266 Machine Learning Engineering jobs in San Francisco.

Oakland

• Skills: ML performance, quantization, speculative decoding, LLM Inference, GPU architecture, PyTorch, TensorRT, Docker, Kubernetes, AI/ML inference solutions
• Experience: Experience with one or more general-purpose programming languages, such as Python or C++.
• Type: Full-time
• Salary: Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums)

Menlo Park

• Skills: ML Infrastructure, Cloud Platforms, GPU Allocation, High-Performance Computing, Pytorch, TensorFlow, JAX, Kubernetes, Large Language Model, Diagnostic Tools
• Experience: 4+ years of experience supporting the infrastructure within an ML environment
• Type: Full-time

San Francisco

• Skills: AI infrastructure, cloud services, distributed systems, Large Language Models, AI inference, Kubernetes, microservices, REST APIs, performance optimization, open-source AI
• Experience: Demonstrable experience in distributed systems design and implementation; proven track record of delivering early-stage projects under tight deadlines; expertise in using cloud-based services.
• Type: Full-time
• Salary: up to $290,000 base salary

San Francisco

• Skills: AI-native infrastructure, Cloud-native microservices, AI systems, Kubernetes, CI/CD, AWS, GCP, Python, DevOps, ML/AI Ops
• Experience: 3-10+ years of software engineering experience
• Type: Full-time
• Salary: Competitive salary, benefits, and equity

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, 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: data ingestion, processing pipeline, financial applications, scalable systems, low-latency, structured documents, unstructured documents, Python, LLM, Spark
• Experience: 3+ years
• Type: Full-time

Mountain View

• Skills: machine learning pipelines, ML lifecycle, dataset generation, training frameworks, cloud GPU training, end-to-end machine learning pipelines, ML engineering best practices, open source landscape, analytical skills, complex data problems
• Experience: Experience with building software components to address production, full-stack machine learning challenges.
• Type: Full-time
• Salary: $153,000 - $222,000 USD annually

Palo Alto

• Skills: AI, ML, Payment Integrity, Audit solutions, NLP, Automation, Data Science, Data Engineering, Healthcare, Big-data technologies
• Experience: 3+ years building and shipping production AI/ML solutions and co-working with Data Scientists
• Type: Full-time

San Francisco

• Skills: machine learning, infrastructure, real-time video understanding, Kafka, Flink, CI/CD, APIs, GPU-accelerated, observability, scalable ingestion pipelines
• Experience: Strong programming skills (Python / Javascript), experience building backend APIs and services, prior experience setting up CI/CD pipelines for ML integration, understanding of ML workflow management
• Type: Full-time
• Salary: Competitive compensation and equity

San Francisco

• Skills: AI Engineer, NLP, ML technologies, LLM-based applications, software architecture, machine learning algorithms, cloud deployment, scalable systems, CI/CD practices, cross-functional collaboration
• Experience: 5+ years of professional experience in software engineering, AI/ML development
• Type: Full-time

Oakland

• 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

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 Francisco

• Skills: Machine Learning, AI, Data Science, Model Deployment, Collaboration, Leadership, Strategic Thinking, MLOps, Predictive Models, Ethical AI
• Experience: 8+ years leading teams in applied machine learning, AI, or data science roles
• Type: Full-time
• Salary: $261,000-$299,000/year

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

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: machine learning, AI solutions, team management, datasets, model training, innovation, mentorship, engineering leadership, data analysis, scalability
• Experience: Experience managing a team of machine learning engineers working on ML projects of a massive scale
• Type: Full-time

Mountain View

• Skills: Machine Learning, Recommendation Systems, User Behavior Modeling, Data Pipeline Development, Feature Engineering, Machine Learning Frameworks, TensorFlow, PyTorch, Data Processing Tools, Problem-Solving Skills
• Experience: Minimum of 3 years’ industry experience in development
• Type: Full-time
• Salary: $130,000 — $260,000 USD

San Francisco

• Skills: big data, Spark, Kafka, Flink, data lake, data warehouse, data infrastructure, analytics, MLOps, scalability
• Experience: Experience with big data ingestion, compute, and storage systems; experience with data or infrastructure-focused engineering teams; scaling data platforms.
• Type: Full-time
• Salary: $220,000 - $298,000 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

