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Information Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Machine Learning Engineer

Nexus AI Labs
San Francisco
Estimasi Gaji
USD 180.000 – USD 250.000
Waktu Posting
8 November 2026
Batas Akhir
8 Nov 2027

Deskripsi Pekerjaan

About the Role

Nexus AI Labs is seeking a Senior Machine Learning Engineer to spearhead the development of next-generation AI models that power our core products. You will work at the intersection of research and production, transforming cutting-edge algorithms into scalable, robust systems.

Why Join Us?

  • Work on high-impact projects with real-world applications.
  • Access to massive compute infrastructure (GPU clusters).
  • Generous equity package and top-tier benefits.
  • Culture of innovation, publishing, and open-source contribution.

Tanggung Jawab

  • Design, train, and optimize large-scale deep learning models (LLMs, Vision, Multimodal).
  • Build and maintain end-to-end MLOps pipelines for continuous training, evaluation, and deployment.
  • Collaborate with research scientists to prototype and productionize novel architectures.
  • Implement distributed training strategies across multi-node GPU clusters.
  • Establish rigorous model monitoring, drift detection, and A/B testing frameworks.
  • Mentor junior engineers and define best practices for ML development.
  • Optimize inference latency and cost for high-throughput serving environments.
  • Stay current with SOTA literature and evaluate applicability to product roadmap.

Kualifikasi

  • MSc or PhD in Computer Science, Machine Learning, or related quantitative field.
  • 5+ years of industry experience building and deploying ML models at scale.
  • Expert proficiency in Python and major frameworks (PyTorch, TensorFlow, JAX).
  • Deep understanding of transformer architectures, diffusion models, or reinforcement learning.
  • Proven experience with distributed training (FSDP, DeepSpeed, Megatron-LM).
  • Strong software engineering fundamentals (CI/CD, Docker, Kubernetes, Git).
  • Experience with cloud platforms (AWS/GCP/Azure) and ML managed services (SageMaker, Vertex AI).
  • Publications at top-tier venues (NeurIPS, ICML, ICLR, CVPR) or significant open-source contributions preferred.

Keahlian yang Dibutuhkan

Python PyTorch TensorFlow JAX MLOps Kubernetes Docker AWS GCP Distributed Training Transformers LLMs Computer Vision CI/CD Model Optimization

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