"Alerted.org

Description

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 Senior Software Engineer 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

- Architect and build infrastructure to train, deploy and manage performant, scalable and maintainable ML models

- Bridge engineering and research by designing and developing easy to use tooling for ML development

- Optimize cost and performance of training and inference workloads

- Actively mentor other engineers on the team or related teams

- Contribute to shaping the ML infrastructure roadmap, ensuring continual enhancement of our platform

- 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

- 5+ years of non-internship professional software development experience

- 5+ years of programming with at least one software programming language experience

- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- Experience as a mentor, tech lead or leading an engineering team

- 4+ years of work experience building and operating large-scale production Machine Learning systems or extensive experience building distributed systems and ability to learn specifics of ML systems.

- Knowledge and experience in Cloud technologies (e.g. AWS, GCP) and containerization software (e.g. Docker, Kubernetes, Mesos).

- Bar raiser for full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.

- Proficiency in data structures, algorithms, Python, Golang.

- Excellent verbal and written communication skills.

- Bachelor’s degree in Computer Science or equivalent experience.

Preferred Qualifications

- Experience building and launching large-scale ML infrastructure for recommendations, ads personalization, search etc.

- Experience working with large-scale data pipelines and storage systems.

- Knowledge of supervised ML algorithms

- Familiarity with AWS services.

- Contributions to open source software projects. Send us a link to your contributions!

- 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.

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 $151,300/year in our lowest geographic market up to $261,500/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.