Home Job Details
H
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - San Francisco

Horizon 2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are building the future of intelligence. Horizon 2026 Technologies is seeking a visionary Senior AI/ML Engineer to lead our research and deployment of next-generation generative AI systems. By 2026, we aim to redefine human-computer interaction through autonomous agents and quantum-ready neural architectures.

In this role, you will not just write code; you will architect the very foundation of our AI ecosystem. You will work in a high-performance environment focused on Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), and edge-deployable inference engines.

Why join us? We offer competitive equity, remote flexibility, and the opportunity to work on projects that will define the technological landscape of the next decade.

Responsibilities

  • Architect Development: Design and implement scalable machine learning pipelines and distributed computing systems.
  • Model Optimization: Fine-tune and optimize state-of-the-art models (e.g., GPT-4, Llama 3) for reduced latency and increased accuracy.
  • Research & Prototyping: Explore cutting-edge research areas including reinforcement learning, multimodal AI, and ethical AI alignment.
  • Infrastructure: Collaborate with DevOps teams to deploy models to cloud and edge environments using Docker and Kubernetes.
  • Technical Leadership: Mentor junior engineers and conduct code reviews to ensure best practices in data science and software engineering.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years leading complex projects.
  • Programming: Expert proficiency in Python, PyTorch, or TensorFlow.
  • Knowledge: Deep understanding of NLP, Natural Language Understanding, and Deep Learning architectures.
  • Tools: Experience with cloud platforms (AWS/GCP/Azure) and version control (Git).

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS Kubernetes Generative AI LLMs RAG

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