Software Engineering Intern

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
• Optimize model performance and efficiency
• Contribute to the design and implementation of scalable infrastructure solutions
• Work on a variety of projects related to applied AI, reinforcement learning environments, security, and platform engineering
• Collaborate with researchers to develop novel algorithms and techniques

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field
• Strong programming skills in Python, C++, or other relevant languages
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
• Understanding of reinforcement learning and its applications
• Experience with cloud platforms like AWS, GCP, or Azure
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team

Qualifications

• Passionate about using technology to solve complex problems
• Willingness to learn and adapt to new technologies and methodologies
• Strong communication and interpersonal skills
• Experience with data science tools and techniques

Skills

• Machine Learning
• Deep Learning
• Reinforcement Learning
• Cloud Computing
• Data Science
• Python
• C++
• TensorFlow
• Keras
• PyTorch

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 covered monthly

Pay

Competitive salary and equity package based on experience

Schedule

Full-time positions available