Staff Applied Scientist (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Staff Applied Scientist (AI/ML): Leading applied research and model development for a high-scale ecommerce recommendation system with an accent on auction and decisioning logic. Focus on optimizing multi-sided marketplace value and implementing advanced ML architectures like Transformers and Reinforcement Learning.
Location: Hybrid (Austin, Texas, US) - 4 days in-office required
Salary: $290,000 - $360,000 (Fixed) + Equity
Company
is an ecommerce technology company using proprietary machine learning recommendation systems to make every transaction more relevant.
What you will do
- Lead the research, design, and deployment of ML systems powering 10B+ annual transactions.
- Optimize auction and decisioning logic to maximize value across the multi-sided marketplace.
- Prototype new modeling approaches and conduct rigorous applied ML research.
- Collaborate with product and engineering teams to translate complex business needs into practical ML solutions.
- Provide technical leadership to a small team of specialists and set standards for architectural best practices.
Requirements
- PhD or equivalent in CS, Statistics, Mathematics, or a related field specializing in ML, AI, or Information Retrieval.
- 10+ years of industry experience building production-grade ML systems.
- Deep expertise in at least two areas: ML for Ads/Ecommerce, Deep Learning (Transformers, GNNs), Bayesian Modeling, RL, or Price Optimization.
- Experience leading PhD-level scientists and engineers on complex projects.
- Must be based in or be able to work from Austin, Texas.
Culture & Benefits
- Equity in a profitable, fast-growing company.
- Dollar-for-dollar 401K matching plan (up to 4%).
- Fully funded health, dental, and optical insurance.
- Daily catered lunch, stocked pantry, and fridges.
- Generous allowances for wellness, technology, mobile, and transit.
Hiring process
- Initial 15-minute online aptitude test.
- Subsequent interviews with recruiting and technical teams.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β