- Coinbase (Sacramento, CA)
- …ML , and security & compliance into reusable and scalable patterns; and assemble data microservices into data platforms for critical business verticals and ... analytics, machine learning, and powering end-user experiences. As an engineer on the team you will contribute to the...empower our users to manage and troubleshoot their own data pipelines running on our platforms . *… more
- Genentech (South San Francisco, CA)
- … capabilities, and analytics. + Translate scientific and business questions into medical data requirements, tools, and data platforms needed to deliver ... with the people we love. **The Opportunity** The Medical Data & Analytics Engineer plays a crucial...and lead the acquisition, transformation, and integration of new data sources into enterprise platforms (when needed).… more
- Oracle (Sacramento, CA)
- …deliver secure, high-quality, and scalable data solutions. As a Principal Data Engineer within Oracle's Consumer Global Industries Unit, you will architect ... engineering with demonstrated expertise designing, building, and maintaining large-scale enterprise data platforms . - Proven hands-on experience with cloud… more
- JPMorgan Chase (Palo Alto, CA)
- …qualifications, capabilities and skills:** + Experience with other cloud platforms and AI/ ML tools. + Familiarity with data engineering and data science ... We are seeking a highly skilled and experienced Principal AI/ ML and Gen AI Engineer to join...use cases. **Key Responsibilities:** + Design, implement, and scale AI/ ML infrastructure and platforms on AWS to… more
- Capital One (San Jose, CA)
- …with the customer in mind + Leverage cloud-based architectures and technologies to deliver optimized ML models at scale + Optimize data pipelines to feed ML ... Distinguished Machine Learning Engineer **Overview:** As a Capital One Machine Learning...3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models +… more
- Saildrone (Alameda, CA)
- … models under continuous development * Experience with one or more cloud computing platforms * Experience with runtime libraries for ML models, such as TensorRT ... decisive edge at sea. Our USVs are long-range, extreme-endurance platforms powered by advanced sensors and proprietary AI *... * Experience with sensor fusion * Experience developing ML models for radar and/or lidar data … more
- Palo Alto Networks (Santa Clara, CA)
- …development + Proven expertise in designing and building complex, enterprise-grade AI/ ML platforms and applications, ideally across multiple domains (eg, ... + Extensive hands-on experience with distributed systems architecture, streaming data platforms , data lakes, and...ML frameworks (eg, TensorFlow, PyTorch, JAX) and cloud AI/ ML platforms (eg, AWS SageMaker, Google Cloud… more
- NVIDIA (Santa Clara, CA)
- …doing: + Design and execute comprehensive performance benchmarking strategies for our data center platforms and products + Characterize real-world AI training, ... software stack. We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for...distributed training and inference. Familiarity with NVIDIA DGX, HGX platforms and other data center solutions +… more
- Deloitte (Los Angeles, CA)
- …Consultant - Databricks Senior Data EngineerJob Summary As a Senior Data Engineer , you will oversee the end-to-end design, deployment, and optimization ... of enterprise-scale data engineering solutions using Databricks on any major cloud...Expertise with cloud-native databases, storage solutions, and distributed compute platforms . + Deep understanding of Lakehouse architecture, Apache Spark,… more
- Insight Global (Santa Clara, CA)
- Job Description We're seeking a highly skilled Data Engineer to design, build, and maintain production-grade data pipelines that process and transform ... Equivalent experience in other public cloud providers is fine. - ML Pipelines: Exposure to deploying cross-cluster model-training workflows using...such as RAPIDS or Spark. * Knowledge of cloud platforms (AWS, GCP, Azure). Experience with data … more