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Senior AI/ML Engineer - Shaping the Future of 2026

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join our elite research division. As we prepare for the technological inflection point of 2026, we are building the next generation of autonomous agents and generative intelligence systems. You will be at the forefront of innovation, designing architectures that redefine human-machine interaction.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Model (LLM) projects.
  • Competitive compensation package including equity options.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Opportunity to influence the roadmap for the next decade.

If you are passionate about building scalable, ethical, and high-performance AI systems, we want to hear from you.

Responsibilities

  • Architect and implement robust MLOps pipelines for training, fine-tuning, and deploying large-scale models.
  • Lead the research and development of proprietary algorithms to improve model accuracy and reduce latency.
  • Collaborate with cross-functional teams of data scientists, product managers, and engineers to translate business requirements into technical solutions.
  • Optimize existing models for edge deployment and real-time inference.
  • Ensure data privacy, security, and compliance with industry standards (GDPR, CCPA).
  • Stay ahead of the curve by integrating emerging technologies (e.g., multimodal AI, federated learning) into our stack.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • Proven experience (5+ years) in building, training, and deploying Machine Learning models at scale.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP, Transformers, and LLM architectures (GPT, BERT, etc.).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning MLOps LLMs PyTorch TensorFlow Natural Language Processing AWS Docker Kubernetes Generative AI Deep Learning

Ready to Take This Challenge?

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