111 AI Ml jobs in Malaysia

Join to apply for the AI/ML Engineer role at Horizontal Talent

Join to apply for the AI/ML Engineer role at Horizontal Talent

Job Title: AI/ML Engineer

Work Arrangement: Hybrid

Location: Kuala Lumpur, Malaysia

About Horizontal: Established since 2003 in the US, Horizontal solves complex challenges across two distinct businesses: Horizontal Digital and Horizontal Talent. We are consistently recognized for being a top workplace and one of the fastest growing private companies. Horizontal Talent specializes in staffing for IT, Digital & Creative and Business & Strategy markets. We have global offices in US, UAE, India, Malaysia and Australia.

Our Client is seeking a talented and exceptional Machine Learning Engineer who wants to make a difference in the world, has a strong drive for continuous learning and development, is open and collaborative, and never stops striving to improve themselves and the products or services they are responsible for. You will be responsible for developing and optimizing advanced machine learning (ML) models across various domains, including natural language processing (NLP), computer vision, and speech processing. This role requires broad expertise in large language models and diffusion models, with experience in ASR systems to support our comprehensive data analytics platform.

Key Responsibilities

• Design, implement, and fine-tune Large Language Models (LLMs) for various NLP tasks, including text classification, entity extraction, sentiment analysis, and conversational AI applications.
• Develop and optimize diffusion models for generating synthetic data, augmenting data, and creating multimodal content to enhance training datasets.
• Build and maintain end-to-end machine learning pipelines for text processing, speech recognition, and multimodal data analysis.
• Implement state-of-the-art transformer architectures and attention mechanisms for various sequence modeling tasks across different data modalities.
• Research and integrate cutting-edge ML techniques, including few-shot learning, transfer learning, and multi-task learning approaches.
• Collaborate with engineering teams to deploy ML models in production environments, ensuring scalability and reliability.
• Develop custom training strategies, loss functions, and evaluation frameworks for domain-specific applications in telecommunications and government sectors.
• Optimize model performance, inference speed, and resource utilization for deployment across various hardware configurations.
• Conduct comprehensive model evaluation, A/B testing, and performance monitoring to ensure continuous improvement.
• Create technical documentation, research reports, and best practice guidelines for ML development processes.
• Mentor junior team members and contribute to the advancement of ML practices across the organization.
  
  

Required Qualifications

• Advanced degree in Computer Science, Machine Learning, Data Science, Mathematics, or a related field.
• 4+ years of experience in machine learning engineering with a focus on deep learning and neural networks.
• Strong proficiency in Python and extensive experience with PyTorch, TensorFlow, and the HuggingFace ecosystem.
• Demonstrated expertise with Large Language Models including GPT, BERT, T5, LLaMA, and similar transformer-based architectures.
• Hands-on experience with diffusion models such as Stable Diffusion, DDPM, DDIM, or similar generative modeling techniques.
• Experience with ASR (Automatic Speech Recognition) systems and speech processing pipelines, including models like Whisper, Wav2Vec2, or similar technologies.
• Solid understanding of natural language processing techniques, including tokenization, embeddings, attention mechanisms, and sequence modeling.
• Experience with parameter-efficient fine-tuning methods, including LoRA, QLoRA, AdaLoRA, and other PEFT techniques.
• Knowledge of distributed training, model parallelism, and large-scale data processing frameworks.
• Familiarity with MLOps practices, model deployment, and production monitoring systems.
• Strong mathematical foundation in statistics, linear algebra, and optimization theory.
  
  

Technical Skills

• Programming Languages: Expert-level Python; proficiency in C/C++, JavaScript, or Julia for performance optimization.
• Deep Learning Frameworks: Advanced experience with PyTorch, TensorFlow, JAX, and HuggingFace Transformers.
• LLM Technologies: Extensive knowledge of transformer architectures, attention mechanisms, tokenizers, and model scaling techniques.
• Generative Models: Hands-on experience with diffusion models, VAEs, GANs, and other generative modeling approaches.
• Fine-Tuning Techniques: Proficiency with LoRA, QLoRA, prefix tuning, prompt tuning, adapters, and instruction tuning methodologies.
• NLP Libraries: Experience with spaCy, NLTK, Gensim, sentence-transformers, and domain-specific NLP tools.
• Speech Processing: Familiarity with librosa, torchaudio, SpeechBrain, and audio processing pipelines.
• Model Optimization: Knowledge of quantization, pruning, distillation, ONNX, TensorRT, and inference optimization.
• Data Processing: Expertise in pandas, NumPy, Apache Spark, Dask, and distributed computing frameworks.
• MLOps Tools: Experience with Docker, Kubernetes, MLflow, Weights & Biases, Ray, and cloud ML platforms.
• Proficient in version control using Git, DVC, and collaborative ML development workflows.
  
