878 Machine Learning And Ai Engineering jobs in San Francisco.

San Francisco

• Skills: AI deployment, inference infrastructure, technical expertise, solutions engineering, Python, ML/AI concepts, open-source ML models, customer requirements, communication skills, proof-of-concepts
• Experience: 2+ years in technical pre-sales, solutions engineering, or customer-facing technical roles, preferably in an ML/AI company or ML-focused role
• Type: Full-time

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

San Francisco

• Skills: AI infrastructure, Large Language Models, Distributed systems, Container runtimes, Microservices architectures, REST APIs, Performance optimization, Cloud-based services, CI/CD tools, Proactive collaboration
• Experience: Demonstrable experience in distributed systems design and implementation.
• Type: Full-time
• Salary: up to $250,000 base salary

San Francisco

• Skills: machine learning, cloud environment, biomedical image analysis, programming languages, data integration, computer vision, performance tracking, multi modal analysis, software engineering, bioinformatics data processing
• Experience: 2-5 years of relevant industry and/or academic experience
• Type: Full-time
• Salary: $144,500 - $230,000

San Francisco

• Skills: Machine Learning, Document AI, Information Extraction, Large Language Models, Natural Language Processing, Information Retrieval, Data Management, Prompt Engineering, RAG Systems, Model Evaluation
• Experience: 3+ years of experience in machine learning, data science, or similar technical role
• Type: Full-time

San Francisco

• Skills: Machine Learning, MLOps, Infrastructure as Code, AWS, Python, Kubernetes, Data Processing, Continuous Improvement, DevOps, ETL Infrastructure
• Experience: 3-4 years of experience in software engineering, DevOps, or related field with a focus on ML systems
• Type: Full-time

San Francisco

• Skills: Python, Machine Learning, embeddings, ranking, recommendations, LLM, Spark, Databricks, Typescript, retrieval augmented generation
• Experience: 3+ years
• Type: Full-time

Mountain View

• Skills: ML models, optimization, production-grade, embedded runtime, PyTorch, JAX, ONNX, model performance, deep learning frameworks, embedded programming
• Experience: 3+ years of experience with ML accelerators, GPU, CPU, SoC architecture and micro-architecture
• Type: Full-time
• Salary: $159,053 - $199,295 USD annually

San Francisco

• Skills: Deep Learning, Performance Optimization, CUDA, Multi-GPU, TensorFlow, PyTorch, Benchmarking, High-Performance Computing, Distributed Training, Generative AI
• Experience: 5+ years in optimizing deep learning models, preferably in a production environment.

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

San Francisco

• Skills: AI, Machine Learning, Backend Services, NLP, Python, Deep Learning, REST APIs, Data Engineering, Cloud Services, Model Training
• Experience: 5+ years in backend services, REST APIs, and Python; 2+ years in NLP and deep learning frameworks
• Type: Full-time
• Salary: $160,000-$175,000

Oakland

• Skills: computer vision, machine learning, software development, AI, data processing, underwater cameras, fish health detection, cloud pipelines, real-time analytics, customer-driven product development
• Type: Full-time

San Francisco

• Skills: Machine Learning, AI, Personalization, Model Development, Data Processing, Customer Engagement, Real-Time Analytics, High-Performance Culture, SMS Campaigns, Email Campaigns

San Francisco

• Skills: Machine Learning, Retrieval-Augmented Generation, RAG pipelines, Python, Model Development, Statistical Methods, Embeddings, Vector Databases, Front-end Interfaces, Real-time Monitoring
• Experience: Strong proficiency in Python, deep understanding of ML model development, experience with RAG pipelines, and strong statistical background for evaluating model performance.
• Type: Full-time
• Salary: Competitive compensation and equity

San Francisco

• Skills: real-time AI, GPU infrastructure, inference engines, distributed inference, voice models, video models, ML application development, Pytorch, Transformers, cloud features
• Experience: Experience in end-to-end ML application development, contributing to the architecture of distributed ML systems, and strong understanding of ML development and inference technologies.
• Type: Full-time
• Salary: Competitive salary + Equity

