Staff Applied Scientist
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Sep 24, 2026. NetApp scores A on the Alion truth index.
Job Summary
CPTO is looking for an Applied Scientist who is passionate about bridging the gap between AI research and large-scale production systems. In this role, you will not just apply off-the-shelf models; you will design, build, and iterate on novel algorithmic solutions to complex, ambiguous business problems.
Job Requirements
- Familiarity with the design and development of system software.
- 12+ years of hands-on experience in coding of AI/ML.
- Knowledge of Unix/Linux System Programming and Multithreaded programming.
- Expertise in algorithms, data structures, and multi-threaded programming is essential.
- Commitment to sound software engineering practices and a passion for quality.
- Proven track record of meeting tight deadlines without sacrificing quality.
- Strong communication skills, both written and oral, targeted at a wide variety of internal and external audiences.
- Ability to understand customer deployment scenarios and experience in collaborating with peer teams outside of engineering.
- Familiarity with database technologies such as NoSQL, Prometheus and datalake.
- Hands-on experience with code conversion tools like Git.
- Knowledge of software deployment - Docker/Kubernetes
Key Responsibilities:
Research & Design: Formulate complex business problems into formal mathematical frameworks
Design, experiment with, and evaluate advanced ML models, Deep Learning architectures, and statistical methods
Prototyping to Production: Write clean, maintainable, and scalable code
Own the end-to-end lifecycle of ML models, from data ingestion and training to deployment and post-launch monitoring
Scale & Optimize: Optimize model performance, latency, and resource utilization for high-throughput, low-latency production systems (e.g., distributing training, quantization, or optimizing inference graphs)
Technical Leadership: Stay at the forefront of AI research (LLMs, Retrieval-Augmented Generation (RAG), vector intelligence, multi-modal systems).
Mentor junior engineers and scientists, and foster a data-driven engineering
Education
- IC - Typically requires a minimum Bachelor/Master of Engineering in Computer Science; or equivalent experience.
12-15 years of hands-on experience in Data Science and related analytics disciplines.