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Staff Machine Learning Engineer, ML Acceleration (Remote)
Lead a team to optimize and accelerate ML model training for autonomous vehicles, using PyTorch/JAX and distributed systems to cut development cycles and enable rapid hot-patching.
Applied AI Scientist/Researcher (Senior/Staff) - VC Backed Startups
Build and adapt AI models for early-stage startups, turning research into production systems and improving model performance, reasoning, and efficiency.
Principal AI/ML Engineer - VC Backed Startups
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Security Engineer, AI
Secure AI systems by assessing LLM and generative AI security risks, implementing controls for training/inference pipelines, and hardening ML infrastructure against prompt injection, model poisoning, and data exfiltration.
Member of Technical Staff (Software Engineer, GPU Cluster Infrastructure)
Build and operate a self-serve GPU compute platform for AI training and inference, unifying multi-cloud GPU fleets with Kubernetes operators and scheduling logic.
Amazon Software Development Engineer II, AWS SageMaker AI
Build and operate the distributed orchestration engine for AWS SageMaker’s Model Factory, enabling scalable foundation-model training and customization workflows across thousands of GPUs and Trainium devices.
Distinguished AI Engineer (Hybrid)
Lead AI/ML initiatives at Cisco, defining technical vision and roadmap for AI capabilities in security and observability products while guiding cross-functional teams from architecture to production deployment.
Senior Machine Learning Engineer, ML Infrastructure- Online
Build and scale Unity Vector’s online ML inference platform, optimizing model serving for low-latency, high-reliability production systems using PyTorch, Triton, Kubernetes, and Ray.
Senior AI Solution Architect
Design and deploy enterprise-grade AI systems—including LLMs, vision models, and robotics—from research to production, ensuring scalability, security, and alignment with business goals.
Senior AI Solution Architect
Design and deploy enterprise-grade AI systems—from LLMs and multimodal models to robotics and edge AI—guiding the full lifecycle from research to production while aligning with business goals and governance.
Principal AI/ML Research Engineer
Lead AI/ML research to build Payment Foundation Models and generative AI systems that transform commerce and payment data into predictive, fraud-detecting, and decision-making tools using Transformers, LLMs, and reinforcement learning.
Machine Learning Engineer, Infra, AI for Drug Discovery
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
Principal AI Architect
Principal AI Architect defines next-gen AI infrastructure architectures, including GPU clusters, inference platforms, and multi-cloud AI deployments, while guiding networking and automation strategies for enterprise-scale AI systems.
Machine Learning Engineer - Voice Conversion
Build and ship state-of-the-art voice conversion and speech models end-to-end, from data curation to production inference, using large-scale diffusion/flow-matching transformers and PyTorch.
AI/ML Engineering Manager
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Deep Learning Research Intern — Multimodal BEV Perception
Research and prototype multimodal BEV perception models for autonomous trucks, fusing camera, LiDAR, and radar inputs to improve 3D scene understanding.
Field Solutions Architect III, Generative AI, Google Public Sector
Design and prototype generative AI solutions for U.S. public-sector customers, leveraging Google Cloud’s AI stack and collaborating with product teams to shape offerings.
Senior ML Engineer — Matching / NLP
Senior ML engineer builds and deploys end-to-end matching and NLP models (BERT fine-tuning, retrieval, ranking) to directly lift business KPIs like revenue and conversion.
Data Scientist
Build and fine-tune LLMs/SLMs on GPU clusters, from data prep to deployment, and explain the full training pipeline to stakeholders.
ML Engineer, Infrastructure
Build and scale multi-cluster GPU infrastructure for training tabular foundation models, optimizing cost and throughput while owning Slurm clusters, scheduling, and distributed training performance.