Applied Scientist 5
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.
All internal movements within the Product Group via requisition will be lateral, offering valuable growth opportunities to extend your skills in a new area. Opportunities for a promotion will be reviewed in the normal course of business, aligned with our promotion process.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
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Learn moreNetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. We pledge to take every reasonable step to ensure that our applicants and employees are respected, treated fairly, and with dignity. See the EEO poster. NetApp makes reasonable accommodations, consistent with applicable laws, for religious purposes and for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions unless undue hardship would result.
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