- Amazon (San Francisco, CA)
- …and architects working step-by-step with customers to build bespoke solutions that harness the power of AI. The team helps customers imagine and scope the use cases ... design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address...trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony.… more
- NVIDIA (Santa Clara, CA)
- …robotics revolution is happening right now, and NVIDIA is building the data factories to power it. And central to that, the Dex team at NVIDIA is leading the charge ... teams. What we need to see: + MS or PhD degree in a robotics related field (or equivalent...+ Strong Pytorch and training experience, especially with large-scale systems . + Experience working with robotic hardware, in particular… more
- MongoDB (San Francisco, CA)
- …is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily ... mission-critical solutions, the foundation for success lies in designing systems that provide relevant and trustworthy responses. MongoDB is...if you:** + Hold an advanced degree (MSc or PhD ) in AI, Data Science, Machine Learning, or related… more
- Aptiv PLC (Agoura Hills, CA)
- …encompasses our deep expertise in centralized computing platforms, advanced safety systems and automated driving, while acknowledging the growth in areas that ... processing and array processing based on cost, performance, and power dissipation + Present studies to technical teams and...hardware and algorithm trade-offs + Work with the radar systems and embedded DSP teams, SoC developers and external… more
- Walmart (Sunnyvale, CA)
- …LLMs), reinforcement learning, and personalization frameworks (eg, agentic systems ). + Collaborate cross-functionally with engineering, product, and design ... teams to integrate ML systems into customer-facing applications. + Build scalable data pipelines...externally where applicable. **What you'll bring:** + Have a MS/ PhD in relevant technical degree (preferably Computer Science, Machine… more
- Google (San Bruno, CA)
- …from conception to launch. + Experience in machine learning, AI, or recommendation systems . **Preferred qualifications:** + Master's degree or PhD in a ... the forefront of improving the user experience, with our systems driving 70% of time spent on YouTube. Our...our stories. We work together to give everyone the power to share their story, explore what they love,… more
- Walmart (Sunnyvale, CA)
- …metrics, key parameters/techniques that affect model performance, agentic flow systems . + Understanding of relevant statistical measures such as confidence ... field. Preferred Qualifications + Exposure to real-world, production grade agentic systems . + Familiarity with LLMs serving optimizations and multi-LoRa + Ability… more
- Palo Alto Networks (Santa Clara, CA)
- …- just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full ... other relevant use-cases to post-sales. + Optimize AI Agentic Systems : Play a key role in our generative AI...as causal inference, time-series analysis. + An MS or PhD in a quantitative field like Computer Science, AI,… more
- Cognizant (San Francisco, CA)
- …with a diverse range of global organisations to harness the power of Artificial Intelligence in enhancing decision-making, forecasting, resilience, and operational ... emphasis on **AI for Good** . Your work will contribute to building AI systems that are **safe, robust, sustainable, and inspiring** . **Focus Areas** **Our current… more
- NVIDIA (Santa Clara, CA)
- …and reference architectures for innovative AI applications, demonstrating the full power of the NVIDIA accelerated Generative AI platforms. By developing these ... transformative applications using NVIDIA full AI stack, from GPU systems and CUDA to NeMo and Triton. The Generative...and workloads. What we need to see: + MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML… more