  

Preferred Qualifications

• Experience with multimodal learning combining text, audio, and visual data modalities.
• Knowledge of reinforcement learning from human feedback (RLHF) and constitutional AI approaches.
• Familiarity with federated learning and privacy-preserving machine learning techniques.
• Experience with real-time inference systems and streaming data processing.
• Understanding of model interpretability, explainable AI, and bias detection methodologies.
• Knowledge of graph neural networks and knowledge graph embedding techniques.
• Experience with AutoML frameworks and neural architecture search (NAS).
• Contributions to open-source ML projects or published research in top-tier conferences.
• Experience with edge deployment and mobile optimization for ML models.
• Understanding of cybersecurity applications and adversarial machine learning.
  
  

Personal Attributes

• Exceptional problem-solving skills and ability to approach complex ML challenges from first principles.
• Strong research mindset with the ability to stay current with the rapidly evolving ML/AI landscape.
• Excellent communication skills, both written and verbal, with the ability to explain complex concepts to diverse audiences.
• Self-driven and proactive, with a passion for pushing the boundaries of machine learning technology.
• Adaptable and open-minded, able to work effectively across different problem domains and data modalities.
• Collaborative team player with experience working in cross-functional environments.
• Strong attention to detail with commitment to reproducible and ethical AI practices.
  
  

Additional Information

• Language: Fluent oral and written English is mandatory.
• Good interpersonal skills
• Excellent organizational skills
• Team player but able to work on own initiative
• Good written and oral communication skills
• Enthusiastic, self-starter and highly self-motivated
• Appreciation of cultural differences
• Attention to detail
• Travel: Occasional travel may be required for conferences, client meetings, or inter-office collaboration.

Seniority level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Staffing and Recruiting

Referrals increase your chances of interviewing at Horizontal Talent by 2x

Get notified about new Machine Learning Engineer jobs in Bangsar South, Federal Territory of Kuala Lumpur, Malaysia .

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR6,000.00-MYR8,000.00 1 day ago

Artificial Intelligence (AI) Software Engineer (Gen AI, Python)

Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago

Petaling Jaya, Selangor, Malaysia 2 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago

Federal Territory of Kuala Lumpur, Malaysia 7 hours ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia $2,000.00-$,000.00 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2,000.00- 5,000.00 1 week ago

Software Engineer, AI Model Training (Malaysia)

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Petaling Jaya, Selangor, Malaysia 1 day ago

AI & Data - Data Scientist (GenAI), Experienced Hire

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago

Federal Territory of Kuala Lumpur, Malaysia 4 weeks ago

Petaling Jaya, Selangor, Malaysia 2 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 day ago

Kuala Lumpur City, Federal Territory of Kuala Lumpur, Malaysia 4 weeks ago

Bukit Jalil, Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago

Data Scientist Lead - Advanced Analytics & Recommendations

Petaling Jaya, Selangor, Malaysia 7 hours ago

Federal Territory of Kuala Lumpur, Malaysia 4 weeks ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 months ago

Petaling Jaya, Selangor, Malaysia 1 day ago

Petaling Jaya, Selangor, Malaysia 2 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR96,000.00-MYR144,000.00 4 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

As an AI & Machine Learning Engineer, your responsibility will include proposing and developing innovative solutions for our business problems using AI and ML frameworks.

Who Are We?

CompAsia is a digital and technology company that provides end-to-end solutions for certified pre-owned devices focusing on the mobile phone life-cycle value chain. Our focus is on delivering a mobile phone lifecycle experience not limited to Trading, Financing and Insurance.

What Role Will You Play in Shaping CompAsia's Future?

• Design, develop and enhance our object/defect detection models with primary focus on accuracy, precision, and recall.
• Collaborate closely with cross-functional teams, including stakeholders, software engineers, and domain experts to understand project requirements and business objectives.
• Heavily involve in R&D work and fast prototyping of new models.
• Conduct in-depth analysis of model performance, identify areas for improvement, and implement strategies to enhance the overall accuracy of the object detection system.
• Utilize advanced machine learning techniques, such as hyperparameter tuning, transfer learning, and ensemble methods, to optimize and fine-tune existing models.
• Stay abreast of the latest advancements in object detection algorithms and contribute to the adoption of state-of-the-art methodologies to improve model capabilities.
• Design and implement scalable and efficient machine learning pipelines for data preprocessing, model training, and deployment.
• Work on the deployment strategies of the enhanced object detection model, ensuring seamless integration into production environments.
• Collaborate with stakeholders to communicate complex technical concepts and findings in a clear and understandable manner.
• Understand company challenges and how integrating AI capabilities can help lead to solutions.

