- UniversalAGI, Inc. (San Francisco, CA)
- …industrial innovation, we want to hear from you. About the Role As a founding Deep Learning Researcher , you'll be architecting and training the foundation ... environments This is a role for someone who lives at the intersection of deep learning research and production ML, who can both read the latest papers… more
- Cyngn Inc. (Mountain View, CA)
- …within the Autonomy Software organization. This role centers on developing advanced deep learning models that power object detection, segmentation, and tracking ... production-is considered a strong bonus. Responsibilities Design, implement, and optimize deep learning models for object detection, segmentation, and tracking… more
- Scale AI, Inc. (San Francisco, CA)
- …in software development, with at least 6 years focused on Machine Learning , Deep Learning , or Applied Research in a production environment. 2+ years ... extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic… more
- Highlight US Inc (San Francisco, CA)
- …or equivalent experience. Solid understanding of ML fundamentals: supervised & unsupervised learning , deep learning , model evaluation metrics, deployment, ... Job Title: Senior Machine Learning Engineer / Researcher Location: NYC...reasoning, and persistent knowledge for the core Highlight application Research , prototype and deploy state‑of‑the‑art machine learning … more
- Alljoined, Inc. (San Francisco, CA)
- …humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on ... the Role We're seeking a talented and experienced Machine Learning Researcher to join our core R&D... & Model Development: Develop, train, and refine state-of-the-art deep learning models for neural decoding, building… more
- Prima Mente (San Francisco, CA)
- …discovery to real clinical and research impact. Role focus As a Machine Learning Researcher , you will help design, train, and evaluate foundation models that ... Strong background in machine learning or a closely-related field (eg deep learning , statistics, optimisation). Industry, academic, or hybrid paths are all… more
- Scale AI, Inc. (San Francisco, CA)
- …Algorithms: Lead the research , design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data ... and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high‑performance deep learning models for accurate detection and persistent tracking… more
- NLP PEOPLE (Foster City, CA)
- …Expertise in multiple programming languages (eg, Python, R, Spark) * Strengths in Deep Learning , Machine Learning , Recommendation systems, Generative models, ... As a Principal ML Engineer, you will drive the research and architect our personalization platform. The role requires...technologies (eg, TensorFlow, PyTorch, scikit-learn) * Expert knowledge in Deep Learning techniques and LLM (Large Language… more
- Icon Ventures (San Francisco, CA)
- …directly shape the learner experience. You'll bring modern RecSys expertise (from deep learning ‑based retrieval and embeddings to multi‑task ranking and ... What you bring to the table: 12+ years of experience in applied machine learning or ML‑heavy engineering, with deep expertise in personalization, ranking, or… more
- Icon Ventures (San Francisco, CA)
- …Quizlet. You'll bring strong expertise in modern recommender systems - from deep learning -based retrieval and embeddings to multi-task ranking and evaluation ... in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every...and serving systems using architectures such as Two-Tower models, deep ranking networks, and ANN-based vector search for real-time… more
- Capital One (San Jose, CA)
- …ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning . A data guru. "Big data" doesn't faze you. You ... like Spark. The Ideal Candidate is Innovative. You continually research and evaluate emerging technologies. You stay current on...Engineering, or Mathematics) plus 3 years of experience in Deep Learning , or PhD in "STEM" field… more
- General Motors (Mountain View, CA)
- …optimization through course work, research or projects Experience training multimodal deep learning models Demonstrated research contributions in AI/ML ... vision, robotic manipulation, predictive maintenance, and process optimization Build end-to-end deep learning pipelines that handle multi-modal sensor data… more
- Ernst & Young Oman (San Francisco, CA)
- …ML packages like scikit-learn and PyTorch Experience with natural language processing and deep learning Extensive experience in DevOps tools (GIT, Azure DevOps), ... two days will be the same, and with constant research and development, you'll find yourself building knowledge that...proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques Excellent communication skills for… more
- Axiom (San Francisco, CA)
- …in: Novel usage and application of embeddings in applied research settings Deep learning research applied to non standard, thorny modeling problems ... unsupervised / self-supervised learning with multiple modalities End to end applied deep learning research which makes it way into products Ability to do… more
- Pinterest (San Francisco, CA)
- …else. What you\'ll do Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely ... million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they… more
- Capital One (San Francisco, CA)
- … deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as ... a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or… more
- General Motors (Mountain View, CA)
- …for robotic control or process optimization Experience training large scale end-to-end multimodal deep learning models Demonstrated research impact in AI/ML ... vision, robotic manipulation, predictive maintenance, and process optimization Develop end-to-end deep learning pipelines that handle multi-modal sensor data… more
- Philo (San Francisco, CA)
- …set clear expectations, and deliver measurable improvements in user engagement. Advance deep learning in recommendations : Apply frameworks such as TensorFlow, ... invented. We leverage cloud delivery, modern tech stacks, machine learning , and native app experiences on all platforms to...impact millions of users. In this role, you will research , design, and build advanced algorithms and large-scale systems… more
- Capital One National Association (San Francisco, CA)
- … deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as ... a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or… more
- Sunday Robotics (Mountain View, CA)
- …so they can spend more time on the things they value most. As a Machine Learning Research Engineer, you will work on the software and algorithms that enable our ... learning for robotics, controls, or perception Proficiency with Python and any deep learning framework (PyTorch preferred) Hands-on experience with robot … more
