Data Scientist / Software Engineer Jobs in San Jose, CA

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Data Scientist / Software Engineer 4 - AM1012544

Juniper Networks

Sunnyvale, California, USA

Full-time

At Juniper, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement the world has ever known. To achieve real outcomes, we know that experience is the most important requirement for networking teams and the people they serve. Delivering an experience-first, AI-Native Network pivots on the creativity and commitment of our people. It requires a consistent and committed practice, something we call the Juniper Way. Data Sciencist / Software Enginee

Staff Data Scientist / Staff AI/ML Engineer

NetApp

San Jose, California, USA

Full-time

Job Summary At NetApp, our mission is to help our customers bring AI to their data - wherever and however they want - in a way that is agile, achievable, and secure. Our AI tools help customers to seamlessly deploy AI on data in-place: on-prem, hybrid or cloud. By providing AI-ready infrastructure, NetApp enables confident innovation and effective data management for our customers, while maintaining the highest standards of security and regulatory compliance. Job Requirements Provide technical

Staff Data Scientist / Machine Learning Engineer

Motion Recruitment Partners, LLC

Palo Alto, California, USA

Full-time

This Role DOES NOT SUPPORT: C2C OR Sponsorship | In-Office 5 Days a Week (Palo Alto) Our company is an industry leader in designing, developing, and supplying a wide range of semiconductor and infrastructure software solutions. Our influence in the creation of cutting-edge semiconductors, networking, wireless, and broadband technologies are integral to many industries, including telecommunications, enterprise, consumer electronics, data centers, and cloud computing. Currently, we are looking to

Data Science Engineer

Juniper Networks

Cupertino, California, USA

Full-time

At Juniper, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement the world has ever known. To achieve real outcomes, we know that experience is the most important requirement for networking teams and the people they serve. Delivering an experience-first, AI-Native Network pivots on the creativity and commitment of our people. It requires a consistent and committed practice, something we call the Juniper Way. This role is engaged in data scie

Lead AI Data Scientist/Engineer (DoD Focus)

Arch Systems, LLC

Remote

Full-time

Role: Leader AI Scientist/Engineer Company: Arch Systems Location: Remote Employment Type: Full-Time About Arch Systems Arch Systems, LLC is a dynamic and fast-growing technology company specializing in delivering data science, AI/ML solutions, and advanced systems engineering to government and defense customers. We thrive at the forefront of innovation, solving the most complex data challenges with precision, efficiency, and mission impact. Position Overview We are seeking an accomplished Lead

Data Scientist AI/ML Engineer

SANS

Remote

Full-time

Seeking junior 1-5 years only after graduating from a top 50 university. This is 100% remote. Seeking data scientists with AI/ML engineering skills to do investigative research in large scale data sets. Will work on exciting investigation for Anti-Money Laundering, financial fraud, accounting fraud, etc. Must have coding expertise to recognize pattern recognition using AI/ML technques. Seeking real Python programming expertise and exposure to multiple libraries such as Numpy, SciPy, Scikit-Learn

Data Scientist / Machine Learning Engineer/LLM

CloudBCLabs

Remote or Reston, Virginia, USA

Full-time

Job Title: Data Scientist / Machine Learning Engineer/LLM Location: Reston, VA (Remote) Duration: Long term Job Type : FTE/W2 (Any Visa) Key Responsibilities: Develop and deploy machine learning models using LLMs, NLP, and General AI techniques.Utilize Langchain / llamaindex for advanced language processing tasks.Implement solutions using Python, Vector DBs, and data analysis tools such as Jupyter Notebook, AWS SageMaker, and Scikit-learn.Containerize applications using Docker and manage depend