San Francisco

• Skills: machine learning, deep neural networks, Python, medical imaging, cloud-based training, data augmentations, validation datasets, high-quality software, large-scale experiments, robotics
• Experience: At least 2 years of machine learning engineering experience
• Type: Full-time

San Francisco

• Skills: machine learning, LLMs, production, Python, evaluation, prompt engineering, finetuning, assessment, dynamically-generated lessons, Knowledge Graph
• Experience: 3+ years experience as a machine learning engineer shipping ML systems into production
• Type: Full-time

San Francisco

• Skills: AI research, Large Language Models, Python, AI model development, RAG, mentorship, cross-functional collaboration, publication, scalable applications, innovation
• Experience: 6-10 years in AI research leadership
• Type: Full-time

Oakland

• Skills: AI applications, technical strategy, consumer scale, distributed systems, cloud computing, full-stack development, AI technologies, SageMaker, Large Language Models, React
• Experience: 10+ years of experience designing complex distributed systems
• Type: Full-time
• Salary: $402,578 plus equity and benefits

San Francisco

• Skills: Deep Learning, Generative Models, Research Roadmap, Machine Learning, Pytorch, Tensorflow, Speech Processing, Computer Vision, Algorithm Development, Media Synthesis
• Experience: PhD or Master’s degree specialized in Deep Learning or equivalent experience.
• Type: Full-time
• Salary: $190,000 - $300,000/year

San Francisco

• Skills: AI, ML, Developer Evangelist, machine learning models, computer vision, data curation, data labeling, label validation, model evaluation, community engagement
• Experience: Previous experience working as a Machine Learning or Computer Vision Engineer or building machine learning models.
• Type: Full-time
• Salary: Competitive salary and equity

San Francisco

• Skills: Machine Learning, NLP, AI systems, Production systems, Model evaluations, Data processing, Deployment, Monitoring, Team collaboration, Data-driven analysis
• Experience: 2+ years of industry experience in ML/NLP including building production systems.
• Type: Full-time
• Salary: $150,000 - $200,000 annually

Redwood City

• Skills: Computer Vision, Machine Learning, Pytorch, Tensorflow, RGBD datasets, Point clouds, ML pipelines, Autonomous vehicles, Robotics, Cloud infrastructure
• Experience: Experience in machine learning and computer vision; familiarity with RGBD datasets and point clouds; experience in autonomous vehicles or robotics is very useful.

San Francisco

• Skills: machine learning, personalization, recommendation systems, deep learning, search optimization, ads technology, data science, cross-functional strategy, real-world problem solving, two-sided marketplace
• Experience: 5+ years of industry experience using machine learning to solve real-world problems
• Type: Full-time
• Salary: $209,500 to $288,000 per year

Berkeley

• Skills: machine learning, data science, deep learning, video processing, Python, R, CNNs, Tensorflow, PyTorch, computer vision
• Experience: MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
• Type: Internship

San Francisco

• Skills: AI engineers, data pipelines, evaluation systems, AI models, annotation pipelines, collaborate with AI researchers, high quality models, infrastructure for AI/ML, software development in Python, evaluation metrics
• Experience: Expertise building infrastructure for AI/ML model development in industry.
• Salary: $149,000 — $350,000 USD

San Mateo

• Skills: Machine Learning, Computer Vision, 3D Computer Graphics, Python Programming, AI/DL Frameworks, Generative Models, Neural Radiance Fields, Object Tracking, Cross-Functional Collaboration, Startup Environment
• Experience: Minimum of 3 years of professional industry/research experience in machine learning, computer vision, or computer graphics.
• Type: Full-time
• Salary: $165,000 - $230,000

San Francisco

• Skills: machine learning, software engineering, algorithm design, model development, model deployment, Python, TensorFlow, Keras, data challenges, cross-functional collaboration
• Experience: 8+ years of professional experience in machine learning, software engineering, or a similar domain; 5+ years with machine learning algorithms, model development, and model deployment; 3+ years in advanced algorithm design and analysis
• Type: Full-time
• Salary: $225-$250k + equity + benefits

