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Founding AI/ML Research Engineer

Bjak · AI EngineeringA1
Apply on company site
full-timePosted 10mo ago

About the role

Join a self-funded, stealth AI group to shape core technical strategies for building a global consumer AI application, focusing on model development, training pipelines, and scalable deployment.

Responsibilities

  • Build end-to-end training pipelines: data → training → eval → inference
  • Design new model architectures or adapt open-source frontier models
  • Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation)
  • Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeed
  • Build data systems for high-quality synthetic and real-world training data
  • Develop alignment, safety, and guardrail strategies
  • Design evaluation frameworks across performance, robustness, safety, and bias
  • Own deployment: GPU optimization, latency reduction, scaling policies
  • Shape early product direction, experiment with new use cases, and build AI-powered experiences from zero
  • Explore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal models

Qualifications

  • Strong background in deep learning and transformer architectures
  • Hands-on experience training or fine-tuning large models (LLMs or vision models)
  • Proficiency with PyTorch, JAX, or TensorFlow
  • Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray)
  • Strong software engineering skills — writing robust, production-grade systems
  • Experience with GPU optimization: memory efficiency, quantization, mixed precision
  • Comfortable owning ambiguous, zero-to-one technical problems end-to-end

Skills

Required:Deep learning and transformer architecturesTraining large models (LLMs or vision models)PyTorch, JAX, or TensorFlowDistributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray)GPU optimization (memory efficiency, quantization, mixed precision)Software engineering for production systems

Benefits

  • Remote-first flexibility
  • Competitive compensation and performance-based bonuses
  • Insurance coverage, flexible time off, and global travel insurance
  • Opportunity to shape a new global AI product from zero
  • Influence over technical direction, model architecture, and product strategy
  • High-impact scope—core infrastructure of a global consumer AI product
  • Backed by a profitable US$2B group, with startup speed
  • Collaborate directly with founders and influence major decisions
Last updated Dec 11, 2025. Interested? Apply on the company site.
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