86 machine learning platform engineer jobs at 41 companies in Los Gatos, CA

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Machine Learning Platform Engineer
San Francisco or New York City or Los Angeles or Seattle
$245k-$345k/yr HybridFull Time
Whatnot
Whatnot: Social marketplace for buying and selling via live streams
4+ YOE4+ years building ML systems, 3+ years engineering production systems, 1+ year Python, experience with distributed training/inference, databases, monitoring, and cloud services.
Python, PostgreSQL, DynamoDB, Elasticsearch, Redis, DataDog, Grafana, AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS, ECS, Apache Kafka, Flink
2mo
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Senior machine learning platform engineer, Evaluation & Privacy
Cupertino, California, United States
OnsiteFull Time
Apple
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Design and build privacy-preserving machine learning tools and support teams across the company; strong expertise in ML platforms and privacy engineering expected.
2mo
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Staff Machine Learning Platform Engineer
Kitchener-Waterloo or Toronto or San Francisco
$216k-$297k/yr HybridFull Time
Faire
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
8+ YOE8+ years in production ML or data platforms; graduate degree in CS/Engineering/Statistics or related field; strong Databricks/Spark/Delta Lake/MLflow; Python/SQL; cloud and IaC; MLOps.
Databricks, Spark, Delta Lake, MLflow, Terraform, GitHub Actions, Kubernetes, AWS, S3, Python, SQL, Kotlin, Airflow, Snowflake, Unity Catalog
2d
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Machine Learning Engineer, Platform
San Francisco or New York City
HybridFull Time
Brain Co.
Brain Co.: Builds AI software platforms for governments and large enterprises.
Expertise in ML and modern AI (LLMs, VLMs, RL fine-tuning), production ML, evaluation and model routing, and building shared platform capabilities for institutional workflows.
LLMs, RL
3w
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Machine Learning Platform Engineer, Applied Machine Learning Team
San Jose, California, United States
OnsiteFull Time
ByteDance
ByteDance: Developing AI-driven content platforms and mobile applications.
3+ YOEBachelor's in CS or related, 3+ years software engineering, proficiency in Python and Golang, experience with distributed computing and large-scale data processing (Hadoop, Spark), strong communication and problem-solving.
Python, Golang, Hadoop, Spark
3w
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Machine Learning Engineer, GAI Search Platform - Moveworks
Mountain View, California, United States
$140k-$217k/yr OnsiteFull Time
ServiceNow
ServiceNowNYSE: NOW: Provides a cloud platform for automating enterprise digital workflows.
3+ YOE3+ years engineering experience; background in information retrieval, search ranking, NLP or machine learning; experience with Python; knowledge of search platforms, evaluation metrics, and LLM-enabled features preferred.
Python, Golang, LLMs, retrieval augmented generation (RAG)
1w
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Principal Machine Learning Platform Engineer (Prisma AIRS)
Santa Clara, California, United States
$157k-$254k/yr OnsiteFull Time
Palo Alto Networks
Palo Alto NetworksNASDAQ: PANW: Provides enterprise-grade network, cloud, and endpoint security software.
Extensive MLOps and ML systems experience, expert Python, distributed systems on major cloud platforms, Kubernetes/Docker, ML frameworks and inference optimization expertise.
Python, Go, Java, C++, GCP, AWS, Azure, OCI, Kubernetes, Docker, TensorFlow, PyTorch, ONNX, TensorRT, vLLM, SGLang, TensorRT-LLM, CUDA, Triton Language, Kafka, Spark, Flink, Jenkins, GitLab CI, Tekton
2w
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Sr Machine Learning Engineer
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yr HybridFull Time
The Walt Disney Company
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOE5+ years software/ML engineering experience, BS/MS in CS or equivalent, strong Java skill, experience with large-scale ML/DL platforms and LLM tools, good communication and problem-solving.
Java, scikit-learn, Spark MLLib, PyTorch, AWS Bedrock, Azure Cognitive Services, Vertex AI, LangGraph, Crew AI, strands sdk, vector databases, SpringBoot, DynamoDB, Redis, ValKey, MemCache, Apache Kafka, Kinesis, AWS, Terraform, Docker, Kubernetes
2mo
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Senior Machine Learning Engineer – GeoAI Platform
Bellevue or San Francisco or Seattle
$185k-$275k/yr HybridFull Time
Wherobots
Wherobots: Cloud-native platform for geospatial data analytics and AI.
5+ YOE5+ years building distributed data/ML systems; hands-on experience with Ray, PyTorch, GPU inference, Python scientific stack, object storage, and large-scale data formats.
Ray, PyTorch, PyArrow, NumPy, Xarray, Spark, Dask, CUDA, S3, GeoParquet, Parquet, Zarr
2mo
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Staff Software Engineer, Machine Learning Platform
Seattle or South San Francisco
$224k-$336k/yr OnsiteFull Time
Stripe
Stripe: Provides global financial infrastructure and payment processing for businesses.
10+ YOE10+ years software development experience, technical leadership on large distributed systems and ML platform work, experience with model training/serving/orchestration, strong communication and cross-functional collaboration.
AWS, SageMaker, Bedrock, Databricks, OpenAI
3mo
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Machine Learning Engineer – World Model
Sunnyvale, California, United States
$150k-$450k/yr OnsiteFull Time
Institute of Foundation Models
Institute of Foundation Models: Develops open-source frontier-class AI foundation models and research.
