Twitch

About Twitch

The ultimate livestream platform for gamers

🏢 Tech👥 1001+ employees📅 Founded 2011📍 Belden Place, San Francisco, CA💰 $43.2m3.8
B2CGamingContentEntertainmentSocialVideo

Key Highlights

  • Over 140 million monthly active users
  • Acquired by Amazon in 2014, doubling viewership in a year
  • Partner Program allows streamers to monetize content
  • Global no-meeting days and company holidays

Twitch, headquartered in San Francisco, CA, is the leading livestream platform dedicated to gamers, allowing users to broadcast gaming sessions and build vibrant communities. Acquired by Amazon in 2014, Twitch has over 140 million monthly active users and has raised $43.2 million in funding. The pla...

🎁 Benefits

Twitch offers a remote-friendly workplace, global no-meeting days, and company holidays. Employees benefit from development opportunities including co...

🌟 Culture

Twitch fosters a unique culture centered around gaming and community engagement. The platform encourages creativity and innovation among its employees...

Twitch

Machine Learning Engineer Mid-Level

TwitchNew York

Posted 1 month agoMid-LevelMachine Learning Engineer📍 New York💰 $99,500 - $200,000 / yearly
Apply Now →

Skills & Technologies

Overview

Twitch is seeking a Machine Learning Engineer to build robust ML infrastructure and platforms for personalized monetization experiences. You'll work with Python and AWS to develop APIs that integrate ML models. This position requires experience in machine learning and API development.

Job Description

Who you are

You have a strong background in machine learning and software engineering, with a focus on building scalable systems that enhance user experiences. Your expertise in Python allows you to develop robust ML infrastructure that supports real-time predictions and optimizations. You understand the intricacies of API development and have experience integrating machine learning models into existing services. You thrive in collaborative environments, working closely with applied scientists and engineers to bring innovative solutions to life. You are passionate about leveraging technology to create personalized experiences for users and are eager to contribute to a team that values community and collaboration.

Desirable

Experience with AWS services is a plus, as it enables you to effectively manage and deploy machine learning models in a cloud environment. Familiarity with monetization products or ad tech can give you an edge in understanding the specific challenges and opportunities within Twitch's ecosystem. You are comfortable working in a fast-paced environment and are excited about the prospect of pushing the boundaries of what's possible in live streaming monetization.

What you'll do

As a Machine Learning Engineer at Twitch, you will be responsible for building and maintaining the ML infrastructure that powers personalized monetization experiences across the platform. You will architect and develop APIs that seamlessly integrate machine learning models with existing monetization services, enabling both real-time and batch predictions at scale. Collaborating with applied scientists, you will work on productionizing machine learning models, ensuring they are robust and efficient. Your role will involve optimizing revenue-generating systems and detecting fraud, all while serving millions of users in real-time. You will have the opportunity to innovate and push the boundaries of technology in the live streaming space, contributing to projects that have a direct impact on the Twitch community.

What we offer

Twitch offers a competitive salary range of $99,500—$200,000 USD per year, reflecting your experience and expertise. You will be part of a dynamic team that values collaboration and innovation, working in an environment that encourages personal and professional growth. We believe in empowering our employees and providing them with the tools and resources they need to succeed. Join us in our mission to enhance the live streaming experience for creators and viewers alike, and be part of a community that is passionate about technology and creativity.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Twitch.

Similar Jobs You Might Like

Based on your interests and this role

Twitch

Machine Learning Engineer

Twitch📍 Seattle - On-Site

Twitch is hiring a Machine Learning Engineer to build robust ML infrastructure and platforms for personalized monetization experiences. You'll work with Python and TensorFlow to develop APIs that integrate ML models. This position requires experience in machine learning and API development.

🏛️ On-SiteMid-Level
1 month ago
Windmill

Machine Learning Engineer

Windmill📍 New York - On-Site

Windmill is hiring a Machine Learning Engineer to design and deploy scalable machine learning models that enhance product features and optimize performance. You'll work with Python and TensorFlow in New York, focusing on algorithm optimization and cross-functional collaboration.

🏛️ On-SiteMid-Level
1 year ago
LM Studio

Ai Engineer

LM Studio📍 New York

LM Studio is seeking an AI Engineer to build and maintain on-device inference engines for local LLMs and other AI technologies. You'll work with C++, Python, and TypeScript to optimize performance across various hardware configurations. This role requires 3+ years of experience.

Mid-Level
1 month ago
Twitch

Software Engineering

Twitch📍 San Francisco - On-Site

Twitch is seeking a Software Engineer for their ML Products team to enhance viewer discovery experiences. You'll collaborate with Applied Scientists and Product Managers, utilizing skills in Java and Python. This role is based in San Francisco.

🏛️ On-SiteMid-Level
1 month ago
Sesame

Machine Learning Engineer

Sesame📍 New York - On-Site

Sesame is hiring a Machine Learning Engineer to design and build evaluation pipelines for speech and multimodal models. You'll work with PyTorch and collaborate with research and infrastructure teams to deploy state-of-the-art voice models. This position requires expertise in machine learning and software engineering.

🏛️ On-SiteMid-Level
5 months ago