Applied Scientist
Join Twitch as an Applied Scientist to leverage machine learning in enhancing content understanding for creators and viewers.
Posted by employer 1 day ago
First seen on Joblaze 11 hours ago
Last verified on the company career page 11 hours ago
Skills & Technologies
What you'll build
- Build machine learning products
- Propose and design high-impact projects
- Collaborate with engineering and product teams
- Prototype and deploy models
- Drive science culture on the team
Must have
- 5+ years of hands-on industry experience with applied ML
- Experience with LLM model evaluations
- Expertise with Python and SQL
- Experience owning projects with scientists and engineers
Nice to have
- PhD with a specialization in Machine Learning
- Experience with computer vision
- 1+ years of experience in GTM / Content / Creator orgs
- Familiarity with Twitch and its community
AI in the day-to-day
Use applied machine learning to tackle ambiguous business problems across various domains.
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
The Applied Scientist at Twitch focuses on leveraging machine learning to address complex challenges related to content and creator engagement. Daily tasks include designing and implementing ML models that analyze diverse data types, such as user behavior and content metadata, to enhance community interactions. This role is ideal for experienced professionals with a strong background in applied machine learning, particularly those familiar with LLMs and cloud services. The position is part of a collaborative team dedicated to fostering innovation in the live streaming space.
Joblaze insights
- Listed today — first seen on Joblaze October 10, 2026. Last confirmed on Twitch's careers page October 10, 2026.
- Salary band is in line with the typical range for Data Science roles (median ~$172,000).
- Starts above 47% of 62 comparable senior data science roles in United States that list Python we track (median $175,000 across 38 companies). See Python salary trends
- Python appears in 70.1% of 117 comparable senior data science roles in United States; TensorFlow appears in 6% of 117 comparable senior data science roles in United States.
Quick facts
- Is the Applied Scientist role remote?
- No — this is an on-site role in San Francisco, CA, United States.
- What's the salary range?
- Twitch lists $171,600–$222,200 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Applied Scientist role.
- Where is the role based?
- Twitch is hiring for this position in San Francisco, CA, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: PyTorch, Python, SQL, TensorFlow.
- What seniority level is this role?
- Twitch targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Applied Scientist role at Twitch.
From the original posting
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.
You Have:
- 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.
- Experience working with both technical and non-technical partners and stakeholders.
- Expertise with: Python and SQL, modern open source ML libraries (Pytorch, Tensorflow, etc.). Developing software in AWS or similar cloud-computing services.
Bonus Points
- 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.
Job ID: TW9302
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.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Standard company text repeated across Twitch's postings is omitted here.