What Qualifications and Experience Will You Bring to Excel in This Role?

• Bachelor's/Master's/Ph.D. degree in Computer Science, Machine Learning, Data Science, or a related field.
• Proven experience in developing and enhancing object detection models / defect detection models, with a focus on achieving higher accuracy.
• Strong programming skills in languages such as Python and proficient in machine learning frameworks (e.g., TensorFlow, PyTorch, Keras - CNN).
• Exposure to GenAI development will be advantageous.
• Solid understanding of computer vision concepts, image processing, and feature extraction techniques.
• Experience with data preprocessing, annotation, and augmentation for object detection tasks.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a dynamic team environment.
• Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

#J-18808-Ljbffr

As an AI & Machine Learning Engineer, your responsibility will include proposing and developing innovative solutions for our business problems using AI and ML frameworks. Who Are We? CompAsia is a digital and technology company that provides end-to-end solutions for certified pre-owned devices focusing on the mobile phone life-cycle value chain. Our focus is on delivering a mobile phone lifecycle experience not limited to Trading, Financing and Insurance. What Role Will You Play in Shaping CompAsia's Future? Design, develop and enhance our object/defect detection models with primary focus on accuracy, precision, and recall. Collaborate closely with cross-functional teams, including stakeholders, software engineers, and domain experts to understand project requirements and business objectives. Heavily involve in R&D work and fast prototyping of new models. Conduct in-depth analysis of model performance, identify areas for improvement, and implement strategies to enhance the overall accuracy of the object detection system. Utilize advanced machine learning techniques, such as hyperparameter tuning, transfer learning, and ensemble methods, to optimize and fine-tune existing models. Stay abreast of the latest advancements in object detection algorithms and contribute to the adoption of state-of-the-art methodologies to improve model capabilities. Design and implement scalable and efficient machine learning pipelines for data preprocessing, model training, and deployment. Work on the deployment strategies of the enhanced object detection model, ensuring seamless integration into production environments. Collaborate with stakeholders to communicate complex technical concepts and findings in a clear and understandable manner. Understand company challenges and how integrating AI capabilities can help lead to solutions. What Qualifications and Experience Will You Bring to Excel in This Role? Bachelor's/Master's/Ph.D. degree in Computer Science, Machine Learning, Data Science, or a related field. Proven experience in developing and enhancing object detection models / defect detection models, with a focus on achieving higher accuracy. Strong programming skills in languages such as Python and proficient in machine learning frameworks (e.g., TensorFlow, PyTorch, Keras - CNN). Exposure to GenAI development will be advantageous. Solid understanding of computer vision concepts, image processing, and feature extraction techniques. Experience with data preprocessing, annotation, and augmentation for object detection tasks. Excellent problem-solving skills and the ability to work independently and collaboratively in a dynamic team environment. Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

#J-18808-Ljbffr

As an AI engineer or an ML engineer, you need to perform certain tasks, such as develop, test, and deploy image classification, image recognition and NLP models through Python programming and deep learning algorithms such as Neural Network, Efficient Net, Transformers and any others algorithms. Responsibilities: Research on SOTA literature & publicised papers, sustainable models and architecture design Mainly focus on building image and object recognition models, NLP models. Build AI models from scratch and collaborate with experts such as data scientists, coders, programmers and other stakeholders. Perform data statistical analysis and interpreting findings and results to generate insights for organisation's decision-making Automating critical tasks and procedures for a data science team Be a good team player, collaborate with the team in our fast-paced, agile environment, explore new possibilities for better product quality, and succeed with the team. Converting machine learning models into APIs with which other apps may interact Communicate with various stakeholders, understand and solve their pain points Qualifications and Skills: BSc / MSc in AI, computer science, physics or a similar field or relevant experience Strong logical thinking and python skills. Strong passion to learn and explore ML/AI algorithms. Experienced in python project coding, optimization, designing, testing and debugging. Experienced in support daily BAU tasks, project enhancement, system maintenance, and R&D project. Hands on experience in using ML libraries such as Tensorflow, Transformers, PyTorch, Keras. Experienced in new project development cycle Experienced in Dataiku platform Good to have: Experienced in ML/AI project development, training and maintain model performance monitoring. Familiar with algorithms such as supervised, semi-supervised, unsupervised and reinforcement. Familiar with NLP language model and algorithms. Familiar with Docker and UNIX working system. Familiar with REST APIs, version control systems-GIT and UI/UX principles. Familiar with popular SOTA ML/AI models Familiar with Transformer based models

