AI Research Scientist

ABOUT CLIENT

Our client is a leading research company specializing in technology innovation

JOB DESCRIPTION

Driven by Intellectual Curiosity: Relentlessly explore the unknown, ask sharp questions, and challenge assumptions.
Constructively Combative: Engage in thoughtful debate to uncover truth, refine ideas, and push boundaries.
Experimental Mindset: Design and run AI experiments, analyze outcomes rigorously, and iterate with purpose.
User-Centered Innovation: Adapt AI systems to solve real-world problems and elevate the experience of Menlo's users.
Stay on the Cutting Edge: Continuously learn, absorb state-of-the-art research, and apply it with discernment.
Rapid Prototyping & Iteration: Ideate, implement, debug, and accelerate the cycle of experimentation and insight.
Robust Engineering: Build modular, maintainable training codebases that scale and evolve gracefully.
Efficient Data Infrastructure: Develop high-performance data loaders and utilities to streamline training workflows.
Scalable Training Systems: Architect jobs to run seamlessly across multi-GPU and multi-node setups (e.g., DDP, NCCL).
Performance Optimization: Tune models for speed, stability, and hardware efficiency without compromising accuracy.
Code Quality & Reproducibility: Write clean, testable, and reproducible code that stands the test of time.
Open Source Stewardship: Actively contribute to and improve the broader ecosystem through upstream collaboration.

JOB REQUIREMENT

Strong proficiency in PyTorch, including custom modules, loss functions, and distributed training
Demonstrated experience in training deep learning models in real-world research or production settings
Proficient engineering skills in Python, and optionally C++ for performance-critical components
Experience in working with large datasets, complex pipelines, and real-world debugging
Understanding of training dynamics and the ability to identify and resolve issues
Familiarity with job launchers, logging tools (e.g., Weights & Biases, TensorBoard), and checkpointing systems
Previous involvement with TorchScript, ONNX, or custom inference runtimes
Contributions to PyTorch or open-source ML tooling
Experience with transformer models, diffusion models, or large-scale vision/NLP tasks
Familiarity with batch schedulers (SLURM), cluster environments, and GPU resource management
Ability to collaborate closely with systems engineers or MLOps teams to ensure smooth integration

WHAT'S ON OFFER

Join a top-notch research team in working on impactful projects
Take ownership of and contribute to the development of the core training code infrastructure
Engage with real models, data, and scale, tackling substantial problems
Support in bridging the gap between research speed and engineering excellence
Enjoy a flexible work setup and a culture that promotes depth, clarity, and curiosity

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Data Science

Location:

Others - Singapore

Working Policy:

Remote

Job ID:

J01854

Status:

Close

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