Machine Learning Jobs in Santa Clara, CA

The Technical Lead Manager will own the perception model for autonomous systems, leading a team to architect, train, evaluate, and deploy this model across diverse environments while reducing dependencies on traditional mapping technology.

Develop high-performance planning modules for autonomous vehicles, collaborate with customers, and apply modern software practices in a team-oriented environment.

The Software Intern at Cadence will work on research and development using machine learning technologies for on-chip parasitic modeling in a team environment.

Design and develop Multi-Physics System Analysis software, debug errors, implement features, and write tests.

Interns will work on machine learning solutions for autonomous driving, contributing to real-world projects in perception, prediction, and planning.

Lead presales for data and AI initiatives: design and present Microsoft Fabric-based data platforms, run discovery and AI workshops, scope proposals, translate technical designs into business value, mentor delivery, and support go-to-market and thought leadership.

Drive cloud cost efficiency and forecasting by transforming cloud data into metrics for ML-driven forecasting and agentic AI orchestration. Diagnose and re-engineer cloud-native operations across AWS and GCP, design procedural frameworks, and provide subject-matter expertise to enterprise initiatives to optimize cloud economics.

Lead strategic, data-driven projects to optimize operations and supply chain processes. Analyze large datasets, build statistical and ML models, create Power BI dashboards and prototypes, clean and maintain data pipelines, communicate insights to stakeholders, drive implementations, and deliver training using generative AI tools.

Develop and maintain large-scale evaluation, introspection, and visualization tools for autonomous vehicle ML models. Build metrics, dashboards, and pipelines that process billions of examples, collaborate with data, infra, simulation, and modeling teams, and provide technical leadership to align offline evaluation with real-world AV behavior.

Lead the design, development, and deployment of AI software components while partnering with engineers and scientists to deliver innovative AI solutions at Capital One.

Design, build, and deploy scalable ML training and evaluation platforms for autonomous driving. Lead architecture and implementation of distributed, high-performance pipelines, drive cross-team prioritization, mentor engineers, and support recruiting and code quality to accelerate ML model development lifecycle.

Design and implement production-grade VLSI/EDA tools and methodologies for multi-die package design. Build flows, applications, and automation to construct, analyze, validate, and optimize package designs to accelerate tape-out and scale engineering teams.

Lead research, design, prototype, and implement CV/ML/DL algorithms for defect detection, classification, metrology, and image analysis on semiconductor tools. Collaborate with cross-functional teams, benchmark and optimize algorithms, and productize solutions while considering compute constraints.

Lead full lifecycle of L4 Robotaxi carline programs, build and manage a carline PM team, coordinate software/hardware/vehicle/validation integration, drive ML/data ops and in-car testing, resolve cross-functional issues, and manage customer relationships through productization to mass-production readiness.

Design and evaluate machine learning algorithms focused on autonomy and perception, prototype solutions, conduct experiments, and transition prototypes into production.

Lead product strategy, roadmap, and execution for Hippo Plus across underwriting, claims, service, policy management and CX. Build AI-native features, partner with engineering and business teams, and drive growth, efficiency, launches, and continuous improvement.

Build, ship, and operate production backend services in Go; design event-driven, auditable systems for financial compliance; partner with Product to turn ambiguous problems into technical solutions; deploy customer-facing AI features; mentor and improve engineering quality.

Lead design and transformation of end-to-end Integrated Business Planning for semiconductor supply chains. Define future-state processes, governance, metrics, and system requirements across demand, supply, inventory, capacity, and executive IBP. Drive demand planning, cross-functional alignment, constrained-supply prioritization, and enable ML/AI in planning platforms.

Seeking a seasoned Photonics Engineer to lead optical integration efforts in semiconductor testing, ensuring signal integrity and system reliability. Responsibilities include design, testing, and overseeing integration in high-volume manufacturing settings, along with mentorship and project management tasks.

Conduct research on AI and robotics, focusing on reinforcement learning, and collaborate on publications and algorithm deployment.

Develop ML-first behavior modules for predicting future motions of road users. Collaborate with perception and planning teams to enhance autonomous systems.

The ML Perception Software Engineer will develop perception modules for autonomous vehicles, focusing on machine learning and computer vision to enhance navigation capabilities.

Conduct research on autonomy and simulation, publish findings, collaborate with teams to deploy algorithms. Focus on scalable autonomy using large-scale data.

The Machine Learning System Software Architect will lead high-performance machine learning software architecture, collaborating with teams to optimize AI solutions, evaluating architecture for performance, and driving innovation in AI training systems.

The role involves integrating machine learning and classical trajectory planners within safety frameworks for autonomous vehicles, focusing on architecture, planning, and control algorithms.