- Qualcomm (San Diego, CA)
- …such as PyTorch. + Experience working with simulation environments and real-world data for model validation and performance benchmarking. + Experience working ... and efficient autonomous driving. + Integrate reinforcement learning models with real-world data and simulation frameworks to enhance model accuracy and… more
- Automation Anywhere, Inc. (San Jose, CA)
- …and managing model versions throughout the ML lifecycle + Leading data initiatives for acquiring, annotating, and preprocessing datasets to enhance model ... a great fit if you have:** + Bachelor's or Master 's degree in Computer Science, Data Science,...+ Strong understanding of the complete ML lifecycle including data collection, feature engineering, model training, evaluation,… more
- NVIDIA (Santa Clara, CA)
- … curation pipelines and tools like NVIDIA NeMo Curator for large-scale video data processing and model post-training. + Deep understanding of distributed systems ... automated benchmarks to track performance regressions What we want to see: + Master 's or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a… more
- Google (Mountain View, CA)
- …and algorithmic optimizations to Google products and ML models including model / data sharding, mesh sizes, quantization, sparsity, compiler tuning, and ... to solve ML tasks more efficiently, or new techniques to reduce the label/unlabeled ML data needed to train a model to target accuracy. + Engage with Google… more
- Amazon (Palo Alto, CA)
- …upon existing statistical or machine learning methodologies by developing new data sources, testing model enhancements, running computational experiments, and ... concerns into specific analytical questions that can be answered with available data using statistical and machine learning methods; working with engineers to… more
- Bosch (Sunnyvale, CA)
- …development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. + Collaborate closely with ... other functional tech leads (eg data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. + Guide the set-up of a… more
- Google (Mountain View, CA)
- …+ 5 years of experience leading ML design and optimizing ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine tuning). ... the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies. Google is proud to be… more
- Google (Sunnyvale, CA)
- …+ 5 years of experience leading ML design and optimizing ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine tuning). ... GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies. Google is proud to be an equal… more
- Google (Sunnyvale, CA)
- …+ 5 years of experience leading ML design and optimizing ML infrastructure (eg, model deployment, model evaluation, data processing, debugging, fine tuning). ... the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies. Google is proud to be… more
- CliniComp (San Diego, CA)
- …CLIP, etc.). + Experience with model compression and large-scale distributed model training ( data -parallel and model -parallel) techniques. + An ... the multimodal foundation models for LLM, image, and clinical data analysis. The Multimodal AI Engineer will work with...must reside locally or be willing to relocate. + Master 's degree in Computer Science with a focus on… more