Job Description
We are at the precipice of a technological revolution, and Aetheria Labs is leading the charge. We are currently recruiting for our elite 'The 2026 Initiative', a division dedicated to architecting the autonomous systems and generative intelligence models that will define the next decade.
If you are a visionary engineer who refuses to settle for 'business as usual' and wants to build the infrastructure for tomorrow, we want to meet you. This is not just a job; it is an opportunity to shape the trajectory of human-computer interaction.
Why Join Us?
- Impact at Scale: Your work will directly influence millions of users across the globe.
- Future-Proof Tech Stack: Work with the bleeding edge of AI, Large Language Models (LLMs), and Edge Computing.
- Elite Culture: Join a diverse team of the brightest minds in Silicon Valley, working in a fully remote-first environment with quarterly in-person hackathons.
Responsibilities
- Architect Next-Gen Systems: Design and implement robust machine learning pipelines capable of processing petabytes of data in real-time.
- Lead Model Development: Spearhead the research and deployment of proprietary Generative AI agents designed for the 2026 standard.
- Optimize Performance: Minimize latency and maximize throughput for our neural network architectures using distributed computing techniques.
- Algorithm Innovation: Experiment with novel reinforcement learning techniques to improve autonomous decision-making capabilities.
- Technical Leadership: Mentor junior engineers and conduct code reviews to maintain the highest standards of software engineering excellence.
- Bridge the Gap: Translate complex technical concepts into actionable insights for product and executive stakeholders.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field.
- Experience: Minimum of 5+ years of professional experience building production-grade AI/ML systems.
- Core Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- System Design: Strong understanding of distributed systems, microservices architecture, and cloud infrastructure (AWS/GCP).
- Problem Solving: Demonstrated ability to tackle unstructured problems and derive novel solutions from first principles.
- Communication: Exceptional verbal and written communication skills, capable of explaining complex algorithms to non-technical audiences.