Langgraph), Datastructures at Western Digital

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data StorageIndustries

Requirements

PhD or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative field (or equivalent practical experience)
8+ years of hands-on experience
6+ years in Data Science
Expertise in Large Language Models (LLM)
Proficiency in Python, TensorFlow, and PyTorch
Experience with Langchain and Langgraph
Strong knowledge of data structures

Responsibilities

Lead the end-to-end design, architecture, and implementation of large-scale machine learning programs involving multiple interconnected projects
Own the technical vision and roadmap for ML initiatives across the organization, ensuring alignment with business objectives
Drive solutioning efforts for complex, ambiguous problems by breaking them down into actionable technical components
Establish best practices, design patterns, and architectural standards for ML systems at scale
Make critical technical decisions on model selection, infrastructure, tooling, and deployment strategies
Champion production excellence by ensuring ML systems are reliable, scalable, maintainable, and cost-efficient
Define success metrics and KPIs for ML initiatives, establishing clear linkage between technical work and business outcomes
Drive a metrics-driven culture by implementing comprehensive monitoring, experimentation frameworks, and impact measurement systems
Analyze and communicate the business impact of ML solutions through rigorous A/B testing and causal inference methodologies
Set and track ambitious yet achievable goals for your programs, proactively identifying and mitigating risks
Translate business objectives into quantifiable ML objectives and success criteria
Mentor and guide junior and mid-level data scientists and ML engineers, accelerating their technical growth and career development
Conduct code reviews, design reviews, and provide constructive feedback to elevate team quality standards
Foster a culture of technical excellence, innovation, and continuous learning within the team
Develop and deliver technical training sessions on advanced ML topics, tools, and methodologies
Help shape hiring standards and participate actively in recruiting top ML talent
Build and maintain strong relationships with cross-functional partners including product managers, engineers, executives, and business stakeholders
Communicate complex technical concepts and results to non-technical audiences through compelling data storytelling
Present strategic recommendations and technical proposals to senior leadership and executive teams
Navigate organizational complexity to drive alignment and consensus across multiple stakeholders
Proactively manage expectations and communicate risks, tradeoffs, and dependencies clearly
Stay at the forefront of ML/AI research and identify opportunities to apply cutting-edge techniques to business problems
Publish findings through internal tech talks, external conferences, or academic papers (optional)
Drive innovation through rapid prototyping, experimentation, and willingness to challenge conventional approaches
Balance innovation with pragmatism, knowing when to leverage proven solutions versus exploring novel approaches

Skills

Key technologies and capabilities for this role

PythonTensorFlowPyTorchLangchainLanggraphData StructuresMachine LearningLLMML ArchitectureA/B TestingCausal Inference

Questions & Answers

Common questions about this position

Is this position remote or on-site?

This is an on-site position.

What technical skills are required for this Scientist 4 role?

The role requires 6+ years of experience, expertise in LLMs, Python, TensorFlow/PyTorch, Langchain/Langgraph, and data structures.

What does the role involve in terms of leadership responsibilities?

The position includes leading end-to-end design and implementation of large-scale ML programs, owning technical vision and roadmap, establishing best practices, and making critical technical decisions.

What is the company culture like at Western Digital?

The culture emphasizes technical excellence, innovation, continuous learning, mentorship, and a metrics-driven approach, with a collaborative focus on transforming data solutions together.

What makes a strong candidate for this data science position?

Strong candidates will have proven technical leadership in large-scale ML, experience mentoring teams, ability to manage stakeholders and communicate complex ideas, plus expertise in LLMs and related tools.

Western Digital

Provides data storage solutions and services

About Western Digital

Western Digital provides a variety of data storage solutions, including Network Attached Storage (NAS), Storage Area Network (SAN), private cloud, and hyper-converged infrastructure. Their products are designed to help businesses manage and store data efficiently and reliably. For example, their all-flash arrays are optimized for high input/output applications, while the JetStor brand offers cost-effective NAS and SAN arrays that support multiple host ports for improved performance. What sets Western Digital apart from its competitors is its extensive experience in the data storage market and its ability to cater to a wide range of clients, from large corporations to small businesses. The company's goal is to deliver high-value storage solutions that meet the diverse needs of its customers, ensuring they have the tools necessary for effective data management.

San Jose, CaliforniaHeadquarters

2014Year Founded

$927.9MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

10,001+Employees

Benefits

Paid sick leave & vacation time

Medical/dental/vision insurance

Life, accident, & disability insurance

Tax-advantaged flexible spending and health savings accounts

Employee assistance program

Tuition reimbursement

Employee stock purchase plan

Western Digital Savings 401(k) Plan

Risks

Seagate's HAMR technology may outperform Western Digital's ePMR in high-capacity HDDs.

Toshiba's HAMR and MAMR technologies intensify competition in the storage market.

Focus on consumer products may neglect enterprise client needs, risking market share.

Differentiation

Western Digital leads in high-capacity HDDs with 32TB UltraSMR and ePMR technology.

The company offers diverse storage solutions, including NAS, SAN, and private cloud.

Western Digital's SanDisk and WD_BLACK brands target creators and gamers effectively.

Upsides

Growing demand for high-capacity storage driven by AI and data-intensive applications.

Recent product launches cater to the expanding gaming and content creation markets.

Advancements in ePMR technology enhance Western Digital's competitive edge in HDDs.

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