Senior Software Engineer - Machine Learning Infrastructure
CloudKitchens1 month ago
Base Salary
$176k - $230k/yr
Responsibilities
- Build and maintain software and tools supporting the full classical machine learning lifecycle, including data collection, preparation, training, deployment, and model serving.
- Build and maintain software and tools that enable effective use of GenAI and LLM technologies.
- Research innovations in machine learning and apply relevant insights to the team.
- Work independently, learn large codebases, and make safe and efficient changes to complex systems.
Requirements
- At least 3 years of software engineering experience.
- 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 including Docker and Kubernetes.
- 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 with multiple plans and HSA options.
- Company-paid short- and long-term life and disability insurance.
- Voluntary accident, critical illness, and hospital indemnity insurance.
- Optional supplemental life insurance for employees and eligible family members.
- Pet insurance discount, 401(k), HSA, and flexible spending accounts for healthcare, dependent care, and commuting.
- Discretionary vacation, 8 paid holidays, paid sick time, paid bereavement leave, and paid parental leave.
- Full-time exempt USA benefits; the role is onsite in San Francisco five days per week.
Categories
About CloudKitchens
We provide kitchen infrastructure and software that empower food & beverage operators to expand their operations with minimal upfront capital and time.