298 Deep Learning Engineer jobs in San Jose.

Menlo Park

• Skills: Machine Learning, GPU Clusters, Model Development, Triton Kernels, Distributed Systems, Reinforcement Learning, PyTorch, LLM Inference, CUDA, Kubernetes
• Experience: PhD (or equivalent) research experience

Mountain View

• Skills: machine learning, reconstruction techniques, neural simulation, autonomous vehicles, computer vision, programming, Gaussian splats, NeRFs, VSLAM, photogrammetry
• Experience: Experience with modern learning-based reconstruction techniques like gaussian splats or NeRFs, classical computer vision and odometry algorithms, programming experience in Python, C++, and CUDA
• Type: Full-time
• Salary: $200,000 - $250,000 USD annually

Palo Alto

• Skills: machine learning, biological foundation models, deep learning, large-scale sequence modeling, distributed training tools, collaboration, biological prediction, data-driven modeling, optimization, computational biology
• Experience: 5-8+ years of relevant experience in machine learning research or ML engineering
• Type: Full-time
• Salary: $168,000-$242,500

Mountain View

• Skills: machine learning, computer vision, 3D perception, neural network architectures, object detection, 3D maps, Robotics controls, Rust, Python, edge devices
• Experience: Robust machine learning background in computer vision and perceptual tasks
• Type: Full-time

San Jose

• Skills: machine learning, NLP, healthcare, clinical workflows, research, large language models, cross-functional collaboration, publications, model development frameworks, primary care
• Experience: Ph.D. or research-focused Master's with at least three years of experience as an applied scientist in machine learning/NLP
• Type: Full-time
• Salary: $190,000 - $210,000 annually

Burlingame

• Skills: machine learning, drug discovery, models, methodologies, collaboration, scientific excellence, technical leadership, team mentorship, innovation, productionize
• Experience: Leadership role in ML with oversight of teams

Burlingame

• Skills: ML Research, generative modeling, machine learning, computational chemistry, drug discovery, quantum mechanics, reinforcement learning, molecular dynamics, self-supervised training, equivariant architectures
• Type: Internship

San Jose

• Skills: Generative AI, Model Training, Backend Systems, Software Engineering, Python, C/C++/Go, Automation Frameworks, Deep Learning, Communication Skills, AIGC Technologies
• Experience: 7+ years of software development experience, 5+ years of experience in Python/C/C++/Go

San Jose

• Skills: NLP, Computer Vision, multimodal technologies, user profiling system, behavioral patterns, pretraining datasets, industry-specific models, interactive shopping, video content understanding, PyTorch
• Experience: At least 3 years of relevant experience in a large-scale internet business.

Mountain View

• Skills: machine learning, multimodal, NLP, content generation, generative AI, Python, Java, Go, MongoDB, recommendation system
• Experience: MS degree with 2+ years of experience or PhD in Computer Science or related majors
• Type: Full-time
• Salary: $130,000 — $260,000 USD

San Jose

• Skills: autonomous vehicles, artificial intelligence, large-scale models, self-supervised learning, freight delivery, sensor integration, modular hardware, deep learning, real-world operations, adaptability
• Experience: All levels welcomed, from entry-level to expert
• Type: Full-time
• Salary: Competitive

Palo Alto

• Skills: AI Agents, Creative Partner, LLMs, Visual models, tool usage, real-time world knowledge, understanding of intent, long term memory, building tools, overcoming limitations
• Experience: Built with agents and LLMs, large amounts of time working with the tools.

