12 full stack ml engineer jobs at 9 companies in Pacific Grove, CA
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Full stack Developer
San Jose, California, United States
OnsiteFull Time
Prodapt: Provides IT consulting and network transformation services for telecommunications providers.
8+ YOE8+ years development experience; proficiency in Python and NodeJS, full-stack frameworks, Postgres/NoSQL, and AI/ML frameworks; bachelor’s degree or equivalent.
Alpha Design AI: AI-native EDA platform for semiconductor design and verification.
BS/MS in Computer Science or related, experience building full-stack software and ML workflows, familiarity with Python, PyTorch, LLMs, TypeScript/JavaScript, strong communication and customer-facing skills.
Prodapt: Provides digital engineering and IT consulting services for telecom.
8+ YOE8+ years development experience; proficiency in Python and Node JS; front- and back-end development; Postgres and NoSQL; AI/ML frameworks (TensorFlow, PyTorch, Keras); containerization and CI/CD experience preferred.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
3+ YOE3+ years of full-stack development with React/TypeScript; strong UI/UX and data visualization; ML experimentation and A/B testing; SQL; observability tools.
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
5+ YOE5+ years experience, bachelor’s or master’s in engineering, end-to-end full-stack experience, strong AI/ML integration skills, cloud and CI/CD experience, strong communication and product focus.
Lead Software Engineer, ML Network Stack - Annapurna Labs
Cupertino, California, United States
$193k-$262k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOE5+ years leading system design or architecture, 5+ years full SDLC experience, leadership/mentoring experience, 5+ years with C or C++, experience with ML communication libraries or RDMA networking preferred.
NCCL, NVSHMEM, NIXL, NCCL GIN, CUDA, Linux, RDMA, C, C++
F5NASDAQ: FFIV: Provides application delivery networking and multi-cloud security solutions.
10+ YOE10+ years software engineering with recent ML/AI production experience; strong full-stack and backend skills; expertise in Python, Java, React/Next.js, MLOps, cloud (AWS/Azure), CI/CD, IaC, containers, and observability.
React, Next.js, TypeScript, JavaScript, Node.js, Python, Go, Java, Spring Boot, Hibernate, Postgres, DynamoDB, Aurora, Kinesis, S3, Microsoft Azure Blob, Microsoft Cosmos DB, JUnit, TestNG, Mockito, Selenium, Cucumber, Solace, Kafka, AWS SNS, AWS SQS, GitHub Actions, Microsoft Azure DevOps, Jenkins, Terraform, Microsoft Bicep, Microsoft ARM, Docker, Kubernetes, AKS, EKS, Salesforce Service Cloud, Experience Cloud, Coveo, Spark, Databricks, SQL, MLOps
GlobalLogic: Digital product engineering and software development services provider.
10+ YOEExpertise in ML inference, deployment, benchmarking and quality testing on GCP and hybrid stacks; familiarity with Java streaming pipelines, TensorFlow/PyTorch/JAX; Bachelor's/Master's in CS, CE, EE, or Mathematics.
Google Cloud Platform, GCP, Java, TensorFlow, PyTorch, JAX
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Build tools, interfaces, and workflows for ML developers and researchers across front-end and backend systems; integrate ML services into production; early-career full‑stack growth orientation.
Research Engineer - LLM Training Infrastructure - Seed Infra
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Experience with large-scale distributed LLM training, strong Python/C++ skills, ML systems and infrastructure knowledge, proficiency in parallelism strategies and training stack internals (PyTorch, CUDA, NCCL).
NioNYSE: NIO: Designs and manufactures smart premium electric vehicles.
Ph.D. in CS/CE, deep expertise in OS internals or ML systems, strong systems programming in C/C++ or Rust, experience with OS kernels, memory management or ML inference stacks; academic publications and open-source contributions preferred.