking a highly effective Machine Learning Scientist to build and integrate new groundbreaking ML, RL and Generative AI (Gen AI) approaches into our game pipelines and customer experiences. In this role, you will collaborate with our game development studios and operations teams to research and develop generative AI-powered tools, pipelines and features across Amazon Games.

At Amazon Games, our ambition is to create bold new experiences that foster community in and around our games. Our team of game industry veterans develops AAA multiplayer games and original IPs, with teams in Seattle, Orange County, San Diego, Montreal, and Bucharest. Amazon Games, through its Studios, Publishing, and Prime Gaming divisions collaborating with external partners, aims to develop, publish, and deliver compelling AAA games and content experiences for gamers to discover.

Key job responsibilities   Research, implement, and productionize ambitious and complex AI/ML services for Amazon Games.
Collaborate with game team engineers, designers and artists to design, develop, and integrate new generative AI tools into developer workflows.
Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.
Stay up to date with and analyze the latest advancements in generative AI technology, and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved.

A day in the life   You thrive in a collaborative environment where your decisions have significant impact and influence.
You are passionate about building game experiences that delight players.
You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement.
You want to be part of something exciting and unique in the gaming ecosystem.

About the team  The Amazon Games Studio AI Research team focuses on artificial intelligence innovation in gaming. Our highly skilled, multi-discipline team works across Machine Learning, Reinforcement Learning, and Generative AI to reimagine game development. We work closely with first-party game developers and partner studios to bring creative visions to life. Our mission is to use AI responsibly to transform gameplay experiences, enrich narratives, and provide creators with practical tools to optimize their production pipelines.

Basic Qualifications   Master's degree or above in math/statistics/engineering or other equivalent quantitative discipline.
3+ years of programming in Java, C++, Python or related language experience.
3+ years of building machine learning models or developing algorithms for business application experience.
4+ years of experience in applied research.
1+ year of experience in mentoring junior colleagues and/or contributing as a leader by interviewing, managing a team or similar.
1+ year of experience in Game development (or similar entertainment field) including working with game designers and artists.

Preferred Qualifications   One or more years of building applications using ML or RL techniques.
One or more years of building applications using Gen AI techniques.
Experience in designing, deploying ML/RL services and making them ready for production.
Experience building ML/AI products for games.
Experience working with Game development teams including game designers and artists.

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 inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit  this link  for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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  this link . This position will remain posted until filled. Applicants should apply via our internal or external career site.

#J-18808-Ljbffr

Machine Learning Scientist, Amazon Games AI  Job ID: 2921043 | Amazon.com Services LLC
Amazon Games is seeking a highly effective Machine Learning Scientist to build and integrate new ML, RL and Generative AI (Gen AI) approaches into our game pipelines and customer experiences. In this role, you will collaborate with our game development studios and operations teams to research and develop generative AI-powered tools, pipelines and features across Amazon Games.
At Amazon Games, our ambition is to create bold new experiences that foster community in and around our games. Our team of game industry veterans develops AAA multiplayer games and original IPs, with teams in Seattle, Orange County, San Diego, Montreal, and Bucharest. Amazon Games, through its Studios, Publishing, and Prime Gaming divisions collaborating with external partners, aims to develop, publish, and deliver compelling AAA games and content experiences for gamers to discover.
Key job responsibilities   Research, implement, and productionize ambitious and complex AI/ML services for Amazon Games.
Collaborate with game team engineers, designers and artists to design, develop, and integrate new generative AI tools into developer workflows.
Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.
Stay up to date with and analyze the latest advancements in generative AI technology, and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved.
A day in the life   You thrive in a collaborative environment where your decisions have significant impact and influence.
You are passionate about building game experiences that delight players.
You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement.
You want to be part of something exciting and unique in the gaming ecosystem.
About the team  The Amazon Games AI Research team focuses on artificial intelligence innovation in gaming. Our highly skilled, multi-discipline team works across Machine Learning, Reinforcement Learning, and Generative AI to reimagine game development. We work closely with first-party game developers and partner studios to bring creative visions to life. Our mission is to use AI responsibly to transform gameplay experiences, enrich narratives, and provide creators with practical tools to optimize their production pipelines.
BASIC QUALIFICATIONS   Master's degree or above in math/statistics/engineering or other equivalent quantitative discipline.
3+ years of programming in Java, C++, Python or related language experience.
3+ years of building machine learning models or developing algorithms for business application experience.
4+ years of experience in applied research.
1+ year of experience in mentoring junior colleagues and/or contributing as a leader by interviewing, managing a team or similar.
1+ year of experience in Game development (or similar entertainment field) including working with game designers and artists.
PREFERRED QUALIFICATIONS   One or more years of building applications using ML or RL techniques.
One or more years of building applications using Gen AI techniques.
Experience in designing, deploying ML/RL services and making them ready for production.
Experience building ML/AI products for games.
Experience working with Game development teams including game designers and artists.
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit  this link  for more information.
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 $223,400/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  this link .

