You will also help craft how we measure AI-powered features through causal inference and ... Snowflake) through research or internships * Ability to communicate technical concepts clearly to ...
You will also help craft how we measure AI-powered features through causal inference and ... Snowflake) through research or internships * Ability to communicate technical concepts clearly to ...
2026 Fall Intern - Frontier Research, Prescient Design (AI for Drug Discovery)
South San Francisco, CA · On-site
$40 - $50/hr
This internship position is located in South San Francisco, on site. The Opportunity * Participate ... General familiarity with simulation-based inference and causal inference is a plus. * Excellent ...
2026 Fall Intern - Frontier Research, Prescient Design (AI for Drug Discovery)
South San Francisco, CA · On-site
$40 - $50/hr
This internship position is located in South San Francisco, on site. The Opportunity * Participate ... General familiarity with simulation-based inference and causal inference is a plus. * Excellent ...
2026 Fall Intern - Frontier Research, Prescient Design (AI for Drug Discovery)
South San Francisco, CA · On-site
$40 - $50/hr
This internship position is located in South San Francisco, on site. The Opportunity * Participate ... General familiarity with simulation-based inference and causal inference is a plus. * Excellent ...
2026 Fall Intern - Frontier Research, Prescient Design (AI for Drug Discovery)
South San Francisco, CA · On-site
$40 - $50/hr
This internship position is located in South San Francisco, on site. The Opportunity * Participate ... General familiarity with simulation-based inference and causal inference is a plus. * Excellent ...
Machine Learning Engineer, Next-Generation Recommendation Systems
Mountain View, CA · On-site +1
$127K - $191K/yr
Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation ... Industry experience in ads, recommendation, or user understanding systems (internship experience ...
Machine Learning Engineer, Next-Generation Recommendation Systems
Mountain View, CA · On-site +1
$127K - $191K/yr
Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation ... Industry experience in ads, recommendation, or user understanding systems (internship experience ...
Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)
Mountain View, CA · On-site
Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation ... Industry experience in ads, recommendation, or user understanding systems (internship experience ...
Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)
Mountain View, CA · On-site
Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation ... Industry experience in ads, recommendation, or user understanding systems (internship experience ...
Data Scientist, Core Data - PhD (2026)
San Francisco, CA · On-site +1
$170K/yr
You will also help craft how we measure AI-powered features through causal inference and ... Snowflake) through research or internships * Ability to communicate technical concepts clearly to ...
Data Scientist, Core Data - PhD (2026)
San Francisco, CA · On-site +1
$170K/yr
You will also help craft how we measure AI-powered features through causal inference and ... Snowflake) through research or internships * Ability to communicate technical concepts clearly to ...
To thrive in this role, you have * 5-7 years in data-focused roles (post-internship), building ... causal inference) E2E to guide decision making. * Expertise in SQL - you innately translate ...
To thrive in this role, you have * 5-7 years in data-focused roles (post-internship), building ... causal inference) E2E to guide decision making. * Expertise in SQL - you innately translate ...
To thrive in this role, you have * 5-7 years in data-focused roles (post-internship), building ... causal inference) E2E to guide decision making. * Expertise in SQL - you innately translate ...
To thrive in this role, you have * 5-7 years in data-focused roles (post-internship), building ... causal inference) E2E to guide decision making. * Expertise in SQL - you innately translate ...
Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ... causal inference, uplift model, and deep learning. • Experience in managing projects. Preferred ...
Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ... causal inference, uplift model, and deep learning. • Experience in managing projects. Preferred ...
Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ... and other causal inference methods to evaluate the model's performance and promote the ...
Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ... and other causal inference methods to evaluate the model's performance and promote the ...
Frontend Engineer Project Intern (TikTok Multimedia Arch) - 2026 (BS/MS)
San Jose, CA · On-site
$45/hr
... causal inference analysis etc. As a project intern, you will have the opportunity to engage in ... Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
Frontend Engineer Project Intern (TikTok Multimedia Arch) - 2026 (BS/MS)
San Jose, CA · On-site
$45/hr
... causal inference analysis etc. As a project intern, you will have the opportunity to engage in ... Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
Data Science Project Intern (Advertising Team) - 2026 Start (BS/MS)
San Jose, CA · On-site
$35 - $55/hr
We leverage advanced machine learning, causal inference, and differential privacy techniques to ... Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
Data Science Project Intern (Advertising Team) - 2026 Start (BS/MS)
San Jose, CA · On-site
$35 - $55/hr
We leverage advanced machine learning, causal inference, and differential privacy techniques to ... Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ... Past internship contributions include: Tensor-based complementary recommendations, published at ...
Internship Causal Inference information
What types of projects and team collaborations can I expect during an Internship in Causal Inference?
