Business Operations Generalist

Careers

About the role

Behind our exceptional training data is an equally exceptional team. With a founding team that left jobs at Goldman Sachs, McKinsey, Jane Street, Palantir, NVIDIA, Google, and top startups, we’re seeking exceptional talent to own one of the defining problems of our generation.

Responsibilities

• Develop and maintain cutting-edge machine learning models
• Collaborate with cross-functional teams to define and implement new features
• Contribute to the design and development of scalable infrastructure solutions
• Stay up-to-date with the latest advancements in applied AI and machine learning
• Work on a diverse range of projects from data collection to model deployment

Requirements

• Bachelor's degree in Computer Science, Applied Mathematics, Statistics, or related field
• Strong programming skills in Python, R, or other relevant languages
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
• Understanding of neural networks, reinforcement learning, and natural language processing
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team

Qualifications

• Experience with large-scale data processing and analysis
• Knowledge of cloud platforms like AWS, GCP, or Azure
• Experience with distributed systems and microservices architecture
• Strong communication and interpersonal skills

Skills

• Python, R, or other relevant programming languages
• Deep learning frameworks (TensorFlow, PyTorch, Keras)
• Neural networks, reinforcement learning, natural language processing
• Cloud platforms (AWS, GCP, Azure)
• Distributed systems, microservices architecture

Benefits

• Health insurance with medical, vision, and dental coverage
• 401(k) with employer match
• Daily meals provided
• Daily UberEats stipend
• Commute covered
• Uber stipend for safe transportation
• Wellness stipend
• Equinox membership included monthly

Pay

Competitive salary based on experience and qualifications

Schedule

Full-time positions available