29 days ago
Base Salary
$176k - $230k/yr
Responsibilities
- Build and maintain software and tools supporting the full machine learning training lifecycle, including data collection, data preparation, training, deployment, and model serving.
- Build and maintain software and tools that enable effective use of GenAI and LLM technologies.
- Research developments in machine learning and apply relevant insights to the team’s infrastructure.
- Work independently and make safe, efficient changes to large and complex software systems.
Requirements
- At least 3 years of experience as a software engineer.
- Proficiency in Python and Java, with experience building scalable, high-performance systems and working across multiple languages.
- Familiarity with Azure and GCP cloud environments and deployment tools such as Docker and Kubernetes.
- A background in data infrastructure, platform infrastructure, or ML infrastructure is preferred.
- Experience in real estate, food technology, or related industries is a bonus but not required.
Benefits
- Medical, dental, and vision insurance, including HSA options.
- Company-paid short- and long-term life and disability insurance.
- Voluntary accident, critical illness, hospital indemnity, and supplemental life insurance options.
- Pet insurance discount, 401(k), HSA, and flexible spending accounts for healthcare, dependent care, and commuting.
- Discretionary vacation days, 8 paid holidays per year, paid sick time, paid bereavement leave, and paid parental leave.
- Full-time exempt role based onsite in San Francisco five days per week.
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