Machine Learning Scientist, Reinforcement Learning ProfluentMachine Learning Scientist, Reinforcement LearningEmeryville, CAPhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field. As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
Computer Vision Engineer – Autonomy & Perception PivotalComputer Vision Engineer – Autonomy & PerceptionPalo Alto, CaliforniaPerception & Computer Vision: Design and develop perception systems for autonomous aerial platforms operating in GPS-denied and contested environments; implement object detection, classification, segmentation, and tracking algorithms using RGB, thermal, and multimodal sensor data; develop visual perception pipelines for obstacle detection, collision avoidance, and situational awareness; build scene understanding capabilities to support autonomous navigation and mission execution; evaluate and integrate state-of-the-art computer vision and AI techniques into operational systems. Camera Systems & Sensor Integration: Integrate and evaluate diverse imaging systems including RGB, stereo, fisheye, thermal, and event-based cameras; develop camera calibration workflows and sensor characterization procedures; support multi-camera synchronization and calibration efforts; improve image quality, calibration accuracy, and perception system reliability; collaborate with hardware teams to evaluate and integrate emerging sensor technologies.
NewSoftware Engineer - Sr Consultant level VisaSoftware Engineer - Sr Consultant levelFoster City, CA$169,100–$270,800 / yearYou will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
Machine Learning Scientist, Pretraining ProfluentMachine Learning Scientist, PretrainingEmeryville, CAPublications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS) or experience pre-training LLMs at frontier AI/ML labs. PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field.
Machine Learning Engineer, Assistant Quality Glean Technologies, Inc.Machine Learning Engineer, Assistant QualitySan Francisco, CA$180,000–$205,000 / yearThis role sits at the intersection of production machine learning, LLM-powered systems, and product engineering, with a focus on building, evaluating, and iterating on assistant experiences that are useful, reliable, and grounded in real enterprise workflows. The ideal person is excited by shipping production systems, not pure research, and wants to help shape how Glean's assistant gets better over time through stronger signals, tighter feedback loops, and better end-to-end execution quality.
NewSoftware Manager, Machine Control & Distributed Computing KLA CorporationSoftware Manager, Machine Control & Distributed ComputingMilpitas, CA$195,600–$332,500 / yearEnabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs.
NewMachine Learning Engineer, AI Inference Solutions (University Grad) General MotorsMachine Learning Engineer, AI Inference Solutions (University Grad)Sunnyvale, CA$119,250–$150,850 / yearGeneral Motors is a global leader in advanced driver assistance, with Super Cruise hands-free technology in more than 500,000 equipped vehicles on the road and over 700 million hands-free miles driven-demonstrating that automation can be trusted, intuitive, and helpful while reaching everyday drivers at unprecedented scale. Within GM AV, the Model Deployment & Inference Solutions team deploys machine learning models from training frameworks (e.g., PyTorch) onto autonomous-vehicle hardware; our two-fold mission is to build the ML deployment platform that makes model rollouts fast and predictable, and to optimize models so they meet the real-time latency and memory budgets required to run on-vehicle.
Lead Machine Learning Engineer (IC) Capital OneLead Machine Learning Engineer (IC)San Francisco, New YorkLead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
Senior Algorithm Engineer KLA CorporationSenior Algorithm EngineerMilpitas, CA$186,200–$316,500 / yearEnabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. KLA's Films and Scatterometry Technologies Division is seeking a highly skilled Senior Algorithm Engineer to develop next-generation computational, AI-driven, and physics-based algorithms for semiconductor process control and optical metrology applications.
NewComputer Vision AI & ML Engineer Rethink recruitComputer Vision AI & ML EngineerSan MateoThe core belief is that massive scale through data-driven machine learning is the key to unlocking these capabilities and enabling the widespread deployment of robots in the real world. • Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.
Application Engineer – Computer Vision EchoTwin AIApplication Engineer – Computer VisionSan Francisco, CaliforniaThere are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more! Powered by a proprietary visual intelligence engine with full spatial reasoning, EchoTwin transforms municipal fleets into mobile urban sensors—creating living digital twins that provide real-time insights into infrastructure, compliance, and safety.
Senior Deep Learning Performance Architect NvidiaSenior Deep Learning Performance ArchitectSanta Clara, CAWhat you will be doing: As a member of our deep learning architecture team, you will craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.
Staff Research Scientist, AdTech Product Innovation CognitivStaff Research Scientist, AdTech Product InnovationSan Mateo, CA$200,000–$270,000 / yearProduction Experience: Hands-on experience developing, deploying, and optimizing machine learning models in production environments, including distributed systems, cloud platforms (AWS, GCP, Azure), and big data frameworks (Hadoop, Spark). Deep Learning & LLM Expertise: Strong technical expertise in PyTorch, transformers, and Large Language Models (LLMs), including large-scale training, fine-tuning, and optimization of deep neural networks.
Senior Machine Learning Engineer, Model Training and Reinforcement Learning NebiusSenior Machine Learning Engineer, Model Training and Reinforcement LearningPalo Alto, CaliforniaThey can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. Design and run model-training and post-training experiments, including SFT, continued pretraining, preference optimization (DPO/IPO/KTO), and RL methods such as RLHF/RLAIF, PPO, and GRPO.
AI Research Scientist, Applied AI, Google Cloud GoogleAI Research Scientist, Applied AI, Google CloudSunnyvale, CAFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.
AI Engineer Kasmo IncAI EngineerSanta clara, CADevelop and implement solutions using NLP, Large Language Models (LLMs), Agentic AI, and computer vision technologies where applicable. Manage the end-to-end machine learning lifecycle, including data preparation, experimentation, deployment, monitoring, and optimization.
Senior Software Engineer AI U.S.Senior Software Engineer AIPleasanton, CaliforniaResponsibilities: - Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance - Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine’s own internal connector ecosystem - Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy - Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets - Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies. Infrastructure and Environment Management: Design and manage training infrastructure including distributed training orchestration, GPU/TPU resource allocation, and automatic scaling.
Gen Ai Ml Ops Engineer StaffWorthyGen Ai Ml Ops EngineerMilpitas, CaliforniaModel Training and Evaluation: Develop and train AI models using cutting-edge machine learning and deep learning frameworks, and continuously refine and optimize these models to achieve superior performance. CANDIDATE DETAILS 5+ to 7 years' experience Seniority Level - Mid-Senior Management Experience Required - No Minimum Education - Bachelor's Degree Willingness to Travel - Never INTAKE SESSION There will not be an intake session call for this Bounty.
Senior Deep Learning Systems Architect NvidiaSenior Deep Learning Systems ArchitectSanta Clara, CANVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms. Come, join our Deep Learning Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
Senior Software Engineer, AI Infrastructure - LVM Inference & Evaluation Ambient.aiSenior Software Engineer, AI Infrastructure - LVM Inference & EvaluationRedwood City, CaliforniaPowered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. Hands-on experience running deep learning models in production, ideally including LLMs, LVMs, vision-language models, or multimodal models.