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Information Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Machine Learning Engineer, AI Research

Quantum Dynamics AI
San Francisco
Estimasi Gaji
USD 150.000 – USD 200.000
Live Update
2 Juni 2026
Batas Akhir
2 Jun 2027

Deskripsi Pekerjaan

Quantum Dynamics AI is at the forefront of AI innovation, pushing the boundaries of what's possible in machine learning. We are seeking a brilliant and driven Senior Machine Learning Engineer to join our elite AI Research team. This is an exceptional opportunity to work on groundbreaking projects, contribute to cutting-edge research, and shape the future of artificial intelligence. If you're passionate about solving complex problems, have a deep understanding of ML algorithms, and thrive in a collaborative, fast-paced environment, we want to hear from you!

In this role, you will be instrumental in designing, developing, and deploying advanced ML models that power our next generation of AI products. You'll collaborate closely with world-class researchers and engineers, turning theoretical concepts into tangible, high-impact solutions.

Tanggung Jawab

  • Design, implement, and optimize state-of-the-art machine learning models for diverse applications.
  • Conduct rigorous research and experimentation to advance the state-of-the-art in areas like deep learning, reinforcement learning, and natural language processing.
  • Develop scalable and efficient ML pipelines for training, evaluation, and deployment.
  • Collaborate with cross-functional teams to understand requirements and translate them into ML solutions.
  • Mentor junior engineers and contribute to the team's technical growth and knowledge sharing.
  • Stay abreast of the latest research and industry trends in AI and ML.
  • Publish research findings in top-tier conferences and journals.

Kualifikasi

  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in machine learning engineering or research.
  • Proven track record of developing and deploying production-ready ML models.
  • Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and Python.
  • Strong understanding of ML theory, algorithms, and statistical modeling.
  • Experience with large-scale data processing and distributed systems.
  • Excellent problem-solving, analytical, and communication skills.
  • Experience with cloud platforms (AWS, GCP, Azure) is a plus.

Keahlian yang Dibutuhkan

Machine Learning Deep Learning Artificial Intelligence Python TensorFlow PyTorch NLP Reinforcement Learning Data Science Algorithm Design Research Big Data Cloud Computing

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