
Engineering Internship
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States, +1 more country.
• Collaborate with a diverse team to create and enhance an exceptional chess experience.
• Product Engineering: develop features and optimize systems, scaling for a globally recognized top 100 website.
• Product Engineering: play a role in shaping technology, architecture, workflow, and design choices.
• Product Engineering: add to the team's knowledge repository.
• AI/ML Engineering: refine data preprocessing and feature engineering workflows.
• AI/ML Engineering: create, train, and implement machine learning models.
• AI/ML Engineering: integrate machine learning models into Chess.com products.
• AI/ML Engineering: develop AI applications driven by large language models.
• Passion for chess and a desire to share it globally.
• Multidisciplinary approach; ability to navigate various relevant topics.
• Resilience; strong tolerance for ambiguity during the initial discovery phases.
• Capability to simplify complex projects and provide clear solutions.
• Agile mindset; able to optimize productivity and prepare for future growth.
• Comprehensive understanding of projects and company objectives.
• Innovative thinker who identifies unique technological solutions.
• Logical and intuitive perspective on AI and intelligent agents.
• Chess enthusiast.
• Strong sense of ownership and accountability.
• Outstanding communicator and collaborative team member.
• Currently enrolled in a degree program at a college or university, or in an equivalent bootcamp.
• Product Engineering: training, relevant coursework, or experience with HTML, CSS, TypeScript, Swift, Kotlin, Golang, Java, PHP, web application frameworks, and relational databases, preferably MySQL.
• AI/ML Engineering: solid mathematical foundation and knowledge of traditional machine learning algorithms.
• AI/ML Engineering: training, relevant coursework, or experience with Python, TypeScript, Go, Java, scikit-learn, PyTorch, large language models, retrieval-augmented generation, context engineering, evaluations, agentic patterns, SQL, BigQuery, MySQL, or Postgres.
• Fully remote work setup.
• Flexibility to work from any location.
• Opportunity to engage with a multidisciplinary team.
• Chance to influence technology, architecture, workflow, and design decisions.
• Opportunity to enhance the team's knowledge base.
Rich Products Australia
Coursedog
DaCodes.
DaCodes.
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