#J-18808-Ljbffr

Responsibilities

• Able to lead a team to generate AI Roadmap for Business vision/goals/initiatives
• Able to generate ideas & insights into newer AI-powered business models
• Lead the team to develop AI platform/products architecture/design/implementation/AI infrastructure
• Lead the team to complete AI automation (pipeline) projects
• Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization
• Provide ideas and insights into new business models that could be enabled using AI
• Coach and mentor the team and define best AI/ML-driven practices and AI lifecycle; oversee model training and optimization

Qualifications

• PhD in computational modeling, machine learning, statistics, computer science, or AI
• More than 15 years of working experience with modern databases, cloud environments, data ecosystems, and high-level experience in AI/ML fundamentals
• Strong background in software and end-to-end AI/ML work, including deploying models
• Experience in developing AI/ML-focused business and go-to-market strategies for enterprises and startups
• Proficient in deep programming to implement solutions in production
• Highly knowledgeable and passionate about the latest AI/ML trends and technologies
• Experience in building AI/ML-based products and platforms, managing teams of both technical and non-technical individuals to deliver results under fast-paced timelines

Important Note:

• We are seeking a candidate with extensive hands-on experience in developing and implementing AI/ML algorithms and performing predictive analysis
• The ideal candidate should have approximately 10 years of expertise in the AI/ML field
• While a background in the semiconductor industry is preferred, we are open to considering candidates from other sectors
• Proven experience in leading a team is essential
• This role requires occasional travel to Singapore to collaborate with the team there, based on business needs
• A master’s degree or higher is preferred

#J-18808-Ljbffr

Data Engineer
(Artificial Intelligence & Machine Learning) Petaling Jaya Job Description

We are seeking a Data Engineer to support our product, sales, and leadership teams by providing insights from analyzing company data. The ideal candidate will utilize large data sets to identify opportunities for product and process optimization, develop models to test various strategies, and employ data mining and analysis techniques using a range of tools. They should have a proven ability to drive business results through data-driven insights and be comfortable collaborating with diverse stakeholders and teams. A passion for uncovering solutions in large data sets and improving business outcomes is essential.

Responsibilities for Data Engineer

• Collaborate with stakeholders across the organization to leverage data for business solutions.
• Mine and analyze data to optimize product development, marketing, and business strategies.
• Evaluate new data sources and gathering techniques for effectiveness and accuracy.
• Develop custom data models and algorithms for data analysis.
• Apply predictive modeling to enhance customer experience, revenue, and advertising outcomes.
• Establish and test A/B frameworks and model quality.
• Coordinate with teams to implement models and monitor their performance.
• Create processes and tools to track model performance and data integrity.

Job Requirements

• Strong problem-solving skills with a focus on product development.
• Experience with statistical programming languages (R, Python, SQL) for data manipulation and analysis.
• Experience in designing and creating data architectures.
• Knowledge of machine learning techniques like clustering, decision trees, neural networks, etc., and their practical applications.
• Understanding of advanced statistical concepts and techniques, including regression and hypothesis testing.
• Excellent communication skills for effective team coordination.
• A passion for learning new technologies and methods.
• 3-4 years of experience in data manipulation and statistical modeling, with a relevant degree in Statistics, Mathematics, Computer Science, or related fields.
• Proficiency with software/tools such as C, C++, Java, JavaScript, R, Python, SQL, Redshift, S3, Spark, and visualization tools like D3, ggplot.

#J-18808-Ljbffr

Responsibilities

Able to lead a team to generate AI Roadmap for Business vision/goals/initiatives Able to generate ideas & insights into newer AI-powered business models Lead the team to develop AI platform/products architecture/design/implementation/AI infrastructure Lead the team to complete AI automation (pipeline) projects Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization Provide ideas and insights into new business models that could be enabled using AI Coach and mentor the team and define best AI/ML-driven practices and AI lifecycle; oversee model training and optimization Qualifications

