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Tech Stack
Tools & technologiesBigQueryJavaKotlinMySQLPHPPostgresPythonPyTorchScikit-LearnSQLSwiftTypeScriptGo
About the role
Key responsibilities & impact- Work with a multidisciplinary team to design and build the best possible chess experience
- Product Engineering: build features and optimize systems, scaling for a global top 100 website
- Product Engineering: contribute to technology, architecture, workflow, and design decisions
- Product Engineering: contribute to the team knowledge-base
- AI/ML Engineering: optimize data preprocessing and feature engineering pipelines
- AI/ML Engineering: develop, train, and deploy ML models
- AI/ML Engineering: integrate ML models into Chess.com products
- AI/ML Engineering: build AI applications powered by LLMs
Requirements
What you’ll need- Love chess and want to share it with the world
- Multidisciplinary; ability to switch between relevant subject matter
- Resilient; high tolerance for ambiguity during initial discovery phases
- Ability to simplify complex projects and offer simplified solutions
- Agile; able to maximize output/productivity and future-proof for growth
- Holistic understanding of projects and company goals
- Unorthodox thinker who finds novel technology solutions
- Logical and intuitive approach to AI and agents
- Chess player
- Sense of ownership and responsibility
- Excellent communicator and team player
- Degree-seeking student currently enrolled at a college or university or 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: strong math foundation and understanding of traditional ML algorithms
- AI/ML Engineering: training, relevant coursework, or experience with Python, TypeScript, Go, Java, scikit-learn, PyTorch, LLMs, RAG, context engineering, evals, agentic patterns, SQL, BigQuery, MySQL, or Postgres
Benefits
Comp & perks- Fully remote work arrangement
- Work from anywhere
- Opportunity to work with a multidisciplinary team
- Opportunity to contribute to technology, architecture, workflow, and design decisions
- Opportunity to contribute to the team knowledge-base