Senior Applied AI/ML Scientist - Brand Growth
$211k - $291k • San Francisco, CA
Posted 24d ago
Job Location
San Francisco, CA
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
Faire is revolutionizing the wholesale industry by connecting independent retailers with global product discovery through technology, data, and machine learning. As a Senior Applied AI/ML Scientist on the Brand Growth team, you will be instrumental in developing algorithmic solutions to acquire and grow brands on our marketplace. This role involves working with structured and unstructured data to personalize user experiences, enhance growth, and drive business impact. You will collaborate closely with product, engineering, marketing, and sales teams, taking ownership of ML projects from conception to production and measurement.
Responsibilities
- Own applied ML projects end-to-end, including problem framing, model development, shipping, and impact measurement.
- Optimize marketing and acquisition spend for new brand acquisition through targeting, lookalike audiences, and personalization.
- Predict brand lifetime value to inform sales prioritization and personalize new-brand onboarding.
- Improve cold-start recommendations and exploration to ensure new brands quickly find the right retailer audience.
- Identify and enrich brand leads using internal and external data sources to power prioritization and personalization.
- Utilize experimentation and causal inference to measure the effectiveness of growth and spend levers.
- Partner with cross-functional teams (product, engineering, marketing, sales, analytics) to translate models into shipped products and business impact.
- Solve complex problems within a two-sided marketplace.
Requirements
- 3+ years of industry experience applying machine learning to real-world problems.
- Experience with relevant business problems, such as e-commerce.
- Experience with relevant technical methods including LTV modeling, NLP, LLMs, causal ML, and bidding optimization.
- Strong programming skills.
- Willingness and excitement to learn new tools and techniques.
- Ability to design and implement ML solutions independently.
- Strong communication skills and ability to work effectively in a highly cross-functional team.
- Master's or PhD in Computer Science, Statistics, or a related STEM field is highly recommended.
- Previous experience in marketplace growth, acquisition/paid marketing, LTV modeling, or personalization for a two-sided platform is recommended.
Benefits
- Equity
- Benefits
- Latest enterprise AI tools