238 ai data engineer jobs at 70 companies in Salinas, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
XPengNew York Stock Exchange: XPEV: Designs and manufactures smart electric vehicles and autonomous technology.
3+ YOEMaster’s or higher in CS/AI/Automation; 3+ years in multi-modal AI or AI data platform; experience with on-vehicle data upload, cloud processing, training and simulation integration.
Principal Data & AI Engineer, Reporting and Insights
San Jose, California, United States
$249k-$349k/yrOnsiteFull Time
Expedia GroupNASDAQ: EXPE: Operates a global platform for travel bookings and services.
10+ YOE10+ years data/analytics experience; strong Python and SQL; 3+ years building LLM/AI applications; experience with enterprise AI platforms, data architecture, and executive reporting.
Python, SQL, LangChain, LlamaIndex, Azure OpenAI, AWS Bedrock, Google Vertex AI, Spark, Flink, Iceberg, Snowflake, Databricks, Delta Lake, Tableau, Looker
New York City or Stamford or Los Angeles or Chicago or Washington or Boston or Detroit or Florham Park or Dallas or San Francisco or San Jose or Philadelphia
$99k-$252k/yrOnsiteFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
4+ YOEBachelor's degree, minimum 4 years' experience, proven AI/ML and data engineering skills, leadership/people management, and client engagement experience; cloud and platform certifications preferred.
AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
6+ YOE6+ years in data platform engineering; strong Spark/Databricks; real-time streaming; Python/SQL; cloud (AWS/Azure); CI/CD; experience with agentic AI and ML feature stores.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
4+ YOEDegree in Computer Science or Information Systems; Master’s with 2 years data engineering experience; at least 4 years in relevant technologies; Python and Java programming; big data (Spark/Kafka); AI/Generative AI experience; containerization (Kubernetes, Airflow); cloud development.
LG ElectronicsKorea Exchange: 066570: Designs and manufactures consumer electronics and home appliances.
Bachelor's degree in CS/ME/EE with 5+ years (or Master's with 3+ years); strong software engineering in Python or C++; experience with robot learning, data pipelines, and robot systems.
Principal Data Automation Engineer/ Data Scientist, Supply Chain
Nashville or Santa Clara
$115k-$235k/yrOnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
7+ YOE7+ years in data engineering/analytics/AI with strong SQL and Python, ETL/ELT and data pipeline experience, BI/visualization skills, and ability to lead complex automation and analytics initiatives.
15+ YOEBachelor's degree or equivalent and 15 years software engineering experience; senior technical leadership, large-scale distributed systems, architectural design, and experience with agentic AI and large-scale data platforms.
Senior Software Engineer, AI Data Application – USDS
San Jose, California, United States
$187k-$438k/yrOnsiteFull Time
TikTok USDS Joint Venture: Operates and secures TikTok services for U.S. users.
5+ YOEBS/MS in CS or related field,5+ years software development experience in backend/platform engineering,proficiency in Python/Go/Java/C++,experience with LLM/RAG and building internal AI tooling preferred.
TeradataNew York Stock Exchange: TDC: Provides cloud data analytics and enterprise AI software platforms.
5+ YOE5+ years software engineering experience with NLP/ML, experience building LLM-powered agents, SQL and structured data experience, bachelor’s or master’s in CS/AI/ML/NLP (or related), and production-grade system and evaluation expertise.
Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX
Santa Clara, California, United States
$200k-$380k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
6+ YOEAdvanced degree or equivalent experience in engineering with 6+–12+ yrs experience in AI infrastructure, applied ML/GenAI; experience with agents, SQL/ETL/data modeling, cloud (AWS/Azure/GCP), Python and C++; strong communication.
Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX
Santa Clara, California, United States
$200k-$380k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
6+ YOEBSEE/MSEE/PhD with 12+/10+/6+ years experience in AI infrastructure, applied ML and Gen AI. Experience with SQL, ETL, data modeling, cloud (AWS/Azure/GCP), Python, C++, distributed systems, and mentoring.
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
10+ YOE10+ years relevant experience and a Bachelor’s degree (or equivalent); deep expertise in databases, data pipelines, messaging, caching, performance and resilience engineering; experience with real-time analytics and AI/ML infrastructure; strong technical leadership and mentoring.
15+ YOESenior AI software engineer with 15+ years in data science/engineering, expertise in ML/LLM/agentic systems, Salesforce, distributed systems, and cloud platforms.
San Francisco or New York City or San Jose or Seattle or Austin or Boston
$115k-$200k/yrHybridFull Time
Absentia Labs: AI-native toxicology platform accelerating drug safety and discovery.
5+ YOE5+ years ML industry experience, proven production-scale model training, expertise with LLMs/diffusion/GNNs, strong PyTorch skills, distributed training and data-pipeline experience, and solid software engineering practices.
Kai Cyber: Agentic AI platform for autonomous enterprise cybersecurity operations.
6+ YOE6+ years in cloud/security engineering; expert Azure security knowledge; Kubernetes security; IaC security; scripting; experience with AI/ML data security.