Amazon
Job ID: 3112104 | Twitch Interactive, Inc. - D48
Apply If you are interested in this position, please apply on Twitch's Career site: https://www.twitch.tv/jobs/en/
About Us Twitch is the world’s 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.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role Twitch connects millions of creators with millions of viewers. Our Machine Learning based recommendation and search systems power discovery products across Twitch and help users find content hyper-personalized for them. Twitch is looking for a Software Engineer II to join our Machine Learning Infrastructure team. You will work with software engineers, applied scientists and product managers in our Models and Infrastructure group to build next-generation Machine Learning systems. The engineering team is responsible for enabling reliable and efficient productionization of Twitch personalization models, including owning the software and data systems to develop, train and manage our real time and batch models at scale. We own the ML platform and care about designing scalable and easy-to-use ML development environments and systems for our consumers. Experimentation is our bread-and-butter and you will have hands‑on experience building and launching model‑based experiments to improve products.
You Will
Design and build scalable infrastructure to train, deploy and manage ML models
Develop and automate software for ML workflows
Optimize cost and performance of training and inference workloads
Actively mentor other engineers on the team or related teams
Contribute to ML infrastructure roadmap planning
Collaborate with Software Engineers, Data Engineers, Applied Scientists, Data Scientists, and Product Managers
Perks
Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount
Basic Qualifications
3+ years of professional software development experience
Experience designing and building scalable and easy-to-use ML infrastructure systems
Experience productionizing, scaling or extending ML models to solve real world use cases
Experience collaborating with ML platform consumers
Excellent coding skills in modern languages and frameworks
Experience with AWS technologies such as ECS, SageMaker, Redshift, Batch, DynamoDB, Lambda, SQS, and Step Functions
Minimum of Bachelor’s degree in Computer Science or equivalent experience
Preferred Qualifications
Knowledge of supervised ML algorithms
Experience in building and managing data platforms
Familiarity with Twitch and/or streaming on Twitch
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#J-18808-Ljbffr
Apply If you are interested in this position, please apply on Twitch's Career site: https://www.twitch.tv/jobs/en/
About Us Twitch is the world’s 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.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role Twitch connects millions of creators with millions of viewers. Our Machine Learning based recommendation and search systems power discovery products across Twitch and help users find content hyper-personalized for them. Twitch is looking for a Software Engineer II to join our Machine Learning Infrastructure team. You will work with software engineers, applied scientists and product managers in our Models and Infrastructure group to build next-generation Machine Learning systems. The engineering team is responsible for enabling reliable and efficient productionization of Twitch personalization models, including owning the software and data systems to develop, train and manage our real time and batch models at scale. We own the ML platform and care about designing scalable and easy-to-use ML development environments and systems for our consumers. Experimentation is our bread-and-butter and you will have hands‑on experience building and launching model‑based experiments to improve products.
You Will
Design and build scalable infrastructure to train, deploy and manage ML models
Develop and automate software for ML workflows
Optimize cost and performance of training and inference workloads
Actively mentor other engineers on the team or related teams
Contribute to ML infrastructure roadmap planning
Collaborate with Software Engineers, Data Engineers, Applied Scientists, Data Scientists, and Product Managers
Perks
Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount
Basic Qualifications
3+ years of professional software development experience
Experience designing and building scalable and easy-to-use ML infrastructure systems
Experience productionizing, scaling or extending ML models to solve real world use cases
Experience collaborating with ML platform consumers
Excellent coding skills in modern languages and frameworks
Experience with AWS technologies such as ECS, SageMaker, Redshift, Batch, DynamoDB, Lambda, SQS, and Step Functions
Minimum of Bachelor’s degree in Computer Science or equivalent experience
Preferred Qualifications
Knowledge of supervised ML algorithms
Experience in building and managing data platforms
Familiarity with Twitch and/or streaming on Twitch
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#J-18808-Ljbffr