Research Scientist (ICML)

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 closely with data scientists and researchers to ensure model accuracy and performance

Requirements

• Bachelor's degree in Computer Science, Applied Mathematics, Statistics, or related field
• Strong programming skills in Python, R, or similar 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

• Deep Learning
• Reinforcement Learning
• Natural Language Processing
• Machine Learning
• Python
• TensorFlow
• Keras
• PyTorch

Benefits

• Health insurance
• Medical, vision & dental
• 401(k) with employer match
• Daily meals
• Daily UberEats stipend
• Commute covered
• Uber stipend for safe transportation
• Wellness stipend
• Monthly — covers Equinox membership

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time positions are typically 40 hours per week, while internships vary based on program requirements.