AI Model Efficiency Intern — Research Scientist

Bitdeer (NASDAQ: BTDR); Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Bitdeer AI Lab is offering an internship to work on making AI models cheaper and faster to serve while preserving essential quality. You will implement and adapt efficiency techniques, study quantization, sparsity, pruning, and serving-time methods, and build rigorous evaluation to support claims.

This is a 3–6 month, full-time internship with a view to continuing with us for strong performers. Candidates should be undergrad/graduate students in CS/EE/Math, with strong Python and PyTorch skills,

Qualifications

• Undergraduate, Master's, and PhD candidates in Computer Science, Electrical Engineering, Mathematics, or related field. Commit to 3–6 months, full-time preferred.
• Strong programming ability in Python and hands-on familiarity with PyTorch.
• coursework or research in model efficiency: quantization, sparsity, pruning, speculative decoding, serving-time attention, KV-cache; publication welcome but not required.
• Depth in at least one project/paper/open-source contribution with end-to-end explanation.
• Solid understanding of transformer internals and rigorous evaluation: task-level metrics, honest baselines.
• Proven achievements in academics, engineering projects, open-source contributions, or competitions preferred.
• Deep enthusiasm for cutting-edge AI efficiency research with ownership and ability to deliver a presentable result during internship.

Responsibilities

• This internship focuses on making models cheaper and faster to serve without sacrificing quality. You will implement and adapt published methods and develop your own optimizations; build evaluation discipline to defend claims like “lossless at 2× throughput”.
• The internship scope is a single well-defined project that can produce a real result in 3–6 months, owned and presented by you; conversion to a full-time role is possible for strong performers.

Skills

Python

PyTorch

Transformer internals

Model efficiency

Quantization

Education

Undergraduate/Graduate student status

Job description

Bitdeer AI Lab is offering an internship to work on making AI models cheaper and faster to serve while preserving essential quality. You will implement and adapt efficiency techniques, study quantization, sparsity, pruning, and serving-time methods, and build rigorous evaluation to support claims.

This is a 3–6 month, full-time internship with a view to continuing with us for strong performers. Candidates should be undergrad/graduate students in CS/EE/Math, with strong Python and PyTorch skills,