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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Innovations as we pioneer the next wave of AI-driven solutions for 2026 and beyond. We're seeking a visionary Senior AI/ML Engineer to architect transformative machine learning systems that will shape the future of technology. Our multidisciplinary team tackles complex challenges in autonomous systems, predictive analytics, and generative AI. You'll collaborate with industry leaders to build scalable, ethical AI frameworks that solve real-world problems while pushing the boundaries of what's possible.

Why Nexus Innovations? We offer competitive equity packages, unlimited learning stipends, and a culture where your ideas directly impact product roadmaps. Our state-of-the-art lab in San Francisco's tech hub provides access to cutting-edge GPU clusters and a team of world-class researchers.

Responsibilities

  • Design and implement production-grade ML pipelines for next-gen autonomous systems
  • Lead research in generative AI models and transfer learning techniques
  • Collaborate with cross-functional teams to integrate AI solutions into core products
  • Develop ethical AI frameworks ensuring bias mitigation and regulatory compliance
  • Mentor junior engineers and conduct peer reviews of ML architectures
  • Optimize models for real-time inference on edge devices and cloud infrastructure
  • Contribute to 2026 technology roadmap through competitive analysis and trend forecasting

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years ML engineering experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed training frameworks
  • Proven track record deploying ML models at scale (AWS/GCP/Azure)
  • Strong foundation in MLOps, CI/CD pipelines, and containerization (Docker/Kubernetes)
  • Research publication record at NeurIPS/ICML/ICLR or equivalent
  • Experience with LLM fine-tuning and RLHF methodologies
  • Demonstrated ability to translate business requirements into technical specifications
  • Portfolio showcasing 3+ deployed AI systems with measurable impact

Required Skills

Machine Learning Python TensorFlow PyTorch AWS Deep Learning Data Science MLOps Generative AI Computer Vision NLP Kubernetes

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