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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nebula Dynamics
San Francisco
Salary Estimate
USD 160.000 – USD 250.000
Latest
Live Update
20 Mei 2026
Deadline
21 Mei 2027

Job Description

Are you a visionary engineer passionate about pushing the boundaries of artificial intelligence? Nebula Dynamics is seeking a Senior AI/ML Engineer to join our elite research and development team. We are building the next generation of cognitive systems that will revolutionize how humans interact with data. If you thrive in a fast-paced, innovative environment and want to tackle complex problems at scale, we want to hear from you.


Why Join Us?

  • Work on cutting-edge Deep Learning and NLP projects.
  • Competitive compensation and comprehensive benefits package.
  • Opportunity for equity and performance bonuses.
  • Flexible remote and hybrid work options.

Don't miss this chance to shape the future of technology. Apply today to become a part of our mission to redefine intelligence.

Responsibilities

  • Design & Deployment: Architect, train, and deploy state-of-the-art machine learning models into production environments.
  • Research: Conduct original research to advance the field of AI, focusing on scalability and efficiency.
  • Collaboration: Partner with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
  • Optimization: Continuously monitor and optimize model performance, latency, and accuracy.
  • Mentorship: Mentor junior engineers and provide technical leadership within the team.
  • Documentation: Maintain detailed technical documentation and API specifications.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 5+ years of professional experience in machine learning, deep learning, or natural language processing.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing frameworks (e.g., Spark, Kubernetes).
  • Statistics: Solid foundation in statistical analysis and experimental design.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex concepts to non-technical stakeholders.
  • Problem Solving: Demonstrated ability to troubleshoot complex system issues and drive innovative solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP SQL Cloud Computing Kubernetes Distributed Systems

Ready to Take on This Challenge?

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

Apply Now

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