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Senior Machine Learning Engineer (2026 Vision)

Apex Future Tech
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of Artificial Intelligence?

Apex Future Tech is a pioneer in generative intelligence, building the next generation of Large Language Models that will redefine human-computer interaction by 2026. We are seeking a visionary Senior Machine Learning Engineer to lead our R&D division.

In this role, you won't just maintain existing systems; you will pioneer the algorithms that power our global ecosystem. We are looking for a builder who thrives in ambiguity and is obsessed with pushing the boundaries of what is possible in Deep Learning.

Why join us?

  • Future-Forward Impact: Work on core infrastructure designed for the scale of 2026 and beyond.
  • Top-Tier Team: Collaborate with world-class researchers and engineers from leading tech institutions.
  • Unlimited PTO & Wellness: We believe in sustainable high performance.
  • Equity Package: Significant ownership stake in a unicorn company.

Responsibilities

  • Design, train, and deploy scalable state-of-the-art neural networks and transformer models.
  • Lead the end-to-end MLOps lifecycle, ensuring high availability and real-time inference.
  • Conduct cutting-edge research in NLP and multimodal learning to drive product innovation.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Optimize model performance for latency and throughput in production environments.
  • Collaborate with product managers to translate complex AI capabilities into user-centric features.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of distributed systems, GPU optimization, and cloud infrastructure (AWS/GCP).
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or shipping high-impact products.
  • Strong background in Reinforcement Learning or Generative Adversarial Networks is a major plus.

Required Skills

Python PyTorch TensorFlow MLOps AWS Docker Kubernetes NLP Deep Learning Machine Learning SQL

Ready to Take This Challenge?

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

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