Applied Scientist

Amazon Inc.; San Francisco (CA); On-site; USD 172,000 - 222,000; Full time

Benefits offered by this job

Medical, Dental, Vision & Disability

401(k)

Maternity & Parental Leave

Flexible PTO

Amazon Employee Discount

Job summary

Twitch Interactive, Inc. in San Francisco, CA is seeking an Applied Scientist to tackle challenging ML problems across creators, ads, brand safety, and content understanding.

You will build models that process user behavior, metadata, and user-generated content to power safer, richer creator ecosystems. You will lead projects with multiple scientists and engineers, prototype production-ready ML systems, and continuously experiment with new techniques in LLMs, computer vision, and model

Qualifications

• Degree in a quantitative field (CS, Math, Statistics, Physics, Engineering, or similar) with 5+ years of hands-on ML experience (Bachelor's), or 3+ years with Master’s, or 1+ year with PhD.
• Experience with LLM model evaluations.
• Experience owning projects with multiple scientists and engineers.
• Proficiency in Python and SQL; experience with PyTorch/TensorFlow; cloud experience (AWS or similar).

Responsibilities

• Build ML products to enrich Twitch’s content understanding and help creators and viewers build communities.
• Design and oversee high-impact projects that start from customer problems and develop the right solution.
• Collaborate with cross-functional teams to prototype and deploy models into data pipelines and ML services.
• Stay up-to-date with ML advances and experiment with LLMs, CV, inference and evaluation techniques.

Skills

Python

SQL

LLM evaluations

ML libraries

AWS

Education

Bachelors in quantitative field

PhD preferred

Tools

PyTorch

TensorFlow

Job description

Job ID: 10573715 | Twitch Interactive, Inc. - D48

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 onLinkedInand X, and discover the projects we’re solving on ourBlog. Be sure to explore ourInterviewing Guideto learn how to ace our interview process.

About the Role

We are looking for an Applied Scientist to solve challenging and open-ended problems in the domain of Creators and content contextual signals. As an Applied Scientist on Twitch's GTM Science team, you will use applied machine learning to tackle ambiguous business problems across problem areas such as Ads, Brand Safety, Creator Sponsorship and Content Understanding. You will lead high profile projects where you will use a wide toolbox of ML tools to handle multiple types of data, including user behavior, metadata, and user generated content such as text and video. You will collaborate with a team of passionate scientists, engineers, and product stakeholders to develop these models, prototype and put them into production, where they can help Twitch's creators and viewers succeed and build communities. You will report to our Senior Data Science Manager for GTM. This position is located in San Francisco, CA.

You Will

• Build machine learning products to enrich Twitch’s content understanding and help creators and viewers build and discover their communities.
• Propose, design, and oversee execution for high-impact projects that work backwards from customer problems to develop the right solution for the job. Know when to use a classical ML model versus a state-of-the-art one.
• Collaborate with cross-functional engineering and product teams to prototype and deploy your models into flexible data pipelines and ML-based services.
• Bring innovation and help drive science culture on the team by staying up to date and experimenting with new techniques in LLM, computer vision, inference and model evaluation.

Perks

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

Basic Qualifications

• Experience working with technical and non-technical business owners/partners to overcome obstacles and deliver results
• A degree in a quantitative field (Computer Science, Mathematics, Statistics, Physics, Engineering, or similar) with: 5+ years of hands-on industry experience with applied ML (Bachelor's), or 3+ years of applied ML experience (Master's), or 1+ year of applied ML experience (PhD)
• Experience with LLM model evaluations.
• Experience owning projects that involve numerous scientists and engineers.
• Expertise with: Python and SQL, modern open source ML libraries (Pytorch, Tensorflow, etc.). Developing software in AWS or similar cloud-computing services.

Preferred Qualifications

• PhD with a specialization in Machine Learning.
• Experience with computer vision, LLM inference, content understanding.
• 1+ years of experience working in GTM / Content / Creator orgs (not necessarily as a scientist).
• Familiarity with Twitch, its business, and its community.

USA, CA, SAN FRANCISCO - 171,600.00 - 222,200.00 USD annually