Benefits:

• Competitive package

• Comprehensive benefits

• Generous vacation

• Potential equity

• Growth & learning funding

Experience Requirements:

• Proficiency in TypeScript, Python, or Go

• Experience with micro-services and REST/GraphQL APIs

• Experience with event-driven architectures

• Familiarity with containerization (Docker/Kubernetes)

• Experience with cloud platforms (AWS, Azure, or GCP)

Other Requirements:

• Curiosity for modern tech

• AI/ML enthusiasm

• Collaborative mindset

• Clear communication

• Bonus points for manufacturing systems/IoT

Responsibilities:

• Design, build, and scale cloud-native services

• Own features end-to-end

• Collaborate with agile team

• Develop AI-driven capabilities

• Champion DevOps best practices

Education Requirements:

• Bachelor’s degree

• MBA preferred but not required

Experience Requirements:

• 5+ years of experience in tech, VC, consulting, finance, or operations in a high growth startup environment

Other Requirements:

• Scrappy, get shit done mentality

• Willingness to coach and be coached

Responsibilities:

• Commercial Strategy Development

• Operational Excellence and Performance Monitoring

• Team Building and Management

• Stakeholder Management and Fundraising

• Oversee project budgets and finances

Education Requirements:

• Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Experience with scalable training-inference pipelines

• Familiarity with AWS, GCP, Azure, etc.

• Proficiency in Python, Bash, or PowerShell

• Proficiency in frameworks like PyTorch or TensorFlow

• Experience with Docker and Kubernetes

Responsibilities:

• GPU Programming

• Cloud Supercomputing

• Host Management

Education Requirements:

• Bachelor’s degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Willingness to dive into large ML codebases for debugging

• Demonstrated experience with deep learning and transformer models

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Collaborate with researchers and scientists to implement and scale POC models

• Rapidly implement state-of-the-art methods from literature

• Train large-scale foundation models

• Build distributed training systems on HPC clusters

• Debug and customize third-party source code

Education Requirements:

• PhD degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 5+ years of experience in relevant jobs

• Proven track record of successful machine learning research projects

Other Requirements:

• First-author publications at peer-reviewed AI conferences

• Strong scientific understanding of generative AI

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Deep understanding of machine learning research

• Manage and execute a research agenda

• Developing proof-of-concept models

• Preparation and writing of technical and scientific papers