... machine learning models and causal inference methodologies - Innovate on event-driven architectures to handle rapidly growing data volumes - Collaborate with scientists and engineers to translate ...
... machine learning models and causal inference methodologies - Innovate on event-driven architectures to handle rapidly growing data volumes - Collaborate with scientists and engineers to translate ...
Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS)
Boulder, CO · On-site
$118K - $142K/yr
... machine learning models and causal inference methodologies - Innovate on event-driven architectures to handle rapidly growing data volumes - Collaborate with scientists and engineers to translate ...
Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS)
Boulder, CO · On-site
$118K - $142K/yr
... machine learning models and causal inference methodologies - Innovate on event-driven architectures to handle rapidly growing data volumes - Collaborate with scientists and engineers to translate ...
Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS)
Boulder, CO · On-site
$118K - $142K/yr
... machine learning models and causal inference methodologies - Innovate on event-driven architectures to handle rapidly growing data volumes - Collaborate with scientists and engineers to translate ...
Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS)
Boulder, CO · On-site
$118K - $142K/yr
... machine learning models and causal inference methodologies - Innovate on event-driven architectures to handle rapidly growing data volumes - Collaborate with scientists and engineers to translate ...
Strong expertise in statistical modeling, machine learning, and applied analytics * Experience ... Strong understanding of experimentation and measurement (A/B testing, causal inference, multi ...
Strong expertise in statistical modeling, machine learning, and applied analytics * Experience ... Strong understanding of experimentation and measurement (A/B testing, causal inference, multi ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
Machine Learning Engineer
Fort Collins, CO · On-site
$90K - $110K/yr
... inference, and results delivery * Develop reusable software tools and workflows that support ... Deploy machine learning models across diverse environments, including cloud, on-premise, and edge ...
Machine Learning Engineer
Fort Collins, CO · On-site
$90K - $110K/yr
... inference, and results delivery * Develop reusable software tools and workflows that support ... Deploy machine learning models across diverse environments, including cloud, on-premise, and edge ...
Operationalize machine learning models in production environments and support integration with ... Analytical depth in areas such as causal inference, signal data processing, experiment design, or ...
Operationalize machine learning models in production environments and support integration with ... Analytical depth in areas such as causal inference, signal data processing, experiment design, or ...
Senior Data Scientist Engineer
Aurora, CO · On-site
... machine learning models in production environments and support integration with broader software ... areas such as causal inference, signal data processing, experiment design, or model ...
Senior Data Scientist Engineer
Aurora, CO · On-site
... machine learning models in production environments and support integration with broader software ... areas such as causal inference, signal data processing, experiment design, or model ...
Postdoctoral Researcher: Machine Learning/Artificial Intelligence Applications to Power Systems
Golden, CO · On-site
$76K - $126K/yr
Posting Title Postdoctoral Researcher: Machine Learning/Artificial Intelligence Applications to Power Systems Location CO - Golden Position Type Postdoc (Fixed Term) Hours Per Week 40 Working at NLR ...
Postdoctoral Researcher: Machine Learning/Artificial Intelligence Applications to Power Systems
Golden, CO · On-site
$76K - $126K/yr
Posting Title Postdoctoral Researcher: Machine Learning/Artificial Intelligence Applications to Power Systems Location CO - Golden Position Type Postdoc (Fixed Term) Hours Per Week 40 Working at NLR ...
Machine Learning Engineer
Denver, CO · On-site
They are seeking a Machine Learning Engineer who will own the entire pipeline from raw data to ... We're now pushing more inference onto the roadside hardware itself, a completely different problem ...
Machine Learning Engineer
Denver, CO · On-site
They are seeking a Machine Learning Engineer who will own the entire pipeline from raw data to ... We're now pushing more inference onto the roadside hardware itself, a completely different problem ...
... causal inference, hypothesis testing, correlation analysis, and other statistical methods to ... analytics and machine learning use cases, with a focus on performance, data quality, and ...
... causal inference, hypothesis testing, correlation analysis, and other statistical methods to ... analytics and machine learning use cases, with a focus on performance, data quality, and ...
Senior Staff / Senior Machine Learning Engineer
Boulder, CO · On-site
$128K - $170K/yr
Deploy high-performance inference pipelines for large-volume, real-time or near-real-time data ... At least five years of professional experience in machine learning, AI engineering, or applied ...
Senior Staff / Senior Machine Learning Engineer
Boulder, CO · On-site
$128K - $170K/yr
Deploy high-performance inference pipelines for large-volume, real-time or near-real-time data ... At least five years of professional experience in machine learning, AI engineering, or applied ...
