Lam Research · 4 hours ago
Data Science AI/ML Lead
Fremont, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$166K/yr - $350K/yrLam Research is a company focused on developing AI capabilities within their Global Information Systems. They are seeking a highly skilled Data Science / AI / ML Lead to drive the development of advanced AI/ML solutions and collaborate with various teams to ensure these solutions meet business needs.
CleanTechManufacturingSemiconductor
Responsibilities
Develop, evaluate, and deploy state of the art ML/AI models including traditional ML, deep learning, computer vision, time-series forecasting, and LLM based systems (RAG vs. fine-tuning decision-making)
Guide the use of OOTB foundation models and platforms, while leading development of custom solutions when needed (e.g., vision models, domain specific fine-tuning)
Partner with business stakeholders and SMEs to identify high value opportunities and craft wellformed data science problem statements with strong ROI potential
Perform advanced data analysis using statistical and scientific methods; build proof of concept models that scale to production deployments
Mine and analyze large-scale data sets to drive operational insights, optimization opportunities, and KPI improvements
Work with domain experts and ML engineers to develop feature stores, automated pipelines, and efficient MLOps workflows to speed up experimentation & model serving
Work with platform teams to deploy scalable models using cloud infrastructure (e.g., Databricks, Azure ML, Azure foundry, feature stores, model registries)
Collaborate with software engineering teams to integrate models into applications and product workflows
Support internal communities of practice; mentor data scientists and engineers to propagate best practices
Act as an advisor to business units on AI best practices, solution patterns, and technology selection
Develop and deliver training, demos, and internal enablement resources to uplift AI proficiency across Lam
Qualification
Required
Strong in presenting data and analysis in a visually intuitive way to a broad set of stakeholders (technical and non-technical), experience with viz tools based on Python(Dash etc.)
Demonstrated breadth of understanding applicability of various ML/DL methods to various domains (e.g. time-series, vision etc.)
Solid understanding of various ML and DL frameworks and In-depth understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Demonstrated expertise with Transformer architectures — including attention mechanisms, encoder–decoder designs, and fine‑tuning foundational models for NLP, CV, or multi‑modal tasks
Hands‑on experience building and optimizing Transformer‑based systems, including RAG pipelines, embedding models, vector databases, and efficient inference techniques
Feature pipelines and/or model development experience in Vision, data augmentation/automated labeling or time-series or reinforcement learning (OpenAI gym, PyTorch, Tensorflow, Keras, scikit learn etc.), simulation/model predictive control
Strong programming experience in python with demonstrated experience in package development (or open-source projects, hackathons etc.), API development
Strong in data/feature engineering with Pandas/PySpark etc
MS/PhD in engineering disciplines preferred
Preferred
Publication record in ML conferences
Familiarity with full-stack software or data science development
Familiarity in working in Databricks environment
Familiarity with Docker, Kubernetes etc
Company
Lam Research
Lam Research supplies wafer fabrication equipment and services to the worldwide semiconductor industry.
Founded in 1980
10001+ employees
H1B Sponsorship
Lam Research has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (242)
2024 (239)
2023 (170)
2022 (216)
2021 (242)
2020 (182)
Funding
Current Stage
Public CompanyTotal Funding
unknown1984-05-11IPO
Leadership Team
Tim Archer
President and CEO
Rick Gottscho
Exec VP and CTO
Recent News
Benzinga.com
2026-01-16
2026-01-16
Morningstar.com
2026-01-09
Company data provided by crunchbase