9 days ago
Sunnyvale, CA, USAStaff+
Base Salary
$188k - $300k/yr
Responsibilities
- Lead end-to-end data exploration, analytics, and modeling on large-scale, multi-source data.
- Architect, design, develop, and deploy optimized data analytics algorithms, models, and solutions.
- Drive development of agentic AI applications using data processing and analytics pipelines.
Requirements
- Demonstrate in-depth theoretical and practical knowledge of data science and machine learning algorithms, including CNNs, RNNs, Transformers, and reinforcement learning.
- Have strong Python programming skills and extensive experience with data analysis and machine learning frameworks and libraries.
- Have experience designing, training, tuning, and evaluating machine learning models, including LLMs, computer vision, and time series models.
- Have expertise in data preprocessing, feature engineering, and advanced model evaluation techniques such as A/B testing and causal inference.
- A Master’s or PhD in a science or engineering field is preferred.
- Experience building and maintaining scalable big-data applications in a cloud environment is preferred.
Benefits
- Competitive compensation and equity program.
- Medical, dental, and vision health care plan.
- Flexible and dependent care expense program.
- 401(k) retirement plan.
- Basic, voluntary, and AD&D life insurance.
- Unlimited paid time off and 15 paid holidays per year.
- Hybrid office work arrangement and flexibility.
- Complimentary lunches, snacks, and beverages on on-site working days.
- Wellness benefit allowances for gym memberships and fitness programs.
- Internet reimbursement and computer accessory allowance.
- Departmental team building and outings, employee referral program, and employee satisfaction surveys.
Tech Stack
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