Job Description
We are looking for a visionary leader to spearhead Project 2026, our decade-defining initiative to integrate autonomous AI agents into our core product suite. In this role, you will architect the next generation of machine learning infrastructure, ensuring scalability, security, and performance for applications that will define the future of enterprise technology. If you are passionate about pushing the boundaries of what is possible in Generative AI and Deep Learning, this is your opportunity to build the foundation for 2026 and beyond.
Why Join Us?
- Work on mission-critical infrastructure used by millions.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a hub in San Francisco.
- Access to cutting-edge hardware and GPU clusters.
Responsibilities
- Define and execute the technical roadmap for Project 2026, aligning AI capabilities with business objectives.
- Design and implement scalable distributed machine learning pipelines using cloud-native technologies.
- Lead a high-performance team of ML engineers and data scientists to prototype and deploy state-of-the-art models.
- Optimize model inference latency and throughput to ensure real-time user experiences.
- Establish best practices for MLOps, including automated testing, CI/CD, and model monitoring.
- Collaborate with product managers to translate complex AI concepts into user-friendly features.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field (5+ years of experience considered equivalent).
- Proven experience designing and deploying large-scale production ML systems.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong background in NLP, LLMs, or Computer Vision.
- Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes/Docker).
- Excellent problem-solving skills and ability to thrive in a fast-paced, ambiguous environment.