PhD in computational modeling, machine learning, statistics, computer science, or AI More than 15 years of working experience with modern databases, cloud environments, data ecosystems, and high-level experience in AI/ML fundamentals Strong background in software and end-to-end AI/ML work, including deploying models Experience in developing AI/ML-focused business and go-to-market strategies for enterprises and startups Proficient in deep programming to implement solutions in production Highly knowledgeable and passionate about the latest AI/ML trends and technologies Experience in building AI/ML-based products and platforms, managing teams of both technical and non-technical individuals to deliver results under fast-paced timelines Important Note: We are seeking a candidate with extensive hands-on experience in developing and implementing AI/ML algorithms and performing predictive analysis The ideal candidate should have approximately 10 years of expertise in the AI/ML field While a background in the semiconductor industry is preferred, we are open to considering candidates from other sectors Proven experience in leading a team is essential This role requires occasional travel to Singapore to collaborate with the team there, based on business needs A master’s degree or higher is preferred

#J-18808-Ljbffr

Data Engineer (Artificial Intelligence & Machine Learning)

Petaling Jaya

Job Description

We are seeking a Data Engineer to support our product, sales, and leadership teams by providing insights from analyzing company data. The ideal candidate will utilize large data sets to identify opportunities for product and process optimization, develop models to test various strategies, and employ data mining and analysis techniques using a range of tools. They should have a proven ability to drive business results through data-driven insights and be comfortable collaborating with diverse stakeholders and teams. A passion for uncovering solutions in large data sets and improving business outcomes is essential. Responsibilities for Data Engineer

Collaborate with stakeholders across the organization to leverage data for business solutions. Mine and analyze data to optimize product development, marketing, and business strategies. Evaluate new data sources and gathering techniques for effectiveness and accuracy. Develop custom data models and algorithms for data analysis. Apply predictive modeling to enhance customer experience, revenue, and advertising outcomes. Establish and test A/B frameworks and model quality. Coordinate with teams to implement models and monitor their performance. Create processes and tools to track model performance and data integrity. Job Requirements

Strong problem-solving skills with a focus on product development. Experience with statistical programming languages (R, Python, SQL) for data manipulation and analysis. Experience in designing and creating data architectures. Knowledge of machine learning techniques like clustering, decision trees, neural networks, etc., and their practical applications. Understanding of advanced statistical concepts and techniques, including regression and hypothesis testing. Excellent communication skills for effective team coordination. A passion for learning new technologies and methods. 3-4 years of experience in data manipulation and statistical modeling, with a relevant degree in Statistics, Mathematics, Computer Science, or related fields. Proficiency with software/tools such as C, C++, Java, JavaScript, R, Python, SQL, Redshift, S3, Spark, and visualization tools like D3, ggplot.

#J-18808-Ljbffr

**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**
**ESSENTIAL DUTIES AND RESPONSIBILITIES:**
+ Develop and maintain factory automation applications with modern frontend tools such as ASP.NET (cshtml) and Vue.js.
+ Create intuitive, responsive web interfaces for production and engineering users.
+ Build backend logic and integration layers using Python, Microsoft Visual Studio and Visual Studio Code.
+ Develop and optimize Oracle SQL and Microsoft SQL Server queries for data access and reporting.
+ Integrate factory systems and manufacturing equipment via web services, API calls, or SECS/GEM communication protocols.
+ Support system troubleshooting, software testing, and debugging during deployment and production ramp-up.
+ Document software design, code, and system interfaces to ensure maintainability and scalability.
+ Collaborate closely with process, equipment, and IT teams to deliver robust and efficient automation solutions.
**Qualifications**
REQUIRED:
+ Degree in Computer Engineering, Software Engineering, Electrical Engineering, or a related technical field.
+ Basic to intermediate proficiency in frontend web development (e.g., ASP.NET (cshtml), Vue.js).
+ Strong understanding of SQL query writing (Oracle / Microsoft SQL Server).
+ Familiarity with Python, Microsoft Visual Studio and Visual Studio Code development environments.
+ Knowledge of API integration (RESTful services) and/or SECS/GEM equipment communication protocols.
PREFERRED:
+ Experience or academic projects related to manufacturing automation, MES integration, or factory data systems.
+ Exposure to Industry 4.0 technologies, real-time dashboards, or digital transformation initiatives in manufacturing.
+ Familiarity with backend languages (e.g., C#, Node.js) is a plus.
+ Understanding of clean UI/UX design principles for industrial software.
SKILLS:
+ Problem-solving mindset with strong logical and analytical thinking.
+ Passionate about technology and continuous improvement in a factory environment.
+ Strong communication and teamwork skills.
+ Self-motivated, organized, and able to manage multiple tasks in a dynamic environment.
**Additional Information**
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 ( ) 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.
**NOTICE TO CANDIDATES:** Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Sandisk Ethics Helpline ( or email