Palo Alto

• Skills: staff software engineer, recommendations, machine learning, personalized matchmaking, recommendation algorithms, user experiences, critical business outcomes, hybrid role, collaboration, innovative features
• Type: Hybrid

San Francisco

• Skills: Machine Learning, Natural Language Processing, Data Structures, Algorithms, Distributed Systems, Backend Software Engineering, APIs, Python, Golang, Collaborative Problem-Solving
• Experience: 10+ years as a backend software engineer, integrating and deploying ML driven functionality
• Type: Full-time
• Salary: US$180,000 to US$260,000

San Francisco

• Skills: software engineer, ML Infrastructure, post-training, model evaluation, ML models, cloud infrastructure, machine learning, system design, APIs, LLM-benchmarks
• Experience: 4+ years of experience developing ML platforms
• Type: Full-time
• Salary: $175,000 — $220,000 USD

San Francisco

• Skills: Generative AI, LLMs, Machine Learning models, Backend, Frontend, Distributed Systems, Python, Javascript, Kubernetes, Cloud Providers
• Experience: 5+ years of full-time engineering experience, post-graduation
• Type: Full-time
• Salary: $160,000 - $254,400 USD

Pleasanton

• Skills: Machine Learning, AI, Data Science, Python, APIs, MLOps, Kafka, AWS, Cloud Computing, Distributed Computing
• Experience: 7–10 years of hands-on experience as a Machine Learning Engineer or in a similar role
• Type: Full-time

San Francisco

• Skills: Machine Learning, Infrastructure, Technical Leadership, Distributed Systems, Scala, Data Engineering, Cloud Platforms, Database Technologies, System Design, Project Management
• Experience: 10+ years of experience in software engineering, with a significant focus on building and scaling large-scale distributed systems
• Type: Full-time
• Salary: Base ($246,000 to $352,000 / year) + Bonus + Long-Term Incentive Plan + Benefits

Santa Clara

• Skills: Machine Learning, Cloud Infrastructure, C++, Python, MLOps, Bazel, Autonomous Vehicles, Scalable Architecture, Software Quality, Deployment
• Experience: 5+ years developing backend services; 3+ years experience working on complex Machine learning infrastructure
• Type: Full-time
• Salary: $179,400 - $303,600

Oakland

• Skills: AI Sales Engineer, machine learning, AI-driven solutions, RAG pipelines, knowledge engineering systems, multi-agent workflows, traditional ML pipelines, product managers, collaborate, development

Oakland

• Skills: software engineering, platform team, ML pipeline, data processing, video processing, infrastructure, collaboration, system reliability, workplace safety, AI technology
• Experience: Experience in software and infrastructure engineering
• Type: Full-time

Foster City

• Skills: Machine Learning, ML models, prediction and planning, robot behaviors, integration, safety-critical environments, AI technologies, state of the art, decision-making, cross-functional team
• Experience: 5+ years in ML model development and integration in production environments
• Type: Full-time
• Salary: Not disclosed

San Mateo

• Skills: machine learning, 3D models, cloud environments, optimization, data analysis, AI, inference pipelines, scalable architectures, generative models, distributed training
• Experience: 5+ years of experience in machine learning or related fields
• Type: Full-time
• Salary: $165,000 - $230,000

San Francisco

• Skills: ML inference platform, Python, Go, Kubernetes, model serving, infrastructure automation, machine learning, collaboration, monitoring, resource management
• Experience: 1-3 years experience in software engineering or infrastructure
• Type: Full-time
• Salary: Competitive compensation package

Mountain View

• Skills: Machine Learning, AI platform, Python, TensorFlow, PyTorch, AWS Sagemaker, Databricks, GCP Vertex AI, LLM Ops, data pipeline
• Experience: 4+ years of industry machine learning experience and software engineering skills
• Type: Full-time
• Salary: $232,200 - $283,800 plus equity and benefits

