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We are currently partnering with a well-funded AI company building a next-generation AI Assistant and hiring several founding machine learning leaders.
Open positions:
• Principal Machine Learning Engineer
• Technical Lead, Machine Learning
• VP of Research, Machine Learning
The team is building production AI systems from the ground up, solving challenges around large-scale model training, inference, reasoning, memory, evaluation, GPU optimisation, and AI agents.
Ideal profile:
• 6–10+ years (Principal), 8–12+ years (Technical Lead), or 12–15+ years (VP of Research) in Machine Learning or AI
• Hands-on experience building and deploying production LLM or Generative AI systems
• Strong expertise in PyTorch or JAX, distributed training, model fine-tuning (LoRA, QLoRA, DPO, SFT, RLHF), and scalable inference
• Strong software engineering background with experience building reliable, production-grade ML platforms
• Proven track record of taking AI products from research through to production in fast-paced, high-ownership environments
If you're interested in learning more, or know someone who could be a good fit, feel free to reach out for a confidential conversation.
Job ID: 151553137
Skills:
Algorithms, data structures, Python, planning memory modules, retrieval graph algorithms, prompt engineering, Agent framework development, LLM fundamentals, RAG optimization, SFT for LLMs, fine-tuning workflows, RLHF
Skills:
Tensorflow, Machine Learning, Pytorch, Python, Computer Vision, Time-series analysis, Model optimization for real-time inference, IMU motion data, Human pose estimation, Signal processing fundamentals
Skills:
Jax, Pytorch, Python, Distributed machine learning systems, Model serving and deployment infrastructure, Modern data processing and orchestration frameworks, GPU-accelerated training and inference platforms
Skills:
Ml, Tensorflow, Nlp, Pytorch, Python, multimodal fusion, Cv, MLLM, Agent technologies, DL, Llm
Skills:
Jax, Pytorch, Python, Strong software engineering and production coding practices, GPU-based training and inference systems