Job Description
We are building the future of intelligent systems. OmniStream Corp is seeking a visionary Senior AI Engineer to join our elite Project 2026 initiative—a groundbreaking research and development division dedicated to next-generation generative models and spatial computing interfaces.
In this role, you won't just be writing code; you will architect the neural architectures that will power the enterprise of tomorrow. You will work at the bleeding edge of machine learning, pushing the boundaries of what is possible in real-time processing and human-AI interaction. If you are driven by complexity and obsessed with performance, this is your chance to define the standard for 2026 and beyond.
Why join us?
- Work on bleeding-edge technology that shapes the industry standard.
- Competitive equity package and performance bonuses.
- Flexible hybrid work environment in the heart of San Francisco.
- Access to top-tier compute resources and the latest research tools.
Ready to engineer the impossible? Apply today.
Responsibilities
- Design, implement, and optimize deep learning models for high-volume, low-latency applications.
- Collaborate with cross-functional teams of data scientists, engineers, and product designers to translate research into scalable production systems.
- Conduct research into novel algorithms to improve model accuracy and efficiency for Project 2026 deliverables.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Deploy and monitor AI models in cloud environments, ensuring stability and scalability.
- Stay current with the latest academic and industry research in AI/ML to drive innovation.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
- 5+ years of professional experience in machine learning engineering or data science.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong experience with distributed computing frameworks (e.g., Apache Spark, Ray) and cloud platforms (AWS/GCP).
- Experience deploying large-scale ML models and MLOps pipelines.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.