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Member of Technical Staff - ML Infrastructure Engineer, Post-training
Build and scale the compute, scheduling, and data infrastructure that powers post-training research on in-house reinforcement learning environments for large language models.

Member of Technical Staff - Research & Post-training
Research engineer building and optimizing RL training environments and post-training pipelines for large language models, using PyTorch/JAX and modern RL frameworks.

Member of Technical Staff - Machine Learning Capabilities
Build reinforcement learning environments and reward functions to train frontier AI models on real-world ML tasks, blending research and engineering with Python, PyTorch/JAX, and LLM infrastructure.
Senior AI Infrastructure Software Engineer - DGX Cloud
Senior engineer building and optimizing NVIDIA’s DGX Cloud AI platform for large-scale training, inference, and Agentic AI, using Kubernetes, Go, Python, and GPU-accelerated stacks.
Machine Learning Engineer - Health AIML
Build and deploy ML models for Apple’s Health AI team, focusing on deep learning and generative AI to improve health-related products for millions of users.
AI/ML Specialist Solutions Architect
Design and deploy scalable AI/ML solutions for customers, advising on distributed training and production-scale deployments while bridging technical and business needs.
Machine Learning Scientist, Pretraining
Research and develop large-scale deep learning models for biomolecular design, focusing on pretraining techniques in protein engineering using PyTorch or JAX.
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.
Senior Engineering Manager - Machine Learning
Leads a team of ML engineers and data scientists to design, deploy, and maintain machine learning systems for sports betting and gaming platforms using Python, TensorFlow/PyTorch, and AWS.
Head of AI/ML (Director/VP) - VC Backed Startups
Lead AI/ML strategy and teams at early-stage startups, defining product roadmaps and deploying generative AI systems using Python, PyTorch, and cloud MLOps stacks.
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.
Founding AI Engineer (Senior/Staff) - VC Backed Startups
Build and deploy AI models from scratch for early-stage startups, leading RAG pipelines, agent architectures, and LLM-powered systems in Python with PyTorch/TensorFlow.
Senior Scientist, Antibody Developability/Biophysics & Portfolio Support, AI for Drug Discovery (AIDD)
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more…
LLM Research Engineer
Designs, trains, and fine-tunes large language models (e.g., GPT, LLaMA) using PyTorch/TensorFlow and deploys them via MLOps pipelines for real-time applications.
Quality System Manager - Remote
This position will direct efforts to harmonize practices across all JAX locations, both domestic and international where applicable, drive organizational change and implement quality improvements. This position will…
Machine Learning Senior Software Engineer
Build and maintain AI model validation, optimization, and safety systems at scale, including quantization, security scanning, and guardrails for production deployment.
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.