Senior Applied Scientist - Safety ML
Senior Applied Scientist - Safety ML
Posted on :
08-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
08-04-2025
Job Description
If you are interested in this position please apply on Twitchs Career site Us:
Twitch is the worlds biggest live streaming service with global communities built around gaming entertainment music sports cooking and more. It is where thousands of communities come together for whatever every day.
Were about community inside and out. Youll find coworkers who are eager to team up collaborate and smash (or elegantly solve) problems together. Were on a quest to empower live communities so if this sounds good to you see what were up to on LinkedInandX and discover the projects were solving on ourBlog. Be sure to explore ourInterviewing Guideto learn how to ace our interview process.
About the Role
We are looking for applied scientists to solve challenging and openended problems in the domain of user and content safety. As a Senior Applied Scientist on Twitchs Community team you will use machine learning to develop data products tackling problems such as harassment spam and illegal content. You will lead high profile projects where you will use a wide toolbox of ML tools to handle multiple types of data including user behavior metadata and user generated content such as text and video. You will collaborate with a team of passionate scientists engineers and product stakeholders to develop these models and put them into production where they can help Twitchs creators and viewers succeed and build communities.
You will report to our Senior Applied Science Manager. This position is located in San Francisco CA.
You Will
Build machine learning products to protect Twitch and its users from abusive behavior such as harassment spam and violent or illegal content.
Propose design and oversee for highimpact projects that work backwards from customer problems to develop the right solution for the job. Know when to use a classical ML model versus a stateoftheart one.
Collaborate with Community Healths engineering and product management team to productionize your models into flexible data pipelines and MLbased services.
Help drive science culture on the team by staying up to date and experimenting with new techniques in ML software engineering and safety.
Perks
Medical Dental Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount
6 years of handson industry experience building models for NLP deep learning bot detection anomaly detection or in another practical ML domain.
6 years experience writing high quality code to ship those models in production systems.
Experience owning projects that involve numerous scientists and engineers.
Experience working with nontechnical stakeholders.
Proficiency with ML techniques and best practices for risk or abuse detection.
PhD / MSc Degree in Computer Science Mathematics Statistics Physics Engineering or similar quantitative field OR equivalent hands on experience.
Expertise with: Python and SQL modern open source ML libraries (Pytorch Tensorflow etc. developing software in AWS or similar cloudcomputing services.
PhD with a specialization in Machine Learning.
1 years of experience working in the Trust and Safety domain (not necessarily as a scientist).
Experience communicating with both technical and nontechnical partners and stakeholders.
Familiarity with Twitch its business and its community.
We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race religion color national origin gender gender identity sexual orientation age marital status veteran status or disability status 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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco 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 for more information. If the country/region youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 position will remain posted until filled. Applicants should apply via our internal or external career site.
Twitch is the worlds biggest live streaming service with global communities built around gaming entertainment music sports cooking and more. It is where thousands of communities come together for whatever every day.
Were about community inside and out. Youll find coworkers who are eager to team up collaborate and smash (or elegantly solve) problems together. Were on a quest to empower live communities so if this sounds good to you see what were up to on LinkedInandX and discover the projects were solving on ourBlog. Be sure to explore ourInterviewing Guideto learn how to ace our interview process.
About the Role
We are looking for applied scientists to solve challenging and openended problems in the domain of user and content safety. As a Senior Applied Scientist on Twitchs Community team you will use machine learning to develop data products tackling problems such as harassment spam and illegal content. You will lead high profile projects where you will use a wide toolbox of ML tools to handle multiple types of data including user behavior metadata and user generated content such as text and video. You will collaborate with a team of passionate scientists engineers and product stakeholders to develop these models and put them into production where they can help Twitchs creators and viewers succeed and build communities.
You will report to our Senior Applied Science Manager. This position is located in San Francisco CA.
You Will
Build machine learning products to protect Twitch and its users from abusive behavior such as harassment spam and violent or illegal content.
Propose design and oversee for highimpact projects that work backwards from customer problems to develop the right solution for the job. Know when to use a classical ML model versus a stateoftheart one.
Collaborate with Community Healths engineering and product management team to productionize your models into flexible data pipelines and MLbased services.
Help drive science culture on the team by staying up to date and experimenting with new techniques in ML software engineering and safety.
Perks
Medical Dental Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount
6 years of handson industry experience building models for NLP deep learning bot detection anomaly detection or in another practical ML domain.
6 years experience writing high quality code to ship those models in production systems.
Experience owning projects that involve numerous scientists and engineers.
Experience working with nontechnical stakeholders.
Proficiency with ML techniques and best practices for risk or abuse detection.
PhD / MSc Degree in Computer Science Mathematics Statistics Physics Engineering or similar quantitative field OR equivalent hands on experience.
Expertise with: Python and SQL modern open source ML libraries (Pytorch Tensorflow etc. developing software in AWS or similar cloudcomputing services.
PhD with a specialization in Machine Learning.
1 years of experience working in the Trust and Safety domain (not necessarily as a scientist).
Experience communicating with both technical and nontechnical partners and stakeholders.
Familiarity with Twitch its business and its community.
We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race religion color national origin gender gender identity sexual orientation age marital status veteran status or disability status 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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco 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 for more information. If the country/region youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
