HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
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.
Alpha Design AI: AI-native EDA platform for semiconductor design and verification.
Experience with large-scale ML systems and GPU computing; strong Python and C++/CUDA skills; familiarity with vLLM, PyTorch, SGLang, Ray; experience deploying and optimizing LLMs, profiling and benchmarking inference.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years experience in data engineering and ML for observability; experience with Lakehouse architectures, streaming pipelines, dbt, ML model development, and incident integration.
Delta Lake, Apache Iceberg, Open Telemetry (OTel), Kafka, dbt, Flink, Spark Streaming, DRAIN3, LogBERT, REST, gRPC, PagerDuty, Opsgenie, AWS
Toyon Research: Develops advanced technology and analysis for national defense systems.
2+ YOEU.S. citizenship and ability to obtain DoD clearance, advanced degree or BSc+2 years in engineering/computer science/physics/math, experience with Python or C++, and knowledge of AI/ML techniques.
Northrop GrummanNYSE: NOC: Develops and manufactures advanced aerospace, defense, and space systems.
2+ YOEBachelor's in STEM or equivalent experience (2+ yrs for Level 2, 5+ yrs for Level 3). Knowledge of Teamcenter (TcUA), SAP/Costpoint ERP, MES/PLM, Microsoft Project/Excel/PowerPoint; ability to obtain U.S. SECRET clearance; Python/SQL and AI/ML experience preferred.
Teamcenter Unified Architecture (TcUA), Teamcenter Easy, SAP S4, Costpoint, PLM, MES, ERP, Microsoft Project, Microsoft Excel, Microsoft PowerPoint, Process Simulate, Augmented Reality (AR), Python, SQL, AI, ML
AmgenNASDAQ: AMGN: Develops and manufactures biotechnology medicines for serious diseases.
2+ YOEDeep expertise in ML/Generative AI, MLOps/LLMOps, cloud platforms, and scalable system architecture; proven track record delivering production-grade ML systems; advanced proficiency in Python and modern ML frameworks; degree + experience combinations required.
Machina Labs: Software-defined robotic platforms for flexible sheet metal manufacturing.
3+ YOEMaster’s or PhD in CS/ML/AI with 3-6+ years of ML experience; Python; Azure; Databricks/Spark; data wrangling; end-to-end ML; manufacturing context.
Harbor Freight Tools: Retailer of discount tools and power equipment.
2+ YOEBachelor's in CS/math/statistics/engineering, 2+ years ML engineering or data science experience in Big Data, experience with cloud (AWS/GCP/Azure), Python, SQL, PySpark, MLOps and CI/CD for model deployment and monitoring.
WiproNYSE: WIT: Global technology services and consulting for digital transformation.
5+ YOE5+ years experience building GenAI/LLM solutions with Python, Azure cloud, vector embeddings, prompt engineering, Agentic A2A/MCP frameworks, and experience with Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg; healthcare domain and regulatory knowledge preferred.
Python, Java, Go, Microsoft Azure, Microsoft Azure AI Search, Redis, Microsoft Cosmos DB, Microsoft Blob Storage, Iceberg, Microsoft Azure Functions, Microsoft Azure Container Apps, Agentic Layer A2A, MCP Protocol
Oakland or Long Beach or El Dorado Hills or Rancho Cordova or San Diego or Woodland Hills or California
$168k-$252k/yrHybridFull Time
Ascendiun: Nonprofit parent overseeing health insurance and clinical service organizations.
10+ YOEBachelor's or equivalent, 10+ years relevant experience (2+ years in Application Security), strong knowledge of OWASP Top Ten and STRIDE, Agile, regulatory certifications (HIPAA, SOC2, PCI-DSS, FedRAMP), AI/ML experience desired.
Senior Data Reliability Engineer - Central Technology
Vancouver or Sherman Oaks
$92k-$194k/yrOnsiteFull Time
MicrosoftNASDAQ: MSFT: Develops computer software, consumer electronics, and video games.
10+ YOE10+ years programming; Python with Go familiarity; SQL, Spark, Airflow; observability tooling; GitHub Actions; Linux; Kubernetes/ArgoCD; data pipelines and ML data experience.
Farmers InsuranceSIX Swiss Exchange: ZURN: Provides insurance for vehicles, homes, and businesses.
7+ YOE7+ years Android development with Kotlin, Jetpack Compose, Android Jetpack, coroutines/Flow; experience with DI (Hilt/Dagger), testing, CI/CD, REST/GraphQL, on-device/cloud ML and AI; bachelor's degree preferred.
MiniMed GroupNasdaq: MMED: A full‑stack insulin delivery focused on improving daily life for people living with diabetes through connected systems of care.
4+ YOEBachelors with 4+ yrs (or advanced degree with 2+ yrs) data science experience, manufacturing/supply chain experience preferred; Python, SQL, cloud, ML, statistics, and regulated‑industry familiarity.
AstraZenecaLondon Stock Exchange: AZN: Researches and develops medicines to treat major diseases globally.
7+ YOEBachelor's in CS/Engineering/Info Systems/Supply Chain required; 7+ years product management experience for digital platforms; experience with API integration (REST/GraphQL), cloud (AWS/Azure/GCP), event streaming, workflow engines, AI/ML, Agile, and data literacy.
Agilent TechnologiesNew York Stock Exchange: A: Providing instruments, software, and consumables for laboratory scientific discovery.
8+ YOE8+ years regulatory affairs in IVDs or medical devices; digital pathology or software-based diagnostics experience; bachelor’s in science or engineering; knowledge of SaMD and AI/ML regulatory frameworks; experience with FDA and EU IVDR/MDR.
AstraZenecaLondon Stock Exchange: AZN: Global biopharmaceutical developing and manufacturing prescription medicines.
7+ YOEBachelor's degree in CS/Engineering/Info Systems/Supply Chain required; 7+ years product management for digital platforms; experience with API integrations, event streaming, cloud platforms, AI/ML application, Agile delivery, data models, security and regulatory/GxP considerations.