Description:

Lead the development and integration of advanced machine learning models across various sectors, such as healthcare and entertainment.
Spearhead the entire machine learning lifecycle, from problem definition to model deployment.
Conduct cutting-edge research in AI and ML, implementing innovations into practical solutions.
Collaborate with cross-functional teams to translate business requirements into AI-driven technical solutions.
Mentor junior machine learning engineers to foster a culture of learning and innovation.
Develop and maintain scalable data pipelines for real-time analytics and machine learning applications.
Optimize machine learning algorithms for performance and scalability.
Stay updated on AI industry trends and incorporate new technologies to enhance capabilities.
Integrate AI and ML technologies into products and services to improve user experience.
Drive strategic initiatives to enhance AI capabilities through partnerships with academia and research institutions.
Participate in tech talks, workshops, and conferences to showcase work and explore collaborations.

Requirements:

Passion for AI and machine learning, with a visionary mindset and a drive to innovate.
6+ years of experience in machine learning, showcasing real-world AI applications.
Deep knowledge of ML algorithms, data structures, and statistical models for large-scale environments.
Proficiency in Python, C++, and ML frameworks like TensorFlow, PyTorch, or Huggingface.
Strong analytical and problem-solving skills, with excellent communication abilities.
Master’s or PhD in Computer Science, AI, Machine Learning, or related field.
Experience leading AI projects in a startup environment.
Track record of published research or contributions to open-source projects in AI and ML.
Advanced knowledge of cloud computing environments for deploying scalable ML solutions.
Experience in NLP, computer vision, and other AI subfields.

Competitive salary range ($230k - $300k) with significant equity in a growing AI firm.
Unlimited vacation policy, promoting work-life balance and flexibility.
Comprehensive health, dental, and vision insurance plans, wellness programs, and fitness allowances.
Access to continuous learning opportunities like conferences, workshops, and courses.
Vibrant, inclusive, and dynamic work culture emphasizing innovation, collaboration, and continuous improvement.