Senior Applied AI/ML Scientist - Brand Growth
Faire · San Francisco
Job description
About the role
Faire is a technology wholesale platform connecting independent retailers worldwide with products from hundreds of thousands of brands. Its Applied AI/ML Scientists build algorithmic solutions for notification and recommender systems, advertising attribution and LTV predictions. As a Senior Applied AI/ML Scientist on the Brand Growth team, you will own the modeling and measurement for problems that help Faire acquire and grow brands on its marketplace. You will work across structured and unstructured data, partnering with product, engineering, marketing and sales.
Key responsibilities
- Own applied ML projects end-to-end: frame the problem, build and ship the model, and measure impact.
- Optimize marketing and acquisition spend for new brands through targeting, lookalike audiences and personalization.
- Predict brand lifetime value to prioritize brand leads for sales and personalize new-brand onboarding.
- Improve cold-start recommendations and exploration so new brands find the right retailer audience quickly.
- Identify and enrich brand leads from internal and external data such as retailer search behavior, referrals and third-party sources.
- Use experimentation and causal inference to measure the effectiveness of growth and spend levers.
- Partner across product, engineering, marketing, sales and analytics to turn models into shipped product and business impact.
Required profile
- 3+ years of industry experience using machine learning to solve real-world problems.
- Experience with relevant business problems (e-commerce).
- Experience with relevant technical methods (LTV modeling, NLP, LLMs, causal ML, bidding optimization).
- Ability to design and implement ML solutions without supervision.
- Strong communication skills and ability to work in a highly cross-functional team.
- An excitement and willingness to learn new tools and techniques.
Required skills
- Strong programming skills.
- LTV modeling, NLP, LLMs, causal ML, bidding optimization.
What we offer
- Pay range of $211,000 to $290,500 per year in San Francisco, plus eligibility for equity and benefits.
- Hybrid work: 3 days in the office per week, with remote work up to 4 weeks per year.
- Flexible paid time off, paid parental leave up to 16 weeks, and comprehensive health coverage.
- Fertility and family-building benefits, mental health support, professional development stipends and an employer-sponsored retirement plan.
Questions fréquentes
Why are you reporting this job?
Explore further
Salaries, guides and searches in the United States.
Salaries by job title
- Delivery Specialist 330
- Line Cook 258
- Restaurant Host 249
- Dishwasher 241
- Shift Supervisor 226
- Parts Specialist 208
- Retail Service Specialist 176
- Server - Red Robin 140
Apply in 30 seconds
Enter your email to apply. An account will be created automatically.
By continuing, you accept our terms of use.
Already have an account? Login
A question about this job?
Ask it here: you will get the full job summary by e-mail, right away.
Published 14 hours ago
Expires 1 month from now
2 views · 0 interested
Boost your chances
Upload your CV — we will match you with relevant openings.
Analyzing your CV...
Faire
San Francisco
Related job offers
-
Staff Product Manager, Storage & Edge Data
Fastly San Francisco -
Staff Product Manager, Compliance
Fastly San Francisco -
Staff Security Engineer - Bot & Traffic Defence
Faire San Francisco -
Ingénieur Identity and Access – Niveau II (H/F)
Texas Health Arlington -
Développeur·se Systèmes Financiers Étudiants (Student Finance Systems Developer)
Covista Remote / Hybrid (USA)