Franklin TempletonNYSE: BEN: Global investment firm providing asset and wealth management services.
5+ YOE5+ years software engineering experience including 2+ years deploying LLM/GenAI or agent-based systems; expert Python; experience with LangChain/OpenAI tool calling, vector DBs (Pinecone, FAISS), RAG, observability, and distributed services.
CorsairNASDAQ: CRSR: Sells high-performance gaming peripherals and PC hardware components.
6+ YOE1+ Mgmt6+ years in AI/ML engineering with 1+ years technical lead experience; strong Python and SQL; experience with LLM frameworks, workflow orchestration, data engineering, and MLOps; ability to architect agentic AI systems and lead engineers.
BlackLineNASDAQ: BL: Provides cloud-based financial close and accounting automation software.
2+ YOE2+ years in Python/Java/Scala, experience building PySpark ETL, ML/LLM production pipelines, cloud (GCP/AWS/Azure), ML frameworks, orchestration, containerization, and observability.
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
PhD in CS/EE or related with strong ML research background, expertise in LLMs and reinforcement learning, proficiency in PyTorch and Python, GPU/system optimization experience, strong publication record and mentoring ability.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
PhD in CS/EE or related, extensive LLM and RL research experience, strong Python and PyTorch skills, experience with GPU acceleration and model optimization, publishing and prototyping background.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOE7+ years ML engineering experience (10+ for principal), strong ML/deep learning background, experience with LLMs and production model hosting, cloud experience (AWS/GCP), leadership/mentoring experience, Bachelor's in CS/engineering/physics/math required (advanced degrees preferred).
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
0+ YOEDesign and develop ML/DL algorithms; prototype image processing; deploy ML models; strong ML/vision background; TensorFlow or PyTorch experience; clear communication and collaboration.
Full Stack Engineer - ACTIVE SECURITY CLEARANCE REQUIRED
Livermore, California, United States
$146k-$186k/yrHybridFull Time
Lawrence Livermore National Laboratory: Develops science and technology for United States national security.
Active DOE Q-level or Top Secret clearance required, bachelor’s in computer/engineering or equivalent, experience with relational databases, web architecture, ML for text/image, and SDLC tools; strong communication and ownership skills.
Hewlett Packard EnterpriseNYSE: HPE: Provides global edge-to-cloud technology solutions and IT infrastructure services.
PhD in CS/EE or related, extensive research in LLMs and reinforcement learning, strong Python and PyTorch skills, experience with GPU acceleration and ML model optimization, publication and prototyping track record.
Santa Clara or Milpitas or Mountain View or East Foothills or Los Altos or Stanford
$176k-$293k/yrHybridFull Time
BMC Software: Provides enterprise software for IT management and automation.
8+ YOE8+ years building and operating production-grade software with recent depth in AI/ML; proven experience shipping agentic AI systems, evaluation/experimentation frameworks, RAG/retrieval, and cloud-native tooling (Git, Docker, Kubernetes, CI/CD, AWS/Azure/GCP).
LangGraph, Google ADK, Git, Docker, Kubernetes, CI/CD, AWS, Azure, GCP
UnitX: Builds AI-powered robotics for automated visual inspection in manufacturing.
3+ YOEBachelor's in CS/Math/Statistics (or equivalent), 3+ years related experience, 3+ years hands-on deep learning, ML pipelines, sensor fusion, computer vision, real-time inference optimization, and strong communication skills.
Articul8: Builds and deploys secure generative AI platforms for enterprises.
BS/MS/PhD in computer science or related, proficiency with deep learning frameworks (e.g., PyTorch), Python, experience with ML for text/vision, strong distributed systems and large-scale data pipeline expertise (Ray, Docker, Kubernetes).
Workday: A provider of enterprise cloud applications and platforms for managing finance and human resources.
5+ YOEBachelor's in CS or related and 5+ years experience; strong Java/Scala and Python; experience with ML/NLP, deep learning, data lake, AWS, S3, Spark, Kafka and ML workflow orchestration.
Blackhawk Network: Provider of global branded payment and gift card solutions.
8+ YOE8+ years data/systems engineering experience (3–5 years with ML preferred), bachelor’s in CS/Math, proficiency with Glean, Claude, Microsoft Copilot Enterprise, strong system design, NLP and production AI deployment experience, executive communication skills.
8+ YOE8+ years data/systems engineering (3-5 years with ML/AI), bachelor\u0002s in related field, hands-on experience building and deploying production AI systems, proficiency with Glean, Claude, Co-pilot Enterprise, strong NLP and system design skills, executive communication.
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
12+ YOEBachelor’s or Master’s in related field with 12+ or 10+ years experience; proficient in C, C++, Python; Linux driver/dev; hardware bring-up; AI/ML a plus.
Pune or Milpitas or Seattle or Princeton or Cape Town or London or Zurich or Singapore or Mexico City or India
RemoteFull Time
ZensarNational Stock Exchange of India: ZENSARTECH: Global technology firm providing digital transformation and infrastructure services.
10+ YOE10+ years in software engineering and cloud architecture; strong GCP and Python experience; 5+ years ML/AI and Python development; 2+ years building Generative AI; Docker, Kubernetes, MLOps familiarity.
Google Cloud Platform (GCP), Python, Docker, Kubernetes, MLOps, CI/CD, LLMs
Ridgeline: Cloud-native platform for investment management operations.
10+ YOE10+ years in product management; 7+ years owning platform, API, or developer products; experience defining and shipping integration platforms and developer ecosystems; strong commercial instincts; ability to align multiple engineering teams and stakeholders; familiarity with AI/ML product patterns; knowledge of financial services a plus.
API platform, Data contracts, Integrator framework, AI interoperability