2025 New College Graduate Machine Learning Engineer

Strategically positioned within the organization of the CIO Advanced Analytics and Optimization (AAO) is missioned with accelerating Analytics solutions at scale across the Enterprise to rapidly capture business value. These solutions target key business metrics such as reducing manufacturing cost improve capital efficiency reduce timeto market to develop new products improve planning operational efficiency & logistics and enhance customer experience.

AAO solutions are built using cutting edge Industrial 4.0 technologies and are delivered through a platform approach to enable rapid scaling. The solutions span AI/ML for improving manufacturing test yield quality & OEE AI/ML & data analytics for sales marketing logistics & supply chain problems Operations Research for capacity and scheduling optimization Digital Twin for inventory and logistics optimization and Product Telematics for managing customer fleet management solutions. Many of these solutions are firstofakind that have discovery and rapid learning elements with the intent of taking solution to scale.

We are seeking a highly skilled and innovative Machine Learning Engineer to join our AAO team. In this role you will be at the forefront of exploring and integrating cuttingedge Artificial Intelligence (AI) and Machine Learning (ML) technologies to drive innovation and create a competitive edge for our organization.

Essential Duties & Responsibilities:

• Design develop and deploy machine learning models and algorithms to solve realworld problems.
• Preprocess and analyze large datasets to derive meaningful insights.
• Collaborate with crossfunctional teams (e.g. engineering manufacturing procurement) to integrate machine learning solutions into existing systems.
• Develop and implement Rapid Learning Cycle (RLC) projects to demonstrate the value proposition in specific areas
• Optimize model performance and ensure scalability for production environments.
• Stay up to date with the latest trends and advancements in AI and ML.
• Create clear documentation of workflows models and results.

Qualifications :

Required:

• Bachelors or Masters degree in Data Science Computer Science Machine Learning or a related field with a graduation date between May 2024June 2025. 23 years of relevant work experience is preferred. 
• Strong proficiency in Python programming with experience in libraries such as Pandas Scikitlearn and either TensorFlow or PyTorch for deep learning frameworks.
• Experience with data cleaning and preprocessing techniques ML algorithms and statistical modeling techniques.
• Experience with deep learning and generative AI e.g. LLMs GANs VAEs.
• Experience with Graph NN/CNN and Reinforcement Learning.
• Familiarity with graph databases (e.g. Neo4j) and graphbased analysis tools including expertise in graph query languages (e.g. Cypher) is a plus.
• Proficiency in SQL database queries. Familiarity with data pipelines and AWS technologies is advantageous.
• Understanding of ML Ops principles and best practices.
• Proficiency with objectoriented programming and code version control.

Additional Information :

Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate 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 persons gender identity gender expression and genderrelated appearance and behavior whether or not stereotypically associated with the persons 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 nondiscrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster.

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 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 this job will close on or before April 1 2025. If we have not closed our search by this date we will update this posting with a new anticipated close date.

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Compensation & Benefits Details

• An employees 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.
• You will be eligible to participate in Western Digitals ShortTerm 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 LongTerm 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 Western Digitals 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; taxadvantaged 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 Western Digital 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 Companys sole discretion unless and until paid and may be modified at the Companys sole discretion consistent with the law.