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Senior AI/ML Engineer - 2026 Strategic Initiative

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

Job Description

Join the Architects of Tomorrow.

Nexus Horizon Labs is pioneering the next generation of adaptive intelligence. We are seeking a visionary Senior AI/ML Engineer to spearhead our 2026 strategic roadmap, focusing on next-gen neural architectures and predictive data modeling. If you are driven by the challenge of defining the future of human-machine interaction, this is your opportunity to lead at the frontier of technology.

Why Join Us?

  • Work on cutting-edge research with a multi-disciplinary team of quantum physicists and data scientists.
  • Competitive compensation package including equity and performance bonuses.
  • Unlimited PTO and a flexible remote-first hybrid culture.

Responsibilities

  • Lead the research and development of proprietary deep learning models tailored for high-frequency, low-latency environments.
  • Architect scalable data pipelines capable of ingesting petabytes of real-time streaming data.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct rigorous testing and validation of algorithms to ensure ethical AI deployment and bias mitigation.
  • Present technical findings and strategic roadmaps to executive leadership and stakeholders.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of professional experience in machine learning, deep learning, or natural language processing.
  • Proficiency in programming languages such as Python, PyTorch, and TensorFlow.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps practices.
  • Proven track record of deploying production-grade machine learning models at scale.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Cloud Computing Distributed Systems Data Architecture

Ready to Take This Challenge?

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