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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer (2026 Vision)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to engineer the next era of artificial intelligence? Nexus Innovations is seeking a visionary Senior AI & Machine Learning Engineer to join our elite engineering team. As we pivot towards our 2026 strategic roadmap, we are looking for a technical leader who can architect scalable, next-generation AI solutions that redefine industry standards.

In this role, you won't just be writing code; you will be defining the architecture of the future. You will work at the intersection of deep learning, natural language processing, and real-time data pipelines, collaborating with world-class researchers and product strategists to build systems that are robust, ethical, and infinitely scalable.

Why Join Us?

  • Work on high-impact projects that define the future of tech.
  • Competitive compensation package with equity options.
  • Flexible work environment with a focus on well-being and professional growth.

Responsibilities

  • Design and deploy cutting-edge Large Language Models (LLMs) and generative AI agents optimized for enterprise use cases.
  • Optimize model inference latency and accuracy for high-volume production environments using advanced quantization and pruning techniques.
  • Collaborate with cross-functional teams to translate complex business requirements into robust, scalable technical solutions.
  • Establish best practices for MLOps, data governance, and ethical AI implementation to ensure compliance and reliability.
  • Lead code reviews, architecture planning, and mentorship of junior engineers to foster a culture of technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning engineering, deep learning, or NLP.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with vector databases (e.g., Pinecone, Milvus) and Retrieval-Augmented Generation (RAG) architectures.
  • Deep understanding of cloud infrastructure (AWS/GCP) and containerization technologies (Docker/Kubernetes).

Required Skills

Python Machine Learning Deep Learning NLP TensorFlow PyTorch MLOps AWS Docker Kubernetes LLM Generative AI

Ready to Take This Challenge?

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