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:

As a software engineer on Twitch’s Safety ML team, you will leverage machine learning to develop the systems that keep the everyday Twitch user safe from abuse such as harassment, spam, and illegal content. You will collaborate with a passionate team of scientists and engineers to build the systems necessary to train, evaluate, and productionize our various models. You will build the tools and systems necessary to integrate these models into various parts of the Twitch experience to protect our users from harm.
Our team is based in San Francisco, CA.

• You Will
• Design, build, and deploy reliable and performant services to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content
• Collaborate with Community Health’s science and product management team to productionize and scale models into ML-based services to be used across Twitch.
• Design and build performant and reliable systems that handle multiple types of data, such as user behavior, metadata, and user generated content at scale for model development
• Deliver high-quality code, tests, and documentation
• Mentor other engineers on best practices within the ML space

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
• 3+ years of professional software development experience with a focus on building scalable systems
• Experience building production ML infrastructure, including model deployment, serving, and monitoring systems
• Experience with cloud technologies (AWS, GCP, Azure) and containerization software (Docker, Kubernetes, etc.)
• Proficiency in Go, Python, and distributed systems technologies
• Excellent written and verbal communication skills
• Experience mentoring and supporting fellow engineers or interns
• Bachelor's degree in Computer Science or related field or equivalent industry experience as a Software Engineer

Preferred Qualifications

• Experience with model development
• Proficiency with modern open source ML libraries (Pytorch, Tensorflow, ONNX, etc.)
• Experience with workflow orchestration technologies (Airflow) for managing ML pipelines
• Familiarity with Twitch, either as a viewer or creator (or both!)
  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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually