- JPMorgan Chase (Apple Valley, 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
- EPAM Systems (Los Angeles, CA)
- We are hiring a strategic **Databricks & Modern Data Platforms leader** who has experience working with a dynamic team, designing impactful strategies, and ... Deep experience with Databricks (Delta Lake, Unity Catalog, Workflows, MLflow) and modern data platforms (AWS, Azure, or GCP) + Strong understanding of… more
- Unity Technologies (San Francisco, CA)
- **San Francisco, CA, USA** **Staff Software Engineer , Ads Data Platform** Location San Francisco, CA, USA Department Engineering Requisition ID JOBREQ-2515021 ... real time bidding. We are looking for a Staff Data Platform Engineer with deep expertise in...quality, testing, and software craftsmanship + Collaborate with product, ML , and data engineering teams to translate… more
- Google (Sunnyvale, CA)
- …to solve a ML task more efficiently, new techniques to reduce the label/unlabeled ML data needed to train a model to target accuracy. + Work with tooling ... years of experience with ML design and ML infrastructure (eg, model deployment, model evaluation, data...continue to push technology forward. As a Staff Software Engineer , you will develop ML performance analysis… more
- Skyworks (Irvine, CA)
- …communicates. Requisition ID: 75764 Description Skyworks Solutions is seeking aMachine Learning Engineer (MLE)to join our rapidly growing AI/ ML team in Irvine, ... respect, and technical excellence. Responsibilities As a Machine Learning Engineer on the Data Analytics and AI...anomaly detection + Root-cause analysis across test and manufacturing data + Own the end-to-end ML pipeline:… more
- 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
- General Atomics (Poway, CA)
- …through Machine Learning ( ML ) and Agentic AI in addition to standard Data Science. With the increase in available AI tools & technologies, this role will ... SQL, and Azure services to extract, clean, and prepare data for AI, ML and reporting use...automation, or finance transformation initiatives. + Familiarity with Azure ML , Databricks, AWS Redshift, or similar cloud platforms… 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
- Palo Alto Networks (Santa Clara, CA)
- …code reviews, fostering engineering excellence + Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT ... ML systems + Understanding of the AI lifecycle: data , training, evaluation, deployment, and monitoring + Experience with...models, RAGs, and agentic AI systems + Proficiency in AI/ ML frameworks (TensorFlow, PyTorch) and cloud platforms … more
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