- Google (Sunnyvale, CA)
- …degree or equivalent practical experience. + 8 years of experience in software development . + 5 years of experience testing, and launching software products, and 3 ... (eg, technology duplicating and responding to the human voice), reinforcement learning (eg, sequential decision making), ML infrastructure, or specialization in… more
- ServiceNow, Inc. (Santa Clara, CA)
- …this role:** You will play a major part in building AI and Machine Learning (ML) platform that transform the user experience and workflow efficiency of enterprise ... inferencing. + Stay ahead of the curve by quickly learning emerging technologies and applying them to enhance the...+ Minimum 5 years of experience working in Software Development role. + Proficiency in Python and Golang, with… more
- Google (Mountain View, CA)
- …the role:** As an applied ML software engineer, you will own end-to-end development of breakthrough technologies that rely heavily on large language models. You will ... + Explore, apply, and innovate state-of-the-art LLM & machine learning techniques to solve real-world problems + Design and...ML workflows, such as batch inference, agentic processes, active learning , fine tuning and data labeling + Design and… more
- NVIDIA (Santa Clara, CA)
- …large-scale, sophisticated tasks. What you'll be doing: + Research and Development : Explore and incorporate contemporary research on generative AI, agents, and ... field (or equivalent experience). + 8+ years of experience in deep learning and deep learning systems design. + Proficiency in Python and C++ programming +… more
- US Tech Solutions (San Francisco, CA)
- **Job Description:** + The Learning & Training Content Coordinator plays a crucial role in supporting and executing partner management initiatives with a focus on ... manuals). + Identify existing content for reuse and areas for new content development . + Create both training and user-facing content (eg, Help Center articles).… more
- DoorDash (San Francisco, CA)
- …impact. You'll drive the full ML lifecycle: feature creation, model development , deployment, experimentation, and monitoring. You'll also work closely with ... can find out more on our ML blog here (https://doordash.engineering/category/data-science-and-machine- learning /) You're excited about this opportunity because you will… more
- Zscaler (San Jose, CA)
- …speed and agility with a cloud-first strategy. We're looking for a Sr. Staff Machine Learning (ML) Engineer to join our AI Copilot team. This role will be based in ... production + Proficiency with mainstream modeling toolkits, including ML/Deep learning (TensorFlow/Keras, PyTorch, Sklearn, Spacy), Data Science (Pandas, Numpy,… more
- Meta (Sunnyvale, CA)
- …the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. The successful candidate will be ... and estimate silicon power and performance 3. Contribute to the development of machine- learning libraries, intermediate representations, export formats, and… more
- Meta (Menlo Park, CA)
- …Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a ... technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer… more
- Google (Sunnyvale, CA)
- …degree or equivalent practical experience. + 8 years of experience in software development . + 5 years of experience testing, and launching software products, and 3 ... + Knowledge of GCP Cloud Infrastructure and of the ML development lifecycle. Google's software engineers develop the next-generation technologies that change… more