about 4 hours ago
Base Salary
$152k - $277k/yr
Responsibilities
- Design features and build large-scale machine learning models to improve ad targeting and engagement.
- Implement ML systems for search ranking, semantic retrieval, and personalized product discovery.
- Drive innovation in search relevance and user intent modeling using large language models.
- Build and optimize ML pipelines ensuring reproducibility and scalability.
- Define and track key performance metrics to evaluate model impact.
- Collaborate with product, engineering, and data science teams to align solutions with business goals.
- Mentor and grow engineering talent, fostering a culture of technical excellence.
Requirements
- Bachelor's degree in computer science, electrical engineering, mathematics, or related fields.
- 4+ years of professional experience in applied machine learning.
- Experience in machine learning, deep learning, and statistical modeling.
- Proficiency in Python and/or Java for building production-grade ML systems.
- Master’s or PhD in relevant technical fields is preferred.
- Experience with search systems, information retrieval, or recommendation engines.
- Familiarity with cloud platforms like AWS or Google Cloud Platform.
- Hands-on experience with modern ML frameworks such as TensorFlow or PyTorch.
- Excellent communication skills for explaining complex concepts to diverse stakeholders.
Benefits
- Annual bonus of 0-20% of base salary.
- Comprehensive medical, dental, vision, and life insurance.
- Flexible Spending Accounts (FSA) and Health Savings Account (HSA).
- 401K Plan with Company Match.
- 18-21 days of Paid Time Off (PTO) based on tenure.
- 6 weeks Paid Parental leave.
- Pre-tax commuter benefits and free electric car charging station.
Tech Stack
Apache AirflowApache SparkAWSGoogle BigQueryGoogle Cloud PlatformH2O.aiJavaKerasLightGBMMLflowPythonPyTorchscikit-learnTensorFlowXGBoost