Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - Future Tech Vision 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are Nexus Horizon Labs, a pioneering force in next-generation computing. As we accelerate towards the technological landscape of 2026, we are seeking a visionary Senior AI/ML Engineer to spearhead our research into Artificial General Intelligence (AGI) and Synthetic Data ecosystems.

In this role, you won't just write code; you will architect the neural pathways of the future. You will work at the intersection of Deep Learning, Natural Language Processing, and predictive analytics to build systems that learn, adapt, and evolve. If you are driven by the challenge of solving humanity's most complex problems with intelligent algorithms, we want to hear from you.

Why Join Us?
• Work on cutting-edge projects that define the tech stack of 2026.
• Competitive equity package and top-tier benefits.
• Collaborate with world-class researchers and engineers.

Responsibilities

  • Design and implement scalable machine learning pipelines for large-scale data processing and model training.
  • Research and prototype novel algorithms in the fields of Reinforcement Learning and Neuro-symbolic AI.
  • Optimize model inference for real-time applications, ensuring low latency and high accuracy.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Stay abreast of the latest advancements in AI research and evaluate their applicability to our roadmap.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of NLP, LLMs, and Generative AI architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying production-grade ML models.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Large Language Models AWS GCP Docker Kubernetes Agile Agile Research Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All