21 hours ago
Base Salary
$145k - $176k/yr
Responsibilities
- Develop and optimize machine learning models for various applications.
- Preprocess and analyze large datasets to extract meaningful insights.
- Deploy machine learning solutions into production using appropriate tools and frameworks.
- Collaborate with data scientists, software engineers, product teams, and other cross-functional partners to integrate models into products and services.
- Monitor and evaluate the performance of deployed models.
- Build scalable machine learning pipelines and ensure data quality.
Requirements
- At least 3 years of relevant experience and a bachelor’s degree, or an equivalent combination of education and experience.
- Experience with TensorFlow, PyTorch, or scikit-learn.
- Familiarity with AWS, Azure, or GCP and tools for data processing and model deployment.
- Several years of experience designing, implementing, and deploying machine learning models.
- For the recent graduate position, a PhD in Computer Science or a related field from an accredited college or university and graduation within the past 12 months or by Spring 2027.
Benefits
- Balanced hybrid work model with 3 days in the office and 2 days at the office or home workspace.
- Comprehensive choice-based wellbeing programs covering physical, emotional, and financial wellbeing.
- Generous paid time off.
- Healthcare coverage for employees and their families.
- Financial security and mental health resources.
- No travel is required.
- Visa sponsorship is not available.
Tech Stack
Categories
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