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Senior AI/ML Engineer - Future Tech 2026

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

Job Description

Are you ready to architect the technology of tomorrow? Nexus Innovations is seeking a visionary Senior AI/ML Engineer to lead our research into General Artificial Intelligence and autonomous systems.

As a key player in our Future Tech 2026 division, you will not just write code; you will define the neural architectures that will redefine human-machine interaction. Working out of our flagship hub in San Francisco, you will tackle complex, unsolved problems in deep learning, natural language processing, and robotics.

We offer a competitive compensation package, equity options, and an environment that rewards radical thinking and technical excellence.

Responsibilities

  • Design and deploy scalable, production-ready machine learning models for next-generation robotics and IoT applications.
  • Optimize existing algorithms to improve inference speed and model accuracy in real-time environments.
  • Collaborate with a cross-functional team of hardware engineers, data scientists, and product managers to define technical requirements.
  • Conduct cutting-edge research to identify and implement novel methodologies in deep reinforcement learning.
  • Ensure the security, scalability, and data integrity of all AI training pipelines.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Proven track record of deploying large-scale ML models into high-traffic production environments.
  • Strong proficiency in Python, C++, and distributed computing systems (Kubernetes, Spark).
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and MLOps practices.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow C++ Kubernetes AWS MLOps

Ready to Take This Challenge?

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