Senior Staff / Senior Machine Learning Engineer
Boulder, CO · On-site
$110K - $151K/yr
Deploy high‑performance inference pipelines for large‑volume, real‑time or near‑real‑time ... At least five years of professional experience in machine learning, AI engineering, or applied ...
Quick apply
Senior Staff / Senior Machine Learning Engineer
Boulder, CO · On-site
$110K - $151K/yr
Deploy high‑performance inference pipelines for large‑volume, real‑time or near‑real‑time ... At least five years of professional experience in machine learning, AI engineering, or applied ...
Senior Staff / Senior Machine Learning Engineer
Boulder, CO · On-site
$108K - $148K/yr
Deploy highperformance inference pipelines for largevolume, realtime or nearrealtime data ... At least five years of professional experience in machine learning, AI engineering, or applied ...
Senior Staff / Senior Machine Learning Engineer
Boulder, CO · On-site
$108K - $148K/yr
Deploy highperformance inference pipelines for largevolume, realtime or nearrealtime data ... At least five years of professional experience in machine learning, AI engineering, or applied ...
Apply statistical rigor : lead deep-dive analyses leveraging regression, causal inference ... machine learning use cases, with a focus on performance, data quality, and maintainability.
Apply statistical rigor : lead deep-dive analyses leveraging regression, causal inference ... machine learning use cases, with a focus on performance, data quality, and maintainability.
Causal Inference Machine Learning Postdoctoral information
What is a Causal Inference Machine Learning Postdoctoral researcher?
A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.
What are the key skills and qualifications needed to thrive as a Causal Inference Machine Learning Postdoctoral researcher, and why are they important?
To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.
What are some common challenges faced by Causal Inference Machine Learning Postdoctoral researchers when integrating causal models with real-world data?
Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.
What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?
| Aspect | Causal Inference Machine Learning Postdoctoral | Data Scientist |
|---|---|---|
| Required Credentials | PhD in statistics, machine learning, or related field | Bachelor's or Master's in data science, computer science, or related field |
| Work Environment | Academic research, research labs, universities | Corporate, tech companies, startups |
| Industry Usage | Research, academia, specialized industry projects | Business analytics, product development, data-driven decision making |
| Common Search/Comparison | Yes | Yes |
The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.
What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Colorado? For Causal Inference Machine Learning Postdoctoral jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Colorado look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Colorado are:
What cities in Colorado are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in Colorado with the most Causal Inference Machine Learning Postdoctoral job openings:
$118K - $142K/yr
Full-time
Posted 22 days ago
Amazon rating
7.4
Based on 6,968 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Application deadline: Jul 18, 2026
Build the measurement systems that tell advertisers whether their ads actually work - processing 50 billion+ events daily using ML, causal inference, and petabyte-scale AWS infrastructure. Join a team where your code directly enables billions in optimized ad spend across all Amazon Ads products.
We combine rigorous scientific experiments with deterministic and modeled measurement techniques to produce estimates that are fast, precise, and actionable. Using AWS big data and machine learning technologies (EMR, DynamoDB, Spark, Scala), we operate petabyte-scale clusters and continuously innovate on event-driven architectures to stay ahead of rapidly growing scale
We also leverage generative AI tools to accelerate our development, testing, and deployment cycles.
Key job responsibilities
- Design, build, and operate large-scale distributed systems that process 50B+ daily events for causal ad measurement
- Develop and optimize data pipelines on petabyte-scale clusters using Spark, Scala, and AWS big data services (EMR, DynamoDB)
- Implement and productionize machine learning models and causal inference methodologies
- Innovate on event-driven architectures to handle rapidly growing data volumes
- Collaborate with scientists and engineers to translate causal measurement research into production-grade systems
- Leverage generative AI tools to accelerate development, testing, and deployment cycles
- Own end-to-end system reliability including monitoring, alarming, and operational excellence
A day in the life
You'll work across the full stack of a measurement platform - from designing the data ingestion layer that handles billions of events, to building the ML infrastructure that powers causal estimates, to deploying production services that deliver real-time insights to advertisers. You'll partner closely with applied scientists to translate experimental designs into scalable systems, and you'll use GenAI tools to ship faster.
About the team
This team builds the core causal measurement and modeling capabilities serving all of Amazon Ads. We work with diverse systems and languages, combining AWS services like EMR and DynamoDB with Spark and Scala
We also leverage generative AI tools to accelerate our development, testing, and deployment cycles.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US