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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Shaping 2026

Apex Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to architect the technological landscape of 2026. If you are passionate about Generative AI, Large Language Models, and building scalable systems that redefine human-computer interaction, this is your opportunity to lead.

At Apex Future Systems, we don't just predict the future; we engineer it. Join a team of elite engineers and data scientists dedicated to pushing the boundaries of artificial intelligence and creating the next generation of digital experiences.

Why Join Us?

  • Work on cutting-edge projects that define the industry.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium office amenities.
  • Continuous learning budget for conferences and certifications.

Responsibilities

  • Design, implement, and deploy scalable machine learning pipelines for next-gen applications.
  • Optimize large language models (LLMs) for inference speed, memory efficiency, and accuracy.
  • Collaborate with cross-functional product teams to translate complex technical requirements into innovative, user-centric solutions.
  • Stay ahead of emerging trends in AI, including Quantum AI, Neuromorphic computing, and agentic workflows.
  • Mentor junior engineers and foster a culture of technical excellence, code quality, and innovation.
  • Conduct code reviews, technical architecture planning, and system design sessions.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Proficiency in Python, PyTorch, and TensorFlow frameworks.
  • Strong understanding of LLM fine-tuning, RAG architectures, and prompt engineering.
  • Experience with cloud infrastructure (AWS/GCP) and containerization technologies (Docker/Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM Generative AI Cloud Computing Docker Kubernetes AWS GCP

Ready to Take This Challenge?

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

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