Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to delive...

Internship Remote Ai Ai Engineer

Fully remote

View details

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Mango Analytics,...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

View details

A technology services client of ours is looking for an MLOps Engineer for their ongoing projects. Below are the addit...

Contract Machine Learning Mlops Ai

Fully remote

View details

Amazon Pro Serve - MLOps Location: Remote Duration: 6+ Months Interview Process: Video Tax Terms: W2 Only, Visa: U.S....

Contract Remote Machine Learning Computer Vision

Fully remote

View details

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and ana...

Fulltime Ai Ai Engineer Mlops

$82k* · Senior Fully remote

View details

We are looking for a Snowflake AI/ML Engineer to design, develop, and deploy intelligent data and analytics solutions...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

View details

About Air Space Intelligence ASI started with a simple vision - build the Google Maps for the skies. Our mission-crit...

Fulltime Machine Learning Deep Learning Mlops

Fully remote

View details

Title : AI/ML Engineer – Azure & C# Location : Remote from the U.S. Industry: Powersports Duration: 12 months with po...

Fulltime Remote Ai Ai Engineer

Fully remote

View details

About Us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future....

Fulltime Ai Machine Learning Data Science

$10k* · Senior Fully remote

View details

About Us: Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmenta...

Fulltime Remote Ai Ai Engineer

$150k - $180k · Senior Fully remote

View details

hackajob* is collaborating with UnitedHealth Group to connect them with exceptional tech professionals for this role....

Fulltime Remote Ai Ai Engineer

$176k* · Senior Fully remote

View details

About This Opportunity At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine Le...

Fulltime Remote Ai Machine Learning

$161k - $247k · Senior Fully remote

View details

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We'...

Fulltime Ai Machine Learning Computer Vision

Fully remote

View details

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We'...

Fulltime Ai Machine Learning Computer Vision

$130k - $170k · Senior Fully remote

View details

Must Have Technical/Functional Skills: Programming Languages & Ecosystems Mathematical & Statistical Concepts Machine...

Ai Engineer Machine Learning Deep Learning Data Science

$65k - $130k · Senior Fully remote

View details

About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employe...

Fulltime Ai Machine Learning Mlops

$133k - $247k · Senior Fully remote

View details

Title: Lead AI Engineer Location: New York, NY (Hybrid – 4–5 days per week) Employment Type: 12-Month Contract (with ...

Contract Ai Ai Engineer Machine Learning

$42k* · Senior Fully remote

View details

JCW has partnered with a large financial institution seeking an AI Engineer to deploy and scale enterprise AI solutio...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

View details

What You’ll Do We are seeking a Machine Learning & Generative AI Engineer with strong expertise in the Azure ecosyste...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

View details

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist in...

Fulltime Remote Ai Machine Learning

$150k - $165k · Senior Fully remote

View details

Selected role

GenAI AI/ML Engineering Intern

SanDisk Milpitas, CA, US

Senior Full-time

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

We are seeking a highly motivated GenAI & AI/ML Engineering Intern to join our Design Enablement & Automation (DE&A) team. This role offers an exciting opportunity to revolutionize Sandisk’s semiconductor development workflows through cutting-edge AI technologies.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Generative AI:

Develop and deploy large language models (LLMs) inference pipelines for electronic design automation
Design Retrieval-Augmented Generation (RAG) systems and semantic search capabilities for engineering documentation management
Implement conversational AI agents for technical support
Develop prompt engineering strategies and fine-tuning approaches for domain-specific AI assistants
Build multimodal AI systems combining text, code, and design diagrams
Implement model versioning, A/B testing, and performance monitoring for GenAI systems
Optimize GenAI model performance for production environments
Build evaluation frameworks for generative AI model quality and safety

AI/ML & Data Intelligence:

Develop machine learning models for design optimization and prediction
Build automated data pipelines and workflows for AI model training and inference
Create predictive analytics solutions using both traditional ML and generative approaches
Implement AI-driven anomaly detection and pattern recognition systems
Build dashboards and visualizations enhanced with natural language generation

Learning Opportunities:

Hands-on experience with state-of-the-art commercial and open-source generative AI models
Deep dive into RAG architectures, vector databases, and semantic search technologies
Exposure to enterprise-scale GenAI infrastructure and LLMOps practices
Experience with cutting-edge semiconductor design flows and tools enhanced by AI
Mentorship from senior engineers specializing in both GenAI and semiconductor design domains
Opportunity to contribute to GenAI development and present at AI/semiconductor conferences

Qualifications

Required:

Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or related technical field
Strong programming skills in Python and experience with AI and data analytics frameworks (Spark, Ray, pandas, scikit-learn, PyTorch, OpenAI API, or similar)
Fundamental understanding of machine learning and generative AI concepts and algorithms
Experience with data structures, algorithms, and software engineering principles
Basic knowledge of natural language processing (NLP) and Generative AI concepts
Familiarity with version control systems (Git) and collaborative development workflows
Curiosity about applying AI to semiconductor design and engineering workflows
Ability to quickly learn new technologies and adapt to evolving AI landscape
Strong attention to detail and commitment to code quality and documentation

Preferred:

Hands-on experience with large language models (LLMs) and generative AI frameworks
Knowledge of Retrieval-Augmented Generation (RAG) systems and vector databases
Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
Familiarity with MLOps practices, model deployment, and monitoring tools
Understanding of prompt engineering and fine-tuning techniques for language models
Experience with data pipeline tools (Apache Airflow) and workflow orchestration
Knowledge of semiconductor design flows, electronic design automation (EDA), or hardware description languages (Verilog, VHDL)
Experience with web development frameworks and API design
Familiarity with database systems (SQL, NoSQL) and data visualization tools
Previous internship, research, or project experience in AI/ML or Generative AI applications

Additional Information

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here.

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Based on our experience, we anticipate that the application deadline will be 02/11/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.

#LI-TG1

Compensation & Benefits Details

An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk’s Standard Terms and Conditions for Restricted Stock Unit Awards.
We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Sandisk Savings 401(k) Plan.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Showing 2101–2120 of 2,375 AI roles

1 … 104 105 107 108 119

Find your next AI role

GenAI AI/ML Engineering Intern

MLOPS Engineer

MLOps Engineer

AWS MLOPS Engineer

Associate AI Engineer

Snowflake AI/ML Engineer (Cortex)

Machine Learning Engineer

AI/ML Engineer - Azure C# (28558)

Data Scientist

Artificial Intelligence Engineer

Sr AI/ML Engineer

Senior Machine Learning Engineer

Machine Learning Engineer (Junior)

Machine Learning Engineer (Junior)

AI Engineer

Principal Machine Learning Engineer I *** Hybrid in Raleigh, NC

Lead AI Engineer

AI Engineer

Machine Learning Generative AI Engineer (7+ years of experience only required)

Data Scientist (Remote - US)