180 entry level ml engineer jobs at 55 companies in Soquel, CA
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ML Infrastructure Engineer
Palo Alto, California, United States
$180k-$440k/yrOnsiteFull Time
xAI: Develops advanced artificial intelligence systems to understand the universe.
2+ YOE2+ years building large-scale production systems or ML infrastructure; degree in CS or related field or equivalent experience; strong Python and compiled-language skills; experience with GPU and distributed systems.
ML Infra Engineer Graduate (Ads Infra) - 2027 Start
San Jose, California, United States
$128k-$256k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
Bachelor's or Master's in computer science or related field; proficiency in C++, Python, Go or Java; strong knowledge of data structures, algorithms, ML, distributed systems and large-scale data processing.
ZooxNASDAQ: AMZN: Developing autonomous robotaxis for urban ride-hailing services.
2+ YOE2+ years ML infrastructure experience; experience with PyTorch/DeepSpeed/JAX/Ray and AWS; building scalable, reliable ML training and lifecycle tools; strong collaboration and systems design skills.
Software Engineer, ML Infrastructure, Optimization
Mountain View, California, United States
$160k-$241k/yrOnsiteFull Time
Nuro: Builds autonomous driving software and electric delivery robots.
2+ YOE2+ years in ML optimization infrastructure; experience with quantization, pruning, ML compilers and GPU runtimes; proficient in Python, C++, CUDA and deep learning frameworks (PyTorch, JAX, TensorFlow, Keras).
Hardware Development Engineer, AI/ML Server Development
Seattle or Denver or Cupertino
$126k-$185k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
Bachelor's in electrical/computer engineering, understanding of computer architecture, Linux experience, strong communication and debugging skills; programming/scripting experience preferred.
2+ YOEBachelor's degree or equivalent experience; 2 years software development experience (or 1 year with advanced degree); 1 year experience in ML areas (speech/audio, reinforcement learning, or ML infrastructure); ML infrastructure experience and strong problem-solving skills.
Applied MaterialsNASDAQ: AMAT: Manufacturers of equipment for semiconductor and display production.
2+ YOEBachelor's in engineering/computer science/data science required; 5+ years relevant experience (or 2+ with a Master’s). Strong analytics, AI/ML familiarity, Python/R/C# programming, model lifecycle and production deployment experience.
Lawrence Livermore National Laboratory: Develops science and technology for United States national security.
0+ YOEEntry-level data science engineer proficient in Python, ML/AI, and data pipelines; able to work on LLM-based projects; requires U.S. citizenship and ability to obtain DOE Q clearance.
Micron TechnologyNASDAQ: MU: Designs and manufactures semiconductor memory and data storage solutions.
BS in EE/CE/CS, hands-on experience with AI/ML/LLMs and automation, strong Python skills, knowledge of CMOS/custom layout and verification; familiarity with LLM integration and prompt engineering.
Eightfold.ai: AI-native platform for talent management and workforce optimization.
2+ YOEExperience in machine learning, LLMs, agentic AI, reinforcement learning; proficiency with Python, TensorFlow/PyTorch, AWS, Docker, Kubernetes; 2+ years relevant ML experience; strong coding, algorithms, and communication skills.
Match GroupNasdaq: MTCH: Provider of a global portfolio of online dating services.
1+ YOEBS/MS in CS or related field, 1+ year industry ML/software experience, strong CS fundamentals, proficiency in Python and one other language (Java/Kotlin/Go/Scala), experience building ML systems, strong communication.
Software Engineer, Systems ML - Compilers / Backend
Sunnyvale, California, United States
$154k-$217k/yrOnsiteFull Time
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
2+ YOEBachelor's in CS or equivalent,2+ years building compilers/toolchains or code-optimization software,experience with Python and/or C/C++,and AI framework or model-acceleration experience on GPU/TPU/custom ASICs.
Eightfold: A talent intelligence building AI-powered products to help organizations plan, hire, develop, and retain a diverse workforce.
2+ YOEExperience building agentic AI and multi-agent systems, proficiency with LLMs, Python, TensorFlow/PyTorch, AWS, Docker, Kubernetes; strong coding, algorithms, and communication skills; 2+ years ML experience; Masters/PhD or equivalent preferred.
NewsBreak: Local news aggregation platform powered by artificial intelligence.
Bachelor's in CS/AI/Data Science required. Experience building and deploying LLM-based agentic systems, ML fundamentals, REST/API integration, and Kubernetes. Strong software-engineering, analytical, and problem-solving skills; ad delivery or recommendation experience preferred.
LLMs, Multimodal Foundation Models, RAG, REST, API, Kubernetes
IntuitiveNASDAQ: ISRG: Robotic-assisted systems for minimally invasive surgery.
2+ YOE2+ years AI/ML or data experience, strong Python and SQL, experience creating YAML semantic views and working with LLMs, bachelor\u0002s degree in a quantitative field, strong communication and stakeholder collaboration skills.
RubrikNYSE: RBRK: Secures enterprise data across cloud and on-premises environments.
2+ YOEBachelor's in a technical field required, 2+ years production ML experience, proficiency in Python and PyTorch, experience training/fine-tuning/distilling language models, serving low-latency models, and building closed-loop data and evaluation pipelines.
Python, PyTorch, vLLM, SGLang, TensorRT-LLM, LoRA, DPO, RLAIF, RLHF, GRPO, FP8, INT8, KV-cache, MCP, LiteLLM, Google ADK, Azure AI Foundry, Vertex AI
Senior AI Infrastructure Engineer - Model Training
Mountain View, California, United States
$190k-$260k/yrOnsiteFull Time
Kodiak RoboticsNASDAQ: KDK: Develops autonomous driving technology for commercial trucking and defense.
2+ YOEDegree in CS or related field,2+ years ML systems experience,expertise in distributed training,high-performance data pipelines,GPU performance and profiling,Python and PyTorch skills.