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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer (2026 Vision)

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

Job Description

We are a pioneering tech firm dedicated to shaping the landscape of Artificial Intelligence for the year 2026 and beyond. Our mission is to bridge the gap between theoretical machine learning and practical, scalable applications that redefine human-computer interaction.

The Role:

We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite R&D division. In this position, you will be at the forefront of developing next-generation generative models and autonomous systems. If you are passionate about the future of tech and want to leave a lasting impact on the industry, this is the opportunity for you.

Why Join Us?

  • Work with cutting-edge technology and state-of-the-art frameworks.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a premium office in San Francisco.

Responsibilities

  • Model Development: Design, train, and fine-tune large-scale deep learning models using Python, PyTorch, and TensorFlow.
  • System Architecture: Architect scalable machine learning pipelines and deployment strategies on cloud infrastructure (AWS/GCP).
  • Research & Innovation: Conduct cutting-edge research in Natural Language Processing (NLP) and Computer Vision to solve complex real-world problems.
  • Optimization: Optimize model inference speeds and reduce computational costs for high-volume applications.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying production-ready models.
  • Technical Skills: Proficiency in Python, SQL, and experience with MLOps tools (Docker, Kubernetes, MLflow).
  • Frameworks: Deep expertise in PyTorch or TensorFlow, and familiarity with Transformer architectures (BERT, GPT).
  • Soft Skills: Strong problem-solving abilities, excellent communication skills, and a passion for ethical AI development.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Docker Kubernetes Data Science

Ready to Take This Challenge?

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