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Machine Learning Engineer, VLA & RL - Senior
Build vision-language-action and reinforcement learning models for real-world robotic systems, training policies that generalize across hardware and deployments.
Senior. AI Engineer – LLM Research Engineer
Build and optimize large language models for insurance workflows, focusing on post-training, evaluation, and inference performance to improve underwriting and claims processing.
ML Software Engineer, Safety and Customer Care AI
Build and fine-tune LLMs and agentic AI systems that power Lyft’s safety and customer-care workflows, using post-training, agent frameworks, and evaluation pipelines to handle millions of interactions.
DL Performance Software Engineer - LLM Inference
Build and optimize high-performance LLM inference systems using CUDA, vLLM, and GPU kernels to maximize serving efficiency for large-scale AI models.
Generative AI Engineer
Build and deploy next-gen translation engines using LLMs and GenAI, optimizing models for high-stakes legal/financial content while collaborating with ML and DevOps teams.
Principal AI/ML Applied Scientist
Principal AI/ML Applied Scientist defines enterprise AI solutions, invents new models, and translates research into production systems to drive measurable business impact across retail domains.
Engineering Manager, Agentic AI
About Kindsight Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest…
Senior Machine Learning Developer - Commerce AI
Build and maintain scalable ML systems for enterprise commerce clients, focusing on reliability, low-latency inference, and MLOps best practices using Python, PyTorch, AWS, and Kubernetes.
Senior AI Engineer
Build and deploy production-grade ML systems using PyTorch/TensorFlow, LangGraph/LangChain, and GCP for a retail-focused AI product team.
Lead Data Scientist
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Senior Graph AI Research Engineer
Lead the design and scaling of graph-based and transformer AI models, building production ML pipelines and optimizing distributed training/inference systems for structured-data intelligence.
Data Science & AI Delivery Lead
Lead AI delivery at an insurance firm: oversee GenAI/RAG projects, Python-based ML development, MLOps, and team operations while driving production deployments on Azure.
AI/ML Research Engineer – Antibody Discovery & Generation
Build and optimize AI/ML models for antibody discovery using protein sequence data and generative AI in Python.
AI Engineer-Banking
Build and deploy AI/ML systems for a banking client, including LLM pipelines, model fine-tuning, and MLOps tooling to automate decisions and enhance financial processes.
Principal Machine Learning Engineer
Leads ML architecture for digital pathology, designing scalable systems in Python/C++ and deploying models on cloud platforms to optimize medical imaging algorithms.
Enterprise AI Engineer
Build and deploy AI solutions (ML, generative AI, agentic workflows) in Python, integrating with enterprise systems to solve business problems and move prototypes to production.
Senior Staff Machine Learning Engineer, (ML Underwriting)
Lead Affirm’s ML underwriting systems, designing and scaling advanced models (e.g., Transformers, XGBoost) with PyTorch and Spark to drive transparent credit decisions and mentor senior engineers.
Principal AI/ML Architect
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Senior Data Scientist
Senior Data Scientist builds and deploys ML/AI models (including generative AI, RAG, and graph analytics) on Azure to detect fraud, optimize costs, and drive business insights for a large insurer.
Associate Software Developer-Machine Learning
Build and maintain open-source ML tools and libraries, collaborating with researchers to package cutting-edge models into reusable software components and scalable data pipelines.