Senior ML Engineer, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
$180,000 – $250,000Compensation
Senior (5 to 8 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data Science, AdvertisingIndustries
Requirements
Candidates should possess at least 5 years of experience in a relevant industry or academic background, preferably in a quantitative/modeling or highly scalable computing environment, with a PhD requiring at least 2+ years of industry experience in a Machine Learning Engineer or engineering role. They must have experience deploying models in production settings and working with ML or experimentation infrastructure, along with a strong understanding of the advertising domain and causal inference, including intent-to-treat estimators, ghost ads, and propensity score modeling.
Responsibilities
As a Senior Machine Learning Engineer, Causal Inference, you will lead projects from concept to rollout, ensuring high quality and performance, identify opportunities to enhance ad measurement capabilities, design and implement high-reliability experimentation systems, conduct code reviews and maintain engineering standards, design and develop statistical and applied machine learning models to measure ad effectiveness, collaborate with cross-functional stakeholders, mentor junior team members, share knowledge, and contribute to the technical growth of the team, and stay up-to-date on state-of-the-art causal inference, causal ML, and machine learning techniques.
Skills
Causal Inference
Propensity Score Modeling
Intent-to-Treat Estimators
Ghost Ads
Statistical Modeling
Applied Machine Learning
Model Deployment
Experimentation Systems
Code Review
Machine Learning
Data Measurement
C++
Python
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Key Metrics
San Francisco, CaliforniaHeadquarters
2005Year Founded
$1,177.1MTotal Funding
IPOCompany Stage
Consumer Software, EntertainmentIndustries
1,001-5,000Employees