As an intern in Causal Inference, you will typically work on projects focused on analyzing data to determine cause-and-effect relationships, such as assessing the impact of interventions or policy changes. You may collaborate with data scientists, statisticians, and domain experts, contributing to experimental design, data cleaning, and the application of statistical methods. Interns often participate in weekly team meetings, present findings, and receive mentorship from senior researchers. This hands-on experience provides valuable exposure to both technical skills and interdisciplinary teamwork, which are crucial for growth in quantitative research roles.
What are the key skills and qualifications needed to thrive as an Internship Causal Inference, and why are they important?
To thrive in an Internship Causal Inference role, you need a solid background in statistics, econometrics, and data analysis, typically supported by coursework or degrees in statistics, economics, or related quantitative fields. Familiarity with statistical programming languages such as R or Python, and experience with causal inference frameworks and tools like propensity score matching or regression discontinuity, are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret results and collaborate with research teams. These skills and qualities are essential to ensure rigorous and meaningful analysis that informs data-driven decisions.
What is the difference between Internship Causal Inference vs Data Analyst?
| Aspect | Internship Causal Inference | Data Analyst |
|---|---|---|
| Required Credentials | Undergraduate or graduate in statistics, economics, or related fields | Degree in statistics, data science, or related fields |
| Work Environment | Research-focused, often in academia or research institutions | Business, corporate, or consulting settings |
| Employer & Industry Usage | Universities, research labs, tech companies | Finance, marketing, healthcare, tech companies |
| Comparison Search Intent | Understanding causal inference techniques during internships | Analyzing data to inform business decisions |
Internship Causal Inference roles focus on applying statistical methods to identify cause-effect relationships, often in research settings. Data Analyst roles involve interpreting data to support business strategies. While both require analytical skills, causal inference internships emphasize research and advanced statistical techniques, whereas data analyst positions focus on data processing and reporting.
What is an Internship in Causal Inference?
An Internship in Causal Inference is a temporary position, typically for students or early-career professionals, that focuses on learning and applying methods to determine cause-and-effect relationships in data. Interns in this field work with statistical models, experimental designs, and software tools to analyze data and infer causal relationships, often in fields like economics, public health, or data science. These internships provide hands-on experience with real-world datasets, mentorship from experienced researchers, and opportunities to contribute to ongoing projects. Participants gain valuable skills in programming, statistical analysis, and research methodology, which are highly sought after in both academia and industry.
What are the most commonly searched types of Causal Inference jobs in California? The most popular types of Causal Inference jobs in California are:
What are popular job titles related to Internship Causal Inference jobs in California? For Internship Causal Inference jobs in California, the most frequently searched job titles are:
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What job categories do people searching Internship Causal Inference jobs in California look for? The top searched job categories for Internship Causal Inference jobs in California are:
What cities in California are hiring for Internship Causal Inference jobs? Cities in California with the most Internship Causal Inference job openings:
Other
Posted 4 days ago
Job description
We're looking for a research-minded Data Scientist to join the Core Data team. This team is a group of analytics professionals and Engineers building the foundational platforms for data science at Figma. We build the experimentation, analytics, and AI tooling that every product team relies on to make confident, data-driven decisions, partnering closely with Data Infra, ML, and Applied Science to evolve our platforms and embed AI into the daily workflows of data scientists across the company.
This role is for someone who thrives at the intersection of rigorous research and real-world impact. You'll bring PhD-level depth to problems that matter. This includes advancing our experimentation platform and developing machine learning-based analytical systems. You will also help craft how we measure AI-powered features through causal inference and statistical modeling.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
- Partner across teams to define and track important metrics, develop experiments, and uncover insights that inform strategic decisions
- Accelerate Figma's experimentation platform and methodology, including A/B testing frameworks and causal inference techniques
- Construct models and analytical frameworks based on machine learning to support product, platform, and business initiatives
- Create tools, datasets, and systems that enable others to work with data more efficiently and rigorously
- Complete and own complex data projects end-to-end, from problem prioritisation to solution delivery
- Drive data quality, accessibility, and the democratization of data across the organization
We'd love to hear from you if you have:
- PhD in a quantitative field (Statistics, Computer Science, Economics, Operations Research, Physics, or related) with a strong foundation in statistical methods, experimentation, and/or machine learning
- Fluency in SQL and proficiency in a scripting language like Python or R, with exposure to distributed data systems (e.g. Snowflake) through research or internships
- Ability to communicate technical concepts clearly to both technical and non-technical audiences
- A curious and rigorous mindset, with a passion for translating research into real-world impact
While it's not required, it's an added plus if you also have:
- Publications or research experience in experimentation or applied ML; industry internship experience applying data science to product or business problems
- An AI-native mindset, with exposure to or interest in LLM analytics, AI product measurement, or evaluating the impact of AI-powered features
- A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
About Figma
Sourced by ZipRecruiter
Industry
Specialized design services
Company size
1,001 - 5,000 Employees
Headquarters location
San Francisco, CA, US
Year founded
2012