#J-18808-Ljbffr

Description

Amazon Games is seeking a highly effective Machine Learning Scientist to build and integrate new ML, RL and Generative AI (Gen AI) approaches into our game pipelines and customer experiences. In this role, you will collaborate with our game development studios and operations teams to research and develop generative AI-powered tools, pipelines and features across Amazon Games.

At Amazon Games, our ambition is to create bold new experiences that foster community in and around our games. Our team of game industry veterans develops AAA multiplayer games and original IPs, with teams in Seattle, Orange County, San Diego, Montreal, and Bucharest. Amazon Games, through its Studios, Publishing, and Prime Gaming divisions collaborating with external partners, aims to develop, publish, and deliver compelling AAA games and content experiences for gamers to discover.

Key job responsibilities

Research, implement, and productionize ambitious and complex AI/ML services for Amazon Games.

Collaborate with game team engineers, designers and artists to design, develop, and integrate new generative AI tools into developer workflows.

Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.

Stay up to date with and analyze the latest advancements in generative AI technology, and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved.

A day in the life

You thrive in a collaborative environment where your decisions have significant impact and influence.

You are passionate about building game experiences that delight players.

You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement.

You want to be part of something exciting and unique in the gaming ecosystem.

About the team

The Amazon Games AI Research team focuses on artificial intelligence innovation in gaming. Our highly skilled, multi-discipline team works across Machine Learning, Reinforcement Learning, and Generative AI to reimagine game development. We work closely with first-party game developers and partner studios to bring creative visions to life. Our mission is to use AI responsibly to transform gameplay experiences, enrich narratives, and provide creators with practical tools to optimize their production pipelines.

Basic Qualifications

Master's degree or above in math/statistics/engineering or other equivalent quantitative discipline

3+ years of programming in Java, C++, Python or related language experience

3+ years of building machine learning models or developing algorithms for business application experience

4+ years of experience in applied research

1+ year of experience in mentoring junior colleagues and/or contributing as a leader by interviewing, managing a team or similar

1+ year of experience in Game development (or similar entertainment field) including working with game designers and artists

Preferred Qualifications

One or more years of building applications using ML or RL techniques.

One or more years of building applications using Gen AI techniques.

Experience in designing, deploying ML/RL services and making them ready for production

Experience building ML/AI products for games

Experience working with Game development teams including game designers and artists

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 $223,400/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.

