Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Visionary)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

About Nexus Horizon Labs: We are on a mission to architect the digital infrastructure for 2026 and beyond. We are seeking a visionary Senior AI/ML Engineer to spearhead the development of next-generation autonomous systems and generative AI models. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to build the technology that will define the future, we want to hear from you.

Why Join Us?

  • Work with cutting-edge technology stack (PyTorch, TensorFlow, CUDA).
  • Competitive equity package and remote-first flexibility.
  • Opportunity to shape the AI landscape for the next decade.

Key Responsibilities:

You will be responsible for designing, training, and deploying scalable machine learning models that power our core products. Your work will directly impact millions of users globally.

Responsibilities

  • Design and implement state-of-the-art machine learning models, focusing on Generative AI and Predictive Analytics.
  • Optimize deep learning pipelines for low-latency, high-throughput inference in production environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical requirements.
  • Conduct rigorous A/B testing and model evaluation to ensure product performance and reliability.
  • Mentor junior engineers and establish best practices for code quality and deployment.
  • Research and integrate emerging AI paradigms (e.g., Agentic workflows, Multimodal models) to stay ahead of 2026 trends.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning engineering or applied research.
  • Expert proficiency in Python, C++, and SQL.
  • Deep understanding of neural network architectures (Transformers, GNNs, RNNs).
  • Experience with MLOps tools (Kubernetes, Docker, MLflow, Airflow).
  • Strong grasp of distributed systems and cloud architecture (AWS/GCP).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Kubernetes AWS Generative AI Distributed Systems

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