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: Machine Learning, Generative Modeling, Molecular Systems, Deep Learning, Software Engineering, MLOps, Distributed Training, Inference Pipelines, GPU Optimization, Biochemistry
• Experience: Experienced, Senior level
• Type: Full-time

Burlingame

• Skills: Machine Learning, Drug Discovery, Tech Lead, Research Team, Collaboration, Scientific Excellence, ML Expertise, Innovative Models, Methodologies, Team Mentorship
• Experience: Leadership experience in machine learning research and team management

Burlingame

• Skills: Machine Learning, Drug Discovery, Generative Modeling, AI Innovation, Computational Chemistry, Deep Learning, Software Engineering, Molecular Systems, Research Agenda, Biochemistry
• Experience: Various levels of seniority: Senior, Staff, and Principal.
• Type: Full-time

San Francisco

• Skills: AI models, multimodal LLMs, document extraction, machine learning, cloud environments, deep learning frameworks, inference infrastructure, high-quality code, workflow automation, API orchestration
• Experience: 1+ years of hands-on experience in deep learning frameworks
• Type: Full-time
• Salary: 130k - 200k

San Francisco

• Skills: cloud-based AI solutions, content moderation, engineering team growth, terabyte-scale datasets, learning new technologies, engineering culture, driving engineering, managing engineering managers, ownership of projects, best-in-class AI models
• Experience: Experience managing a team of engineers and engineering managers
• Type: Full-time

San Francisco

• Skills: computer vision, object detection, stereo depth mapping, feature detection, 3D reconstruction, image classification, OCR, sensor fusion, data processing, machine learning
• Experience: Experience in computer vision, image classification, and sensor fusion.

San Francisco

• Skills: machine learning, deep learning, Python, PyTorch, hyperparameter sweeps, data generation, experimentation, infrastructure development, reasoning, AI systems
• Experience: Comfortable writing Python; Familiar with PyTorch and training deep neural networks.
• Type: Full-time
• Salary: $140,000–$350,000 cash, $10,000–$5,000,000 in equity

San Francisco

• Skills: AI, predictive algorithms, blockbuster hits, ebook production, Galatea app, bestseller-generating, hit-rate, traditional publishers, expansion, entertainment powerhouse

Fremont

• Skills: signal processing, machine learning, neural networks, real-time ML products, C/C++/Rust, Python, neural data, medical device, software engineering principles, BCI
• Experience: Experience writing production-level C/C++/Rust and Python; Proven track record of designing, building, and shipping real-time ML products; Strong foundation in signal processing, algorithms, and software engineering principles
• Type: Full-time
• Salary: $200,000 - $309,000 USD

Mountain View

• Skills: Machine Learning, Advertising Algorithm, Recommendation System, NLP, CV, Data Mining, Ad Optimization, CTR Models, CVR Models, Technical Solutions
• Experience: Minimum of 5 years’ experience in development, with in-depth knowledge of machine learning technologies, including at least 3 years specifically dedicated to working on advertising systems.
• Type: Full-time

San Francisco

• Skills: ML Engineer, Machine Learning, Large Language Models, Natural Language Processing, AI technologies, Prototyping, Cross-functional Collaboration, Data Pipeline Technologies, Product Features, Problem Solving
• Experience: 3+ years in machine learning, recommendation or ranking systems, natural language understanding or generation, or artificial intelligence.
• Type: Full-time
• Salary: $170,000 - $250,000 per year

Mountain View

• Skills: machine learning, data lakehouses, Graph Neural Net, Predictive Query Language, model accuracy, architectural strategies, development process, cross-functional teams, feature engineering, training pipelines

Mountain View

• Skills: machine learning, relational databases, product user experiences, AI backends, cloud experiences, high-quality software design, unit tests, integration tests, Predictive Query, Graph Neural Networks

Mountain View

• Skills: machine learning, data lakehouses, Graph Neural Networks, feature engineering, predictive query language, scalable storage, cloud deployment, ML techniques, training pipelines, model accuracy
• Experience: 3+ years in machine learning
• Type: Full-time

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.