Software Engineer - Recommendations - Mac

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 to join our Machine Learning Infrastructure team. You will work with software engineers, applied scientists, data engineers, 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. Experimentation is our bread-and-butter and you will have hands-on experience preparing and launching model-based experiments to improve products.

This position is in San Francisco, CA.

You Will
- Produce clean, high-quality, and well tested code
- Design and build scalable infrastructure to train, deploy and manage ML models
- Develop and automate software for ML workflows
- Instrument systems to monitor model performance
- Optimize cost and performance of training and inference workloads
- Collaborate with Software Engineers, Data Engineers, Applied Scientists, Data Scientists, and Product Managers to productionize ML models powering Twitch recommendations and search experiences

Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount

Basic Qualifications

- 1+ Years experience developing software in a professional environment
- Knowledge of data structures and algorithm fundamentals
- Knowledge of building, testing, and managing distributed services
- Proficient coding skills in modern languages and frameworks
- Minimum of Bachelor’s degree in Computer Science or equivalent experience

Preferred Qualifications

- Experience with AWS technologies such as ECS, Sagemaker, Redshift, DynamoDB, Lambda, SQS, and Step Functions
- Knowledge of supervised ML algorithms
- Experience in building data pipelines and using data platforms like Airflow
- Experience building and maintaining ML systems in production environments
- 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 $99,500/year in our lowest geographic market up to $200,000/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.