Alembic

About Alembic

Transforming marketing insights with AI-driven analytics

🏢 Media👥 21-100 employees📅 Founded 2018📍 SoMa, San Francisco, CA💰 $169.1m
B2BBig dataMarketingAnalyticsBusiness IntelligenceSaaS

Key Highlights

  • Raised $169.1 million in Series A funding
  • Headquartered in SoMa, San Francisco, CA
  • Employs advanced mathematics for marketing attribution
  • Analyzes marketing campaigns across multiple channels

Alembic, headquartered in SoMa, San Francisco, CA, specializes in AI-enabled predictive analytics for marketing attribution. The company leverages advanced mathematics and AI techniques, initially developed for pandemic-related research, to analyze marketing effectiveness across channels like TV, ra...

🎁 Benefits

Alembic offers competitive equity options, generous PTO, and a flexible remote work policy to support work-life balance. Employees also benefit from a...

🌟 Culture

Alembic fosters a data-driven culture focused on innovation in marketing analytics. The company values transparency and collaboration, empowering team...

Overview

Alembic is hiring a Research Engineer - Causal AI to design and implement novel approaches to marketing measurement problems. You'll work with Python and machine learning to build production systems that maintain statistical rigor. This position requires deep technical expertise in causal inference and algorithm development.

Job Description

Who you are

You have a strong background in applied science, particularly in causal inference and marketing attribution. With experience in designing and implementing algorithms, you are comfortable working with complex mathematical problems and translating them into production-quality systems. Your technical expertise allows you to collaborate effectively with customers, ensuring that the solutions you develop meet their measurement challenges.

You thrive in an environment where you can apply your deep technical skills to real-world problems, shipping code that has a tangible impact on business decisions. You are not just focused on theoretical research; you enjoy the challenge of building trusted systems that Fortune 100 companies rely on. Your ability to maintain statistical rigor while developing efficient algorithms sets you apart in the field.

What you'll do

In this role, you will design and implement innovative approaches to marketing measurement challenges, ensuring that the systems you build are both effective and reliable. You will develop algorithms that are mathematically sound and computationally efficient, allowing for accurate causal inference at enterprise scale. Collaborating closely with customers, you will understand their unique measurement challenges and create tailored technical solutions that address their needs.

Your responsibilities will include building production systems that uphold statistical rigor, as well as creating tools and libraries that empower both internal teams and customers to leverage advanced analytics. You will be at the forefront of solving marketing's hardest problems, contributing to the development of systems that help businesses make multimillion-dollar decisions based on data-driven insights.

What we offer

Alembic provides a dynamic work environment where you can tackle frontier technical challenges alongside top engineers. You will have the opportunity to work on impactful projects that shape the future of marketing analytics. As an early-stage startup, we offer a culture that values innovation and adaptability, allowing you to grow your skills and advance your career in a supportive setting. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

Interested in this role?

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

Similar Jobs You Might Like

Based on your interests and this role

OpenAI

Ai Research Engineer

OpenAI📍 San Francisco - Hybrid

OpenAI is seeking a Research Engineer for their AI for Science team to build AI systems that enhance scientific discovery. You'll work with large-scale machine learning systems and collaborate closely with researchers. This role requires strong programming skills and experience in machine learning.

🏢 HybridMid-Level
1 month ago
OpenAI

Research Scientist

OpenAI📍 San Francisco - On-Site

OpenAI is hiring a Researcher for their Trustworthy AI team to study societal impacts of AI models. You'll work on translating policy problems into measurable research. This role is based in San Francisco.

🏛️ On-Site
1 year ago
Factory

Ai Engineer

Factory📍 San Francisco - On-Site

Factory is hiring a Research Engineer to design and integrate advanced AI and ML capabilities. You'll work on AI-driven systems and collaborate with product and engineering teams. This position requires 2+ years of experience in AI/ML engineering.

🏛️ On-SiteMid-Level
1 year ago
OpenAI

Ai Research Engineer

OpenAI📍 San Francisco - On-Site

OpenAI is hiring a Research Engineer in Applied AI Engineering to design and deploy advanced machine learning models that solve real-world problems. You'll work with technologies like Python and TensorFlow in San Francisco.

🏛️ On-SiteMid-Level
1 year ago
Fractional AI

Ai Engineer

Fractional AI📍 San Francisco - On-Site

Fractional AI is hiring an AI Engineer to build and ship AI applications for customers. You'll work with Large Language Models and frameworks like LangChain and LlamaIndex in the San Francisco office.

🏛️ On-SiteMid-Level
1 year ago