Job Description
Are you ready to engineer the future? Aether Dynamics is seeking a visionary Senior AI Engineer to spearhead our groundbreaking 2026 Vision Initiative. We are building the next generation of autonomous predictive systems, and we need a technical leader who thrives in ambiguity and is passionate about pushing the boundaries of artificial intelligence.
In this high-impact role, you will be at the forefront of developing next-gen algorithms that will define our market position for the decade ahead. You will work in a fast-paced, collaborative environment with some of the brightest minds in tech, focusing on scalability, efficiency, and ethical AI implementation.
Why Join Us?
• Work on mission-critical projects with a direct impact on global operations.
• Competitive compensation and equity package.
• Flexible remote-first policy with premium office amenities in SF.
Responsibilities
- Lead the architecture and development of proprietary machine learning models for the 2026 Initiative, ensuring high performance and low latency.
- Collaborate with product managers and data scientists to translate complex business requirements into robust technical solutions.
- Optimize existing neural networks and data pipelines to handle real-time processing at scale.
- Mentor junior engineers and code reviewers, fostering a culture of continuous learning and technical excellence.
- Stay abreast of the latest advancements in AI research to integrate cutting-edge methodologies into our stack.
- Ensure all AI implementations adhere to strict ethical guidelines and compliance standards.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (5+ years of relevant experience).
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong experience designing distributed systems and handling big data workloads (Spark, Hadoop, or similar).
- Proven track record of deploying AI models into production environments.
- Excellent problem-solving skills with a focus on mathematical modeling and algorithm optimization.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).