Machine Learning Jobs in Santa Clara, CA

Develop application architecture and scalable software for humanoid robots and autonomous machines. Integrate hardware, software, manipulation algorithms, and whole-body controllers; lead profiling, benchmarking, verification, and system performance improvements. Collaborate with internal engineering teams and external partners to deploy robotic solutions globally. The role requires hands-on robotics software development, machine learning and reinforcement learning expertise, simulation-based validation, and proficiency in Python and C/C++.

Leads the architecture and production delivery of a novel AI-powered exploitability analysis engine. Owns probabilistic ranking, graph modeling, entity resolution, calibration, validation, and security guardrails for agentic systems. Drives zero-to-one development, technical direction, architecture and code reviews, cross-functional partnerships, and mentorship. Requires deep expertise in production AI/ML, LLMs, distributed systems, cloud-native development, probabilistic modeling, and scalable architectures, with strong security experience preferred.

Leads the technical vision and architecture for AI-powered exploitability analysis in cybersecurity. Defines advanced modeling approaches, enterprise-scale engineering standards, AI safety and governance practices, and portfolio-wide architecture. Guides multiple teams without direct authority, mentors senior engineers, represents technology to executives and customers, and delivers production AI/ML products using LLMs, agents, retrieval, probabilistic scoring, and graph technologies.

Own and deliver a major subsystem of ServiceNow’s exploitability analysis engine, such as probabilistic scoring, exposure graphs, entity resolution, or calibration. Lead architecture, design and code reviews, production delivery, metrics, AI safety guardrails, and technical direction. Partner with product, security R&D, and SecOps while mentoring engineers and guiding ambiguous AI/ML problems to scalable, reliable production systems.

Design, develop, and evaluate large-scale multimodal foundation models for biological research. Build hybrid LLM and graph neural network architectures, relational foundation models, and distributed multi-GPU training systems. Apply deep learning theory to biological data, transition research prototypes into scalable production systems, publish peer-reviewed research, and mentor junior staff while collaborating across scientific and engineering teams.

Develops end-to-end data science and AI solutions for supply chain and service operations. Responsibilities include building machine learning, GenAI, LLM, agentic AI, RAG, forecasting, and deep learning applications; deploying and monitoring models in production; designing GenAI architectures; analyzing operational data; partnering with stakeholders to improve forecasts and business decisions; and communicating insights to leadership.

Build and deploy video recommendation models and APIs, research LLM and computer vision applications, and develop semi-automatic annotation techniques for NLU models. Retrain and evaluate machine learning systems, improve Roku Voice data annotation pipelines, collaborate with engineering and product teams to launch research into products, and document technical work through design documents, demos, and presentations.

Leads development of scalable AI platform capabilities, infrastructure, tooling, and ML frameworks. Drives the full software lifecycle, applies cloud-native architecture, conducts system design reviews, builds AI-driven applications, and integrates ML components. Provides technical leadership, mentors engineers, influences architecture, and collaborates cross-functionally to deliver reliable, data-driven solutions that improve developer productivity and intelligent experiences.

Lead research, design, development, and implementation of image-processing algorithm modules. Analyze problems, gather data, review literature, prototype solutions, and integrate algorithms into products. Apply computer vision, machine learning, and deep learning for image analysis, pattern recognition, metrology, and object detection. Optimize algorithms for computational efficiency and hardware requirements while managing projects, teams, priorities, and resources.

Design, architect, deploy, and optimize advanced machine learning models for real-time onboard autonomous driving. Lead end-to-end ML projects, improve neural architectures and inference performance, ensure robustness and safety in critical systems, mentor engineers, collaborate across engineering teams, and influence technical roadmaps. The role focuses on foundation models, computer vision, sensor-to-action learning, and onboard autonomy.

Lead product strategy and roadmap for AI-native capabilities in CrowdStrike's Next-Gen SIEM. Collaborate with engineering, data science, research, marketing, sales, and support to design, deliver, and position AI-driven detection, investigation, and prevention features. Conduct competitive analysis, define use cases, and engage customers to inform product direction while supporting go-to-market and cross-functional execution.

Own and extend NVIDIA’s production linear programming supply chain optimization model. Formulate constraints and objectives, analyze dual variables and sensitivities, maintain data integrity, and translate semiconductor supply-chain realities into mathematical models. Partner with procurement, operations, engineering, and leadership to evaluate constraints, scenarios, sourcing, capacity, and planning decisions. Evolve the optimization architecture and explore AI, machine learning, GPU acceleration, and cuOpt enhancements.

Lead forward-deployed engineering for Cisco’s AI platforms by embedding with customers, identifying workflow challenges, and rapidly building production-ready prototypes. Apply expertise in networking, security, distributed multi-tenant systems, authorization, observability, and scalable service architecture. Influence product roadmaps through usage data, transition prototypes into secure SaaS and on-premises services, provide technical consultation, and mentor teams while promoting customer-first engineering practices.

