about 3 hours ago
Menlo Park, CA, USAMid Level / Senior
H1B Sponsor
Base Salary
$162k - $200k/yr
Responsibilities
- Build, test, and release product-facing features with stringent correctness and scalability requirements.
- Design, develop, and maintain machine learning models and AI-powered services.
- Implement end-to-end ML pipelines, including data ingestion and model deployment.
- Collaborate with product, data, and engineering teams to create machine learning solutions.
- Own ML components throughout their full lifecycle, from experimentation to production monitoring.
- Improve model performance and reliability through validation and optimization.
- Integrate ML models into production systems for low-latency inference.
- Monitor model performance and participate in debugging and incident response.
- Apply software engineering best practices to ML codebases.
- Ensure ML systems adhere to security, privacy, and compliance requirements.
- Document model designs and operational considerations.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
- Three years of experience in software engineering or a related occupation.
- Proficiency in JavaScript and TypeScript.
- Experience with HTML, CSS, and frontend web frameworks.
- Knowledge of RESTful APIs and state management frameworks.
- Familiarity with unit and integration testing frameworks.
- Experience with performance, accessibility, security, and version control tools.
- Background checks are required.
Benefits
- Challenging, high-impact work to grow your career.
- Performance-driven compensation with bonuses and equity ownership.
- 100% paid health insurance for employees and 90% for dependents.
- Flexible benefits spending account for wellness and learning.
- Employer-paid life and disability insurance, fertility benefits, and mental health support.
- Time off for company holidays, paid time off, sick leave, and parental leave.
- Exceptional office experience with catered meals and comfortable workspaces.