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Staff Software Engineer - GenAI Performance and Kernel
Designs and optimizes low-level GPU kernels for AI inference, focusing on performance, correctness, and hardware efficiency while mentoring engineers and collaborating with ML teams.
Sr. Machine Learning Engineer - Machine Learning
The Role Sr. Machine Learning Engineer . A research-minded machine learning engineer who thrives at the intersection of cutting-edge AI, scientific research, and rigorous engineering. This role is for someone excited…
Software Engineer - Training/Inference (C++)
Builds and optimizes high-performance AI inference systems in C++ to serve millions of users with low latency and high reliability, using GPU engines like vLLM and Triton.
Senior Backend Engineer, Vision
Own the end-to-end architecture of a production serving harness for in-house vision-language models (OCR and structured extraction), optimizing accuracy, latency, and cost at national scale using Go, Python, Temporal, Kubernetes, and PostgreSQL.
Backend Engineer - Vision
Backend engineer building and owning services in a document intelligence harness that wraps in-house vision-language models for OCR and structured extraction, using Go, Python, Temporal, Kubernetes, PostgreSQL, and Redis.
Principal AI Engineer - Platform & Inference
A hands-on Principal AI Engineer providing senior technical leadership across AI platform architecture, inference, deployment and production engineering for real-world mining operations.
DL Performance Software Engineer - LLM Inference
Develops high-performance AI inference systems for large-scale models, optimizing GPU kernels and implementing software like vLLM using technologies such as CUDA, PyTorch, and Triton.
Senior Machine Learning Infrastructure Engineer (Precision, Diagnostics & Hardware)
About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most…
Internship - Machine Learning Engineer
Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With dozens…
Quant Data Engineer
Our client is a globally recognised investment management firm where technology, data and quantitative research are fundamental to generating investment performance. As they continue to invest heavily in their…
Machine Learning (ML) Engineer (Senior) - Arbisoft
Our client Arbisoft is looking for Senior ML Engineer in Lahore. Job Description: Arbisoft is looking for an experienced ML Engineer to design and deploy cutting-edge AI solutions, including LLMs, RAG pipelines, and…
Full-Stack ML Systems Engineer
About Us We are an elite, research-backed AI infrastructure startup building the defining workflow intelligence and policy management layer for enterprise multi-agent applications. While the market has flooded with…
AI Engineer
AI Engineer Location: Washington, DC, McLean, VA Time Type: Full time Job Description AI Engineer The Opportunity: As an AI engineer, you’ll design and deliver production-grade AI systems. You’ll own RAG pipelines,…
Expert ML Software Engineer
What Impact You'll Have We are searching for a machine learning (ML) engineer in support of our customer in Springfield, VA. This ML Engineering role is onsite and combines software engineering and machine learning…
Software Engineer 3
Develops and maintains core database infrastructure and tools for MongoDB’s distributed database systems, focusing on scalability, performance, and reliability in a high-growth tech company.
ML Infrastructure Engineer
About the Role We're a seed-stage enterprise AI infrastructure company building the context layer that makes AI agents reliable, accurate, and secure for critical business operations — including highly regulated…
Senior Research Engineer, LLM Training & Post-Training
Build and optimize PyTorch-based training and post-training pipelines for large language models, improving model quality and training efficiency while collaborating with research and infrastructure teams.
Research Engineer, AI/ML Systems
Research Engineer at Lightning AI to optimize AI training and inference workloads on PyTorch Lightning infrastructure, improving performance and scalability for production systems.