At AWS, we harness the power of Artificial Intelligence to anticipate customer needs across all our services without requiring them to express it. Our goal is to connect customers effortlessly with the most beneficial solutions, paving the way toward a self-healing cloud. We are seeking passionate and driven Machine Learning Scientists/Applied Scientists/ML Scientists to help us create an unparalleled support experience that our customers will truly appreciate!
In this role, you will take the lead in designing and developing technology that will have a direct impact on all AWS customers. Our team is at the forefront of innovation, implementing cutting-edge ML techniques that encompass Natural Language Processing, Deep Learning, and Generative Artificial Intelligence. You will play a pivotal role in transforming ideas into experiments, prototypes, and ultimately, live production systems.
Our team combines the agility of a startup with the innovative spirit of an R&D Lab, all while maintaining the work-life balance of a mature organization. This environment is ripe for builders who are eager to innovate, have fun, and create history!
Key Responsibilities:
Develop and deliver robust production systems at AWS scale.
Engage closely with the business to comprehend the problem landscape, identify opportunities, and formulate challenges.
Employ machine learning, data mining, and statistical techniques, including Generative AI, to create actionable and scalable solutions for business challenges.
Analyze and derive valuable insights from extensive datasets.
Collaborate with software engineering teams to implement production systems leveraging your ML models.
Establish efficient automated processes for large-scale data analysis, model development, validation, and implementation.
About the Team:
Our objectives are being met by deriving insights from a multitude of datasets, including AWS service metrics, chat and call audio logs, email transcripts, support agent and case data, customer context, sentiment, and AWS knowledge articles, tools, and workflows.
Basic Qualifications:
4+ years of experience in building machine learning models for business applications.
PhD, or a Master's degree with 6+ years of applied research experience.
Proficiency in programming languages such as Java, C++, Python, or similar.
Experience with neural deep learning methods and machine learning.
Preferred Qualifications:
Familiarity with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
Experience with large-scale distributed systems like Hadoop or Spark.
Amazon is dedicated to fostering a diverse and inclusive workplace. We are an equal opportunity employer, committed to not discriminating on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
We believe in empowering all Amazonians to achieve the best results for our customers. If you need any workplace accommodations due to a disability during the application or hiring process, please reach out for assistance.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this role ranges from $150,400/year to $260,000/year, depending on location and candidate-specific factors. Besides competitive salaries, Amazon also offers equity, sign-on bonuses, and a comprehensive benefits package.
This position will remain posted until filled. Interested applicants should apply through our internal or external career site.

Description

Amazon Games is seeking a highly effective Machine Learning Scientist to build and integrate new groundbreaking ML, RL and Generative AI (Gen AI) approaches into our game pipelines and customer experiences. In this role, you will collaborate with our game development studios and operations teams to research and develop generative AI-powered tools, pipelines and features across Amazon Games.

At Amazon Games, our ambition is to create bold new experiences that foster community in and around our games. Our team of game industry veterans develops AAA multiplayer games and original IPs, with teams in Seattle, Orange County, San Diego, Montreal, and Bucharest. Amazon Games, through its Studios, Publishing, and Prime Gaming divisions collaborating with external partners, aims to develop, publish, and deliver compelling AAA games and content experiences for gamers to discover.

Key job responsibilities

Research, implement, and productionize ambitious and complex AI/ML services for Amazon Games.

Collaborate with game team engineers, designers and artists to design, develop, and integrate new generative AI tools into developer workflows.

Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.

Stay up to date with and analyze the latest advancements in generative AI technology, and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved.

A day in the life

You thrive in a collaborative environment where your decisions have significant impact and influence.

You are passionate about building game experiences that delight players.

You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement.

You want to be part of something exciting and unique in the gaming ecosystem.

About the team

The Amazon Games Studio AI Research team focuses on artificial intelligence innovation in gaming. Our highly skilled, multi-discipline team works across Machine Learning, Reinforcement Learning, and Generative AI to reimagine game development. We work closely with first-party game developers and partner studios to bring creative visions to life. Our mission is to use AI responsibly to transform gameplay experiences, enrich narratives, and provide creators with practical tools to optimize their production pipelines.

Basic Qualifications

Master's degree or above in math/statistics/engineering or other equivalent quantitative discipline

3+ years of programming in Java, C++, Python or related language experience

3+ years of building machine learning models or developing algorithms for business application experience

4+ years of experience in applied research

1+ year of experience in mentoring junior colleagues and/or contributing as a leader by interviewing, managing a team or similar

1+ year of experience in Game development (or similar entertainment field) including working with game designers and artists

Preferred Qualifications

One or more years of building applications using ML or RL techniques.

One or more years of building applications using Gen AI techniques.

Experience in designing, deploying ML/RL services and making them ready for production

Experience building ML/AI products for games

Experience working with Game development teams including game designers and artists

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 $223,400/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.

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