Job Description
Are you ready to define the future of Artificial Intelligence?
Aether Dynamics is leading the charge on Project 2026, a groundbreaking initiative aimed at revolutionizing autonomous decision-making systems. We are seeking a visionary Senior AI Research Scientist to join our elite team in San Francisco and architect the next generation of intelligent models.
In this role, you won't just implement existing algorithms; you will push the boundaries of what's possible, creating scalable, robust, and ethical AI solutions that solve real-world problems at scale.
Why you belong with us:
- Work on high-impact, cutting-edge AI research.
- Competitive compensation package ($180k - $250k) with equity options.
- Collaborate with a world-class team of engineers and data scientists.
- Flexible remote-first culture with premium office amenities in the heart of SF.
Responsibilities
- Lead R&D Initiatives: Spearhead the research and development of novel deep learning architectures and algorithms tailored to Project 2026 objectives.
- Model Optimization: Design, train, and optimize large-scale machine learning models for production environments, ensuring high accuracy and low latency.
- Technical Leadership: Mentor junior researchers and engineers, conducting code reviews and technical architecture sessions to maintain high engineering standards.
- Deployment Strategy: Collaborate with the MLOps team to deploy models to scalable cloud infrastructure (AWS/GCP) and establish robust monitoring pipelines.
- Innovation: Stay abreast of the latest academic literature and industry trends to integrate cutting-edge techniques into our workflow.
- Documentation: Create comprehensive technical documentation, white papers, and patents for proprietary technologies developed.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
- Experience: 5+ years of professional experience in AI/ML, with a strong focus on deep learning frameworks.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; experience with MLOps tools (Kubeflow, MLflow, Airflow).
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP) or Computer Vision (choose one or keep broad).
- Research: A track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or significant contributions to open-source projects.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and cross-functional teams.
- Problem Solving: Strong analytical skills and a relentless drive to solve ambiguous problems.