Senior AI/ML Engineer

Raw description: "We're a cutting-edge AI company building the next generation of machine learning platforms that power enterprise automation. Our team of 150+ engineers across 20 countries is revolutionizing how businesses integrate artificial intelligence.\n\n📋 Key Responsibilities:\n\n* Design and implement large-scale machine learning systems\n\n* Develop and optimize deep learning models for production environments\n\n* Build robust MLOps pipelines and monitoring infrastructure\n\n* Collaborate with cross-functional teams on AI product strategy\n\n* Mentor junior engineers and lead technical architecture decisions\n\n🎯 Required Qualifications:\n\n* 5+ years of experience in machine learning engineering\n\n* PhD in Computer Science, AI, or related field (or equivalent experience)\n\n* Expert-level Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure)\n\n* Strong background in distributed systems and microservices architecture\n\n* Experience with Kubernetes, Docker, and modern DevOps practices\n\n💼 Preferred Skills:\n\n* Experience with transformer models and large language models\n\n* Background in computer vision or natural language processing\n\n* Published research in top-tier ML conferences (ICML, NeurIPS, ICLR)\n\n* Leadership experience in agile development environments\n\n🎁 Comprehensive Benefits:\n\n* Competitive salary + equity package\n\n* $5,000 annual learning and development budget\n\n* Top-tier health, dental, and vision insurance (100% covered)\n\n* 4 weeks paid vacation + unlimited sick days\n\n* $3,000 home office setup allowance\n\n* Quarterly team retreats in amazing locations worldwide\n\n🌍 Remote-First Culture:\n\n* Fully distributed team with async-first communication\n\n* Flexible working hours across all time zones\n\n* State-of-the-art collaboration tools and infrastructure\n\n* Annual company-wide offsites for team building\n\n📚 Professional Growth:\n\n* Direct mentorship from ML industry leaders\n\n* Conference speaking opportunities and travel support\n\n* Open-source contribution time (20% of work hours)\n\n* Career advancement paths for both IC and management tracks\n"