Tech jobs
Job listings
Senior Principal AI Engineer (Remote)
Build and optimize distributed training systems for large neural networks (LLMs, diffusion, SSMs) across GPU clusters, focusing on throughput, stability, and fault tolerance using PyTorch, Megatron-LM, and DeepSpeed.
Staff Applied Scientist, UI Control Models
Staff Applied Scientist at Apple builds and optimizes compact LLMs for Siri’s UI control, tool calling, and conversational features, focusing on mobile hardware constraints and post-training techniques.
Senior Machine Learning Engineer
Build and improve AI systems that power clinical products, including LLMs and agentic workflows, with end-to-end ownership of evaluation, deployment, and production debugging.
Data Scientist — AI & Analytics (Remote)
Design and build ML models, analyze large datasets, and turn insights into business decisions using Python/R, SQL, and TensorFlow/PyTorch.
Data Scientist – End-to-End ML for Insurance Ops
Build and deploy predictive models for insurance operations using Python, SQL, and ML frameworks like TensorFlow and XGBoost.
Computer Vision Engineer
Build AI-powered computer vision systems for drones to navigate without GPS, training neural networks for real-time obstacle detection and terrain recognition on embedded hardware.
AI/ML Network Engineer
Design and optimize 5G network components using AI/ML models, focusing on RAN, Core, Transport, and Edge within the O-RAN and 3GPP ecosystems.
Senior Software Engineer, Chem-Bio
Build and maintain the shared platform and tooling for a government team researching AI risks in chemical-biological science, using Python, cloud infrastructure, and LLM-based agent systems.
Senior Data Scientist II, Marketing
Build and own ML models for marketing at a BNPL fintech, including customer intent modeling, next-best-action frameworks, and marketing mix modeling to drive customer acquisition and budget allocation.
Data Scientist (All Levels)
Build and deploy AI/ML models (LLMs, GenAI, NLP) for HR tech, focusing on talent acquisition features in a hybrid Dublin role.
Data Scientist (Face Biometrics)
Build and improve face biometric authentication and anti-fraud models using deep learning and computer vision in Python/C++.
Staff Engineer, Embedded AI Software Engineer
Build and optimize AI deployment tools for embedded systems, enabling efficient neural network execution on constrained hardware like DSPs and NPUs for healthcare-focused SoCs.
Lead Machine Learning Engineer
Lead the design and deployment of AI/ML models for document understanding, using NLP and computer vision to automate and personalize contract processing on the DocuSign platform.
Senior AI/ML Engineer
Build and deploy ML models to detect and govern AI agents in enterprise Kubernetes environments, using LLMs and anomaly detection on runtime telemetry to power Tigera’s security product.
Lead Machine Learning Engineer
Lead the design and deployment of AI/ML models for document understanding, using NLP and computer vision to automate contract analysis and improve customer experiences on Docusign’s platform.
Staff Machine Learning Engineer
Build and deploy edge AI models for in-vehicle health monitoring, processing logs and sensor data to predict failures in real time on resource-constrained devices.
Machine Learning Engineer
Build and deploy NLP/ML models to automate contract analysis and improve agreement workflows using Python, PyTorch, and TensorFlow.
Hybrid Data Scientist - AI/ML for Talent Cloud
Build and deploy AI/ML models (LLMs, GenAI, NLP) for a talent-cloud platform, collaborating with engineers and product teams to power HR tech features.
Software Engineer III - IoT
Build and scale secure IoT software solutions, integrating cloud and edge computing for smart buildings and real estate, using Java/Python and AI/ML frameworks.