: Senior Director of AI & Machine LearningAre you a seasoned leader in software engineering with a passion for AI and a proven track record in building groundbreaking products? As the Senior Director of AI & Machine Learning, you'll be instrumental in shaping and delivering next-gen solutions that revolutionize industries and drive transformative change.Key Responsibilities:
Team Leadership: Lead, mentor, and inspire a high-performing team of software engineers, fostering a culture of innovation, collaboration, and technical excellence.
AI Strategy Development: Create and execute a comprehensive AI strategy that aligns with company goals, advancing our mission and vision.
Technical Leadership: Provide hands-on guidance and technical direction, ensuring the successful implementation of AI technologies that contribute to the success of ventures.
Product Oversight: Manage the end-to-end development of AI-driven products and services, ensuring they meet high standards of quality, scalability, and alignment with business objectives.
Research & Collaboration: Establish partnerships with leading research labs and AI experts to integrate the latest advancements in AI and stay at the forefront of innovation.
Innovation Culture: Cultivate a culture of exploration and innovation, encouraging the team to experiment with new AI methodologies and technologies.
Cross-Functional Collaboration: Work closely with product management, design, business development, and other teams to bring AI-driven products to life.
Technical Excellence: Ensure adherence to best practices in software engineering, including architecture design, coding standards, testing, and comprehensive documentation.
Talent Development: Attract and nurture top talent, fostering an environment of continuous learning, growth, and development within the engineering team.
Qualifications:
Education: Ph.D. in Statistics, Mathematics, Computer Science, Physics, Electrical or Computer Engineering, or a related field (required).
Research Expertise: Publication record in modeling paradigms such as LLMs, SLMs, multi-modal models, probabilistic graphical models, Bayesian networks, deep learning, reinforcement learning, time series, active learning, fair and interpretable AI, or optimization for machine learning (required).
Deep Learning Experience: Proficiency with deep learning frameworks (required).
AI Expertise: Extensive experience in AI technologies, including machine learning, deep learning, natural language processing, and computer vision (required).
Leadership Experience: Proven success in leading software engineering teams and delivering innovative products.
Technical Vision: Strong technical acumen and the ability to guide the team in implementing complex AI solutions.
Innovation Mindset: A passion for exploring new AI technologies and methodologies to drive business growth.
Strategic Thinking: Ability to align AI initiatives with broader business objectives and market demands.
Adaptability: Comfortable navigating a rapidly evolving technology landscape and adjusting strategies as needed.
Collaboration: Excellent interpersonal skills and the ability to collaborate effectively with cross-functional teams and external stakeholders.
What We Offer:
Proven success in large language models (LLMs) and significant traction within the open-source community.
Proprietary data to develop specialized models that set us apart in the industry.
Robust computing power to support an ambitious roadmap.
Anchor clients already signed on for developing proof of concepts and showcasing our solutions.