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Research intern builds and optimizes AI/ML systems for quantitative finance, working with PyTorch/JAX and CUDA on HPC clusters to push low-latency trading models from concept to production.
Builds software platforms for robotic motion AI simulation and ML, translating research requirements into scalable systems for synthetic data generation, experiment pipelines, and GPU-enabled environments.
Works on the Border Wait Time project, preparing traffic congestion datasets, developing ML models to predict traffic volumes, and deploying solutions with Google Vertex AI. Core technologies include Python, TensorFlow/PyTorch/scikit-learn, and Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage).
This is a remote position. At Everyday People Inc. , we don’t do mass offshore recruiting. We build elite recruiting teams who partner directly with clients shaping the future. Including everything from autonomous…
Build and optimize cutting-edge generative AI models for image generation and multimodal applications using AMD’s GPUs, collaborating with researchers and engineers to push visual computing boundaries.
Lead the design and deployment of AI/ML systems for cybersecurity, focusing on LLMs, RAG pipelines, and anomaly detection to analyze security telemetry and logs.
The AI & Machine Learning Engineer designs, builds, and optimizes data workflows and models for AI and GenAI solutions on AWS. The role involves maintaining production systems, collaborating with data scientists, and managing cloud-based data pipelines.
Build and enhance the machine learning platform backend services to manage model lifecycles and perform NLP analysis using Python, Java, Kubernetes, and cloud technologies.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
Lead a team to design and deploy machine-learning models that extract features from sensors and enable autonomous vehicles to localize precisely in real time across diverse roads.
Builds real-time search and RAG (Retrieval-Augmented Generation) systems for Siri and Apple’s search products, focusing on query understanding, document retrieval, ranking, and ML model integration to deliver instant user experiences like weather, flights, sports, and stock data.
Leads enterprise AI architecture, designing and deploying scalable ML models (TensorFlow/PyTorch) and data pipelines to transform business operations and enable predictive insights.
Overview The Core Recommendation Ranking team in Microsoft AI Copilot Discover Engineering Org is looking for a Principal Applied Science Manager who wants to build the next generation of recommendations using advanced…
Build and deploy ML models to detect account-sharing fraud in real time for a global anime streaming platform, using anomaly detection and cloud-based MLOps pipelines.
Build and optimize diagnostics software to validate AMD’s security hardware IP across CPUs, GPUs, and accelerators, using C/C++ and AI-driven tools to root-cause issues from pre-silicon to production.
Designs and deploys AI/ML models and backend services in Python, collaborating with teams to integrate AI into scalable business solutions and analyze AI market trends.
Senior ML Engineer in Bogotá building and optimizing models for enterprise use cases, maintaining robust data pipelines, and mentoring junior team members.
Lead AI and Data Science teams, design analytical strategies, and implement advanced GenAI solutions using Python, MLOps, deep learning frameworks (TensorFlow/PyTorch), LangChain, and cloud platforms (AWS/GCP/Azure) in a Madrid-based Center of Excellence.
Build and deploy ML models end-to-end in healthcare, from EDA to production on GCP, using Python, LLMs/GenAI, and MLOps pipelines.
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