San Francisco

• Skills: machine learning, large language models, system optimization, multi-node training, distributed ML systems, CUDA, Pytorch, transformers, flash attention, cross functional team
• Experience: Experience with multi-node LLM training and inference; Experience with developing large-scale distributed ML systems; Strong software engineering skills
• Type: Full-time
• Salary: $200,800 - $251,000 USD

Burlingame

• Skills: Machine Learning, Programming Experience, Recommendation Systems, Data Mining, Artificial Intelligence, PyTorch, TensorFlow, High Reliability, Python, Scripting Languages
• Experience: 2+ years of programming experience in a relevant programming language; 2+ years of hands-on experience in machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence.
• Type: Full-time
• Salary: $56.25/hour to $173,000/year + bonus + equity + benefits

Pleasanton

• Skills: Machine Learning, AI Solutions, Data Science, Deep Learning, Statistical Modeling, Big Data Ecosystems, Recommendation Systems, Natural Language Processing, Cloud Infrastructure, MLOps
• Experience: 15+ years of experience in applied science, data science, or machine learning roles
• Type: Full-time

San Francisco

• Skills: machine learning, data science, model development, system design, collaboration, innovation, data-driven decision making, mentorship, cloud platforms, distributed computing frameworks
• Experience: 8+ years (or Ph.D. with 6+ years) of experience in machine learning, data science, or related fields, with at least 3 years in a senior or staff engineering role.
• Type: Full-time
• Salary: $193,000 - $242,000

Mountain View

• Skills: Search & Discovery, machine learning, infrastructure, system design, technical solutions, collaboration, metrics-driven, problem-solving, advertising systems, team management
• Experience: 10+ years of industry experience in technology companies
• Type: Full-time
• Salary: $184,000 - $376,000/year

San Mateo

• Skills: Deep Learning, MLOps, Computer Vision, Inference Optimization, Model Deployment, Machine Learning Pipelines, GPU Kernels, Image Processing, Vision Language Models, Architectural Development
• Experience: Demonstrated hands-on experience with MLOps, ML inference optimization and edge deployment
• Type: Full-time
• Salary: $170,000 - $236,500

San Francisco

• Skills: technical architecture, product managers, ML platform engineers, registry system, enterprise ML, compliance, monitoring capabilities, scalable, user experience, model fine-tuning

San Francisco

• Skills: machine learning, trust & safety, fraud detection, neural networks, LLMs, cloud technology, scikit-learn, Pytorch, Jax, Tensorflow
• Experience: At least three years of experience addressing sophisticated ML problems.
• Type: Full-time
• Salary: $176,000 - $220,000 USD

San Francisco

• Skills: machine learning, ML Ops, deep learning frameworks, recommendation models, programming, AI publications, collaboration, technical direction, complex problems, operational excellence
• Experience: 11+ years of industry machine learning experience, 3+ years of experience as a technical lead
• Type: Full-time
• Salary: $284,000-$500,000 annually

San Francisco

• Skills: machine learning, AI systems, model prototyping, product experiences, data analysis, collaborative team, cloud environments, recommendation systems, personalized insights, data pipelines
• Experience: Have experience building, shipping, and supporting ML models in production at scale.
• Type: Full-time
• Salary: $210,000 - $230,000

Mountain View

• Skills: Machine Learning, Data Science, Feature Engineering, Data Pipelines, A/B Testing, Model Deployment, Machine Learning Operations, Cross-functional Collaboration, Cloud Technologies, SQL
• Experience: 6+ years of experience
• Type: Full-time
• Salary: 191,000 – 258,500

San Francisco

• Skills: Machine Learning, ML Platform, Infrastructure, Deployment, Model Training, Data Scientists, Model Security, Monitoring, Distributed Training, Cloud-Based Ecosystems
• Type: Full-time
• Salary: $176,490 - $245,100

Mountain View

• Skills: Machine Learning, Data Engineering, Software Development, AI, Data Analysis, Automation, SQL, Data Strategy, Collaboration, Technology Innovation
• Type: Full-time
• Salary: $191,000 - $258,500