Design, engineer, and optimize protein-based biosensors that convert neuronal activity into imaging signals. Build and characterize protein variants using computational design, directed evolution, combinatorial libraries, mammalian expression systems, and high-throughput assays. Collaborate with machine learning, biochemical, structural biology, and computational teams to model sequence-function relationships, develop screening methods, understand biomolecular mechanisms, and advance constructs toward in vivo applications.

Leads multifunctional initiatives defining safety architectures and requirements for autonomous vehicles. Develops safety concepts and analysis supporting continuous software delivery, improves safety metrics and analysis tools, evaluates safety data, and communicates readiness results. Collaborates with perception, AI, motion planning, and architecture experts to ensure DRIVE products meet rigorous safety standards.

Manage NVIDIA’s global Lenovo OEM account and drive adoption and integration of NVIDIA accelerated computing platforms. Develop technical expertise across AI hardware, networking, software, and reference architectures; identify solution opportunities; package NVIDIA technologies into Lenovo offerings; and develop co-marketing and co-selling strategies. Coordinate product, engineering, supply planning, pricing, quality, and go-to-market teams while building relationships with senior stakeholders and supporting cloud and enterprise sales channels.

Designs, builds, and maintains real-time surgical visualization and augmented reality software for the da Vinci robotic surgical system. The role involves prototyping clinical concepts, architecting distributed-system interfaces, collaborating with multidisciplinary teams, conducting hazard analysis, and supporting regulated verification, validation, and documentation. Required expertise includes production C++, computer graphics, graphics APIs, system integration, software testing practices, and Linux. Preferred experience includes surgical robotics, medical imaging, Qt/QML, Unity, CUDA, computer vision, and machine learning.

Translate business objectives into actionable data analysis, analyze large datasets, apply statistical and machine learning methods, and clearly communicate findings to technical and non-technical audiences. The role requires Hadoop ecosystem expertise, Python scripting, strong statistical knowledge, sampling and analytical skills, and business domain experience in retail, enterprise mobility, or healthcare.

Research and develop foundation models for general-purpose robotics, including multimodal architectures, scalable training methods, data strategies, and post-training techniques. Build distributed pipelines using large-scale video and robot-interaction datasets, evaluate models on real robots, and collaborate with robotics, hardware, and engineering teams. The role involves frontier research across vision-language-action models, world models, imitation learning, reinforcement learning, and self-supervised learning, with opportunities for publications and ownership of a new embodied AI research program.

Build and operate production machine-learning components for a novel exploitability engine that ranks security work by realistic attack paths. Responsibilities include evidence ingestion, entity resolution, graph construction, probabilistic scoring, testing, evaluation, observability, and data/model reliability. The role involves prototyping AI capabilities, collaborating with product and security teams, contributing to architecture and code reviews, and applying AI safety, security, and guardrails.

Own new business and account growth across hyperscalers, neoclouds, enterprises, and frontier AI labs in the Americas. Manage complex technical sales cycles, layered OEM/ODM and channel routes, capacity commitments, design-ins, pipeline forecasting, contracts, and executive relationships. Translate semiconductor performance, power, and TCO advantages into commercial outcomes while partnering with product, engineering, marketing, legal, and finance. Build a qualified pipeline through an existing customer network and represent the company at industry events.

Design, develop, validate, and optimize algorithms for mass spectrometry data analysis. Responsibilities include feature finding, signal processing, peak detection, pattern recognition, machine learning, numerical modeling, production software development, algorithm validation, performance benchmarking, and collaboration with software engineers, scientists, application experts, and customers.

Develop and apply physics-based and machine-learning models for plasma etching, deposition, and surface modification processes. Use quantum chemistry, molecular dynamics, kinetic Monte Carlo, and HPC simulation datasets to predict plasma-surface interactions. Collaborate with experimental teams, integrate simulation and measurement results, maintain modeling software, validate frameworks, and communicate findings to multidisciplinary teams and customers.

Design, train, evaluate, and deploy computer vision and machine learning models for ground and onboard flight systems. Build the image and ML data engineering foundation, optimize models for low-latency cloud and edge execution, develop benchmark implementations, and support cloud serving integration. Own verification, validation, unit testing, integration testing, and performance regression testing while collaborating with mission and payload teams.

Develop scalable sensor-data pipelines, physics-based models, machine-learning algorithms, predictive controls, and intelligent automation for semiconductor manufacturing. Build production-ready software, ML surrogates, and reduced-order models that integrate with manufacturing tools, control systems, and dashboards. Collaborate across physics, engineering, software, and data science teams to optimize real-time process performance and deploy innovative solutions.