Deskripsi Pekerjaan
Are you a visionary AI/Machine Learning Engineer ready to push the boundaries of intelligent systems? Quantum Minds Labs is seeking a passionate and experienced Senior AI/ML Engineer to join our cutting-edge R&D team in San Francisco. We're building the next generation of AI-powered solutions that will redefine industries and impact millions of lives globally.
At Quantum Minds, you'll work with a diverse group of brilliant minds, tackling complex challenges and developing innovative algorithms that transform raw data into actionable intelligence. This is an unparalleled opportunity to lead projects, mentor junior engineers, and contribute significantly to our core product offerings. If you thrive in a fast-paced, collaborative environment where your contributions directly shape the future of AI, we want to hear from you!
Join us and make your mark on the future. We offer a vibrant culture, competitive compensation, and unlimited growth potential.
Tanggung Jawab
- Design, develop, and deploy scalable machine learning models and algorithms for various applications.
- Lead the full ML lifecycle from data collection and preprocessing to model training, evaluation, and deployment.
- Collaborate with cross-functional teams including data scientists, software engineers, and product managers to define project scope and requirements.
- Research and implement state-of-the-art AI/ML techniques, staying abreast of industry trends and academic advancements.
- Optimize existing ML models for performance, efficiency, and scalability in production environments.
- Develop and maintain robust MLOps pipelines to automate model deployment and monitoring.
- Mentor junior engineers and contribute to fostering a culture of innovation and continuous learning within the team.
- Communicate complex technical concepts and findings clearly to both technical and non-technical stakeholders.
Kualifikasi
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of professional experience developing and deploying machine learning models in a production setting.
- Proficiency in Python and strong experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Demonstrable expertise in various machine learning algorithms, including deep learning, NLP, computer vision, or reinforcement learning.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (Kubernetes, Docker, MLflow, Airflow).
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Proven track record of delivering impactful ML-driven solutions and contributing to open-source projects is a plus.