Faire
Senior Applied AI/ML Scientist - Retailer Growth
San Francisco, CA · Senior
Sponsorship not specified$196k-$270kDetected 1 day ago
Machine LearningData ScienceNLPLLMsStatisticsA/B TestingSEOCommunication
About the role
- Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores.
- There are a wide range of ML opportunities in paid marketing optimization, from bidding optimization, search keywords intelligence, smart audience targeting to incrementality and efficiency estimation.
- Our team already includes experienced Applied AI/ML Scientists from Uber, Airbnb, Square, Facebook, and Pinterest.
Responsibilities
- Work with cross-functional stakeholders to develop end-to-end product solutions
- Optimize marketing capital allocation through sophisticated targeting and bidding optimization strategies.
- Implement rigorous experimentation and causal inference frameworks to quantify the impact of growth levers.
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
Requirements
- Experience with relevant business problems (e-commerce)
- Experience with relevant technical methods (LTV modeling, NLP, LLMs, causal ML, bidding optimization)
- Strong communication skills and the ability to work in a highly cross-functional team
- Previous experience in paid marketing, and/or growth team focusing on SEO and AEO optimization
- Previous experience in LLMs and programmatic content generation
- 3+ years of industry experience using machine learning to solve real-world problems
- Strong programming skills
- An excitement and willingness to learn new tools and techniques
- The ability to design and implement ML solutions without supervision
- Great to Haves:
- Highly recommended: Master's or PhD in Computer Science, Statistics, or related STEM fields
- Salary Range
- California: the pay range for this role is $196,000 to $269,500 per year.
- This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Skills
- Faire is a technology wholesale platform built on the belief that the future is local.
- Best in
Compensation
- California: the pay range for this role is $196,000 to $269,500 per year.
- Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location.
- The base pay range provided is subject to change and may be modified in the future.
- Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
- the pay range for this role is $196,000 to $269,500 per year.
Benefits
- This role will also be eligible for equity and benefits.
- Drive data science vision, strategy, and execution within Retailer Growth, using AI/ML solutions to activate and engage more retailers on the platform
Company info
- We are dedicated to building machine learning models that help our customers thrive.
- You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
This listing is sourced directly from Faire's careers page and normalized into a canonical job model.