San Francisco

• Skills: Machine Learning, MLOps, CI/CD, model monitoring, data quality, infrastructure-as-code, feature engineering, Docker, Kubernetes, AWS
• Experience: 8+ years
• Type: Full-time
• Salary: $200,800 - $276,100 (California); $184,000 - $253,000 (Illinois)

Palo Alto

• Skills: autonomous driving, Machine Learning, data infrastructure, AWS, Kubernetes, fault-tolerant systems, large-scale data, stream processing, observability, infrastructure automation

Palo Alto

• Skills: ML systems, infrastructure, software production, Python, Go, Java, C++, natural language processing, customer-focused, team player
• Experience: 5+ years
• Type: Full-time
• Salary: $140,000 - $265,000

San Francisco

• Skills: machine learning, generative AI, large language models, prompt engineering, data pipelines, model training, collaboration, Python, AWS, Docker
• Experience: 4+ years
• Type: Full-time
• Salary: $128,500 - $192,500 + equity + benefits

San Francisco

• Skills: machine learning, infrastructure, backend system design, APIs, distributed training, microservice architecture, Python, Docker, Kubernetes, infrastructure as code
• Experience: 4+ years of experience building machine learning training pipelines or inference services in a production setting.
• Type: Full-time
• Salary: $160,000 - $225,600 USD

San Mateo

• Skills: machine learning, AWS, data streaming, automation, cloud solutions, infrastructure development, continuous integration/delivery, disaster recovery, programming, container orchestration
• Experience: 5+ years
• Salary: $172,100 — $258,100 USD

San Francisco

• Skills: Machine Learning, Data Science, Model Monitoring, Model Optimization, API Deployment, Data Pipelines, Collaboration, Deep Learning, ML Operations, Fintech
• Experience: 5+ years of professional experience in data science or machine learning engineering
• Salary: $180,000 - $220,000

San Francisco

• Skills: machine learning, software engineer, scalability, API design, data modeling, distributed systems, code quality, Twitch, harassment prevention, community health
• Experience: Bachelor's degree in Computer Science or related field or equivalent industry experience
• Salary: $99,500 - $200,000 USD

San Francisco

• Skills: machine learning, infrastructure, model development, deployment, internal tools, collaboration, data infrastructure, teamwork, best practices, engineering
• Experience: 5+ years of backend or infrastructure experience; 3+ years of experience in machine learning or related fields.
• Salary: $149,000 - $350,000 USD

San Francisco

• Skills: machine learning, pipelines, data infrastructure, model deployment, hyperparameter tuning, collaboration, ETL, monitoring, forecasting, teamwork

San Francisco

• Skills: Machine Learning, Data Pipelines, Software Engineering, ML Ops, Big Data, Data Ingestion, Experimentation, Automation, Python, SQL
• Type: Full time
• Salary: $200,800 - $276,100

San Francisco

• Skills: full stack, ML engineer, AI, code intelligence, software development, productionizing ML models, development infrastructure, data orchestration, feature pipelines, coding agents
• Experience: 5-8 years of industry experience
• Type: Full-time
• Salary: $195,000 USD

Sunnyvale

• Skills: ML Ops, AI models, deployment pipeline, containerization, CI/CD, Python, C++, communication skills, problem-solving, technical leader
• Experience: Over 8 years experience in Site Reliability Engineering or a similar role, especially in a production environment.
• Type: Full-time

Santa Clara

• Skills: ML Operations, Deep Learning, Computer Vision, CI/CD pipelines, Docker, Kubernetes, AWS, Terraform, Machine Learning Infrastructure, Model Lifecycle Management
• Experience: Hands on experience with developing scalable cloud infrastructure.
• Type: Full-time
• Salary: $176,748 – $229,772 USD

Palo Alto

• Skills: machine learning, ML algorithms, model architecture, end-to-end strategies, ML frameworks, data curation, supervised metrics, undervised metrics, technical strategy, cross-organizational problem solving

San Francisco

• Skills: data ingestion, indexing, AI platform, document extraction, modularized services, data pipeline, event driven architectures, ML models, scalable solutions, legal technology
• Experience: 5+ years of industry experience designing and building distributed data systems
• Type: Full-time