Palo Alto

• Skills: pre-training, fine-tuning, large language models, MLOps, AI frameworks, TensorFlow, PyTorch, HPC infrastructure, software design, audio/speech experience
• Experience: High scientific understanding of the field of generative AI; high technical engineering competence; hands-on experience with AI frameworks and tools; experience working with large distributed systems.
• Type: Full-time

Santa Clara

• Skills: computer vision, artificial intelligence, deep learning, AI tools, inclusive work environment, collaborative work, national security, cutting-edge research, scientists, team collaboration
• Experience: Varying levels of experience
• Type: Full-time

Burlingame

• Skills: neural networks, algorithmic optimization, deep learning, graph-based execution, C++, application-appropriate heuristics, NP-hard problems, classical algorithms, machine learning, DSP
• Experience: Minimum of eight years in the industry, MS or Ph.D. in Computer Science or related field
• Type: Full-time

Palo Alto

• Skills: Real-time algorithm, Speech AI, Machine learning, Data-centric approach, Model optimization, Speech-to-speech systems, Accuracy improvement, Efficiency enhancement, Robustness, Continuous improvement
• Experience: Expertise in the speech AI domain and a strong foundation in ML techniques

Palo Alto

• Skills: optimizing latency, model inference, production serving systems, system optimizations, CUDA kernels, algorithmic optimizations, quantization, distillation, speculative decoding, scaling test-time compute
• Experience: Experience with system optimizations for model serving, low-level optimizations for inference, and algorithmic optimizations for inference.
• Salary: $180,000 - $440,000 USD

Santa Clara

• Skills: Machine Learning, deep learning models, PyTorch, transformer architecture, model training framework, distributed training, autonomous driving, Torchscript, Nvidia TensorRT, training and inference
• Experience: Master in CS/CE/EE, or equivalent, in industry experience
• Type: Full-time
• Salary: $148,909 - $252,000

Santa Clara

• Skills: machine learning, humanoid robots, deep learning framework, natural language processing, computer vision, synthetic data, large language models, data diversity, quantization techniques, collaborative personality
• Experience: Strong experience with any major deep learning framework; Solid background in machine learning, natural language processing, computer vision, speech or data science.
• Type: Full-time
• Salary: $148,909 - $252,000, in addition to bonus, equity and benefits

Santa Clara

• Skills: Machine Learning, Deep Learning, PyTorch, Model Training Framework, Transformer Architecture, Training Inference, Distributed Training, Autonomous Driving, Nvidia TensorRT, Torchscript
• Experience: 1-3 years of industry experience
• Type: Full-time
• Salary: $174,720 - $295,680 plus bonus and equity

Los Altos

• Skills: machine learning, foundation models, training, fine-tuning, large datasets, behavioral science, human-computer interaction, social science, generative AI, human behaviors
• Experience: Expertise in machine learning research, specifically foundation models

Foster City

• Skills: machine learning, algorithms, segmentation, tracking, classification, scene understanding, autonomy, validation, technical stack, exploratory projects
• Type: Unknown

Sunnyvale

• Skills: artificial intelligence, deep learning, generative modeling, contrastive learning, multimodal learning, high-dimensional perception, foundation models, research and development, algorithms, large scale datasets

Palo Alto

• Skills: ad personalization, AI technologies, data-driven engineering, Human-Computer Interaction (HCI), UI/UX design, backend services, machine learning models, personalized ad delivery, scalable solutions, product design
• Experience: 0 to 4 years of industry experience in software engineering, data engineering, or a related field.
• Type: Full-time
• Salary: $137,000 — $205,000 USD

Redwood City

• Skills: AI-driven virtual cell models, Computational infrastructure, Cell biology, Genomics, Proteomics, Data standards, Collaborations, Biological datasets, Deep learning architectures, Single-cell technologies
• Experience: 20+ years of relevant experience
• Type: Full-time
• Salary: $794,000 - $1,270,000

Sunnyvale

• Skills: Machine Learning, Artificial Intelligence, Deep Learning, Algorithms, Reinforcement Learning, Complex Data, Causal Learning, Graph Neural Networks, Python, Cross-Functional Collaboration
• Experience: Experience with Deep Learning frameworks such as Pytorch or Tensorflow. Experience with Python, C++, C, Java, or other related languages.
• Type: Full Time
• Salary: $117,000/year to $173,000/year + benefits