3+ YOE3+ years in ML infrastructure/MLOps or related backend/platform engineering; strong cloud skills; experience with scalable ML systems.
AWS, Docker, Python, Git, Kubernetes, Ray, Kafka, Spark, Gradio, OpenWebUI
1w
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Machine Learning Engineer
San Francisco, California, United States
HybridFull Time
Plenful
Plenful: AI-powered workflow automation platform for healthcare and pharmacy operations.
5+ YOE5+ years ML or software engineering experience, strong Python, experience deploying production ML models, familiarity with MLOps and cloud platforms, BS in a technical field or equivalent.
Python, PyTorch, TensorFlow, Scikit-learn, SQL, PostgreSQL, Docker, Kubernetes, AWS, GitHub Actions, REST APIs, MLflow, Weights & Biases, Airflow, LangFuse, LangSmith, Ragas, Braintrust, vLLM, BentoML, Pinecone, Weaviate, Qdrant, OpenAI, Anthropic
2w
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Senior Machine Learning Engineer, Features
San Mateo, California, United States
$190k-$250k/yr HybridFull Time
Cognitiv
Cognitiv: Deep learning platform for predictive advertising and media buying.
3+ YOE3+ years ML infrastructure/data platform experience; proficiency in Python, Java or Scala; experience with Spark, Flink, Kafka; strong communication and cross-functional collaboration.
Python, Java, Scala, Apache Spark, Apache Flink, Apache Kafka, PyTorch, Kubernetes, Docker, AWS
1d
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Staff Machine Learning Engineer - Ads
Mountain View, California, United States
$164k-$282k/yr OnsiteFull Time
Coupang
CoupangNYSE: CPNG: Provides an end-to-end e-commerce and logistics network.
6+ YOEBachelor's in a technical field,6+ years applied ML experience,proficiency in Python or Java,experience building production ML systems,knowledge of ML frameworks and cloud platforms.
Apache Spark, Airflow, Kubeflow, MLflow, Python, Java, Vertex AI, BigQuery, SageMaker, TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, H2o.ai, Weights & Biases, Amazon SageMaker
3w
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Machine Learning Engineer
San Jose, California, United States
$152k-$265k/yr OnsiteFull Time
Adobe
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
7+ YOE7+ years building AI platforms, strong cloud and distributed computing expertise, outstanding programming in Python/Java/C++, and proven algorithm implementation and problem-solving skills.
Python, Java, C++
2mo
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Senior Machine Learning Engineer - Personalization
San Francisco or Bellevue
$132k-$246k/yr HybridFull Time
Warner Bros. Discovery
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
4+ YOE4+ years ML; 3+ years leading multi-stakeholder projects; deep ML lifecycle knowledge; large-scale recommender systems; Python/Java/Go; cloud platforms; SQL; CI/CD; strong communication; MS or equivalent.
Python, Java, Go, SQL, Cloud (AWS/GCP/Azure), CI/CD, GitHub Actions, Jenkins
1w
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Sr Machine Learning Engineer
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yr HybridFull Time
The Walt Disney Company
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOE5+ years ML-focused software engineering experience, proficiency with Java and large-scale ML platforms, experience with ML frameworks and LLMs, strong communication and problem-solving skills.
Java, scikit-learn, Spark MLLib, PyTorch, AWS Bedrock, Azure Cognitive Services, Vertex AI, LangGraph, Crew AI, strands sdk, SpringBoot, DynamoDB, Redis, ValKey, MemCache, Apache Kafka, Kinesis, AWS, Terraform, Docker, Kubernetes
1mo
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Sr Machine Learning Engineer
San Jose, California, United States
$160k-$237k/yr HybridFull Time
PayPal
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
3+ YOE3+ years relevant experience and a Bachelor's degree (or equivalent). Experience with TensorFlow, PyTorch, scikit-learn, Python, cloud platforms (AWS/Azure/GCP), ML model deployment, and large-scale data processing; PhD preferred for research in LLMs/agents.
TensorFlow, PyTorch, scikit-learn, Python, LangChain, Google ADK, AWS, Azure, GCP
4w
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Staff Engineer - Machine Learning
San Mateo, California, United States
$211k-$261k/yr HybridFull Time
Freshworks
FreshworksNASDAQ: FRSH: Provides cloud-based customer support and IT management software.
6+ YOE6+ years backend engineering experience, 1–2+ years AI/ML platform work, expert Java and Python, hands-on LangChain/LangGraph/LangSmith, Kubernetes, AWS, Terraform, PostgreSQL and vector DB experience.
LangChain, LangGraph, LangSmith, Java, Python, Kubernetes, AWS, Terraform, PostgreSQL, Pinecone, Weaviate, FAISS, Temporal, Airflow, Kafka, OpenTelemetry
2mo
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Director, Machine Learning Engineering
Palo Alto or New York City or Dallas or Bethesda or Seattle
$150k-$300k/yr OnsiteFull Time
GEICO
GEICO: Provides vehicle and property insurance services to consumers.
10+ YOE10+ years engineering or AI/ML leadership experience; proven track record building scalable distributed systems and personalization platforms; expertise in RAG, context/memory architectures, and real-time inference; strong business acumen and cross-functional leadership.
Retrieval-Augmented Generation (RAG), LLMs