Staff Engineer, Automation Development Engineering

Company Description

At Western Digital, we are on a mission to unlock the potential of data so people, companies and organizations everywhere can create what’s next. To fulfill our vision, we are always on the lookout for potential team members who share our passion for solving problems to empower others.

When you join Western Digital, you join a legacy more than 50 years in the making. Across our Western Digital®, SanDisk®, SanDisk® Professional, WD® and WD_BLACK™ brands, we have brought some of the most storied advancements in memory and data storage technology to market—and our best, most innovative work is yet to come.

From energizing gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.

Job Description

• Lead the development of innovative applications under automation methodology, data science solutions to a variety of business problems.
• Design and implement data analysis, machine learning, and artificial intelligence algorithms, such as Computer Vision, GenAI, etc
• Develop and maintain prototype systems for data analysis, visualization, and predictive analytics.
• Collaborate with stakeholders across the organization to identify areas of opportunity for AI solution and Data science initiatives.
• Monitor and evaluate results of machine learning and Data science projects to ensure successful outcomes.
• Implement best practices for data engineering and data science processes.
• Provide guidance and leadership to more junior engineer in the team.
• Stay up to date on the latest trends in AI, Technology infrastructure, Data science and share knowledge with the team.

Qualifications

• Masters or Bachelor Degree in Computer science, Data science, Computer engineering, Information technology, or similar field with working experience at least 3-5years above
• Proficient in programming languages such as Python, Asp.net,C# with a strong understanding of relevant databases such as SQL, Oracle frameworks.
• Excellent communication and leadership skills.
• Proven ability to manage and mentor a diverse team.
• Enthusiasm for exploring and implementing the latest advancements in data science.
• Knowledge of the AI/ML lifecycle management and tools including EDA, Modelling, Integration/Deployment, Data/Model drift detection, Model retraining, etc
• Practical experience in application of ML and Deep Learning algorithms.
• Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker)

Additional Information

Western Digital 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.

Western Digital 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.

NOTICE TO CANDIDATES: Western Digital has received reports of scams where a payment is requested on Western Digital’s behalf as a condition for receiving an offer of employment. Please be aware that Western Digital 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 Western Digitals Ethics Helpline or email [email protected]