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Senior Python Developer (AI/ML) at OSC EdgeTech, driving development of Optica Security, a DISA APL-listed STIG compliance and CORA readiness platform. Day to day: building scalable Python security scanners for large government networks and integrating local and cloud AI/LLM models to automate cybersecurity content ingestion and workflows.
Lead MLOps engineer on JPMorgan Chase's Recommendation Engine team, building pipelines for distributed GPU-based model training, real-time and batch inference, LLM deployment, and monitoring to power personalized experiences across Chase banking channels. Stack: Python, Ray/DuckDB/Spark, AWS, Docker/Kubernetes, Airflow/Kubeflow.
We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack. As Lead Machine Learning Engineer on the Recommendation Engine team, you’ll build…
Do you want to help define the future of technology on AWS Generative AI as part of the Specialist Solutions Architect team in the Go-To-Market (GTM) Startup team? Are you passionate about AI infrastructure and helping…
CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products…
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play…
As a Forward Deployed Engineer II (FDE II) on the Custom Model and Optimization team, you embed directly with strategic customers to build, optimize, and run custom generative AI models in production alongside their…
We are now looking for a Deep Learning Performance Engineer Intern to join our team. Large language models are transforming how people interact with computing, while placing unprecedented demands on inference…
Job Details: Job Description: The Role and Impact Intel's Client AI Architecture team is seeking an Deep Learning Hardware Engineer to help shape future generations of Intel's Neural Processing Unit (NPU)…
Job Details: Job Description: About the Job Intel is seeking exceptional Computer Science, Electrical Engineering, Computer Engineering, and AI/ML students to join an AI Hardware Engineering internship focused on the…
Developer Advocate at Fireworks AI builds and promotes hands-on technical content (tutorials, demos, guides) to help developers deploy and fine-tune AI models in production. Combines engineering (coding, model deployment) with public technical communication (blogs, talks, community engagement) to shape Fireworks as the go-to platform for AI infrastructure.
Own the roadmap for WEKA’s Augmented Memory Grid, optimizing LLM inference performance by offloading KV-cache and integrating with engines like vLLM and NVIDIA Triton.
Staff ML Engineer at Kodiak Robotics deploying onboard machine learning models for the Kodiak Driver autonomous trucking stack — improving performance/latency via quantization, pruning, ONNX/TensorRT conversion, custom GPU kernels, and profiling, while collaborating with perception, planning, and infrastructure teams.
Onsite ML engineer in Springfield, VA designing, building, and maintaining ML systems (predictive models, recommendation engines, anomaly detection) using Python, Kubernetes, PyTorch/TensorFlow, and MLOps tooling for a national security contractor.
Principal-level engineer owning Zoox's end-to-end strategy for running AI onboard its robotaxi: architecting GPU scheduling, multi-tenancy, isolation, and deterministic latency, cutting per-vehicle compute, guiding GPU/SoC hardware choices, and leading inference performance (CUDA, TensorRT) across ML, autonomy, and hardware teams.
LiveX AI · AI Engineer (Machine Learning Engineer) Palo Alto, CA · Full-time, on-site · Department: Engineering Source: (posted May 27, 2026) About the Role LiveX AI is building realtime, interactive AI avatars:…
Software Engineer III on GHX's Developer Platform & AI Enablement team, building internal tooling, reusable CI/IaC modules, and an internal agent platform (MCP servers, local model routing) consumed by other GHX engineers. Core stack includes Python, AWS, Snowflake, Terraform, and GitHub Actions, with daily use of AI coding assistants.
AI21 Labs is hiring a Deep Learning Engineer to build and maintain its LLM training infrastructure, optimize training and serving performance, adapt models to new GPU hardware, and run training/evaluation experiments. Core stack: Python, PyTorch, distributed training frameworks (FSDP/Megatron/DeepSpeed), and inference systems like vLLM.