10 days ago
Bellevue, WA, USAMid Level
H1B Sponsor
Base Salary
$161k - $200k/yr
Responsibilities
- Research and evaluate transformer-based architectures, large foundational models, and other emerging ML technologies.
- Develop and productionize scalable recommendation, ranking, personalization, classical tabular-data, and sequential-data ML models.
- Design reinforcement learning algorithms and multi-armed bandit strategies for dynamic decision-making.
- Design, conduct, monitor, and analyze A/B tests using rigorous statistical methods.
- Analyze experimental data and generate actionable insights for product and business decisions.
- Collaborate with engineering, data science, and marketing teams to integrate ML models into products.
- Build reusable machine learning libraries, support their use, and maintain documentation for libraries, models, experiments, and findings.
- Guide complex initiatives, contribute to strategic decisions, present results to stakeholders, and mentor team members.
Requirements
- Bachelor’s degree or foreign equivalent in Computer Science or a related field plus three years of experience in the offered role or a related occupation, or a master’s degree in Computer Science or a related field plus one year of such experience.
- Experience productionizing ML models focused on recommendations, ranking, or personalization.
- Experience developing models with classical ML techniques for tabular data and modern ML techniques for sequential data.
- Hands-on experience with large, distributed, high-scale ML application architectures.
- Experience producing business outcomes through comprehensive A/B testing and rigorous statistical analysis.
- Proficiency in Python, SQL, XGBoost, and PyTorch or TensorFlow for production-ready projects.
- Experience with Spark, Kafka, or Kubernetes.
- Successful completion of a background check is required.
Benefits
- Performance-driven compensation with bonus programs, equity ownership, and 401(k) matching.
- Health insurance fully paid for employees and 90% covered for dependents.
- Flexible lifestyle wallet for wellness, learning, and other eligible expenses.
- Employer-paid life and disability insurance, fertility benefits, and mental health benefits.
- Company holidays, paid time off, sick time, parental leave, and other time-off benefits.
- Catered meals, events, and comfortable workspaces.
- Hybrid Bellevue, Washington work arrangement with in-person attendance expected at least three days per week; telecommuting is permitted.
Tech Stack
Categories
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