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The Senior Machine Learning Engineer will design, train, and deploy machine learning models, including large language models and RAG pipelines. The role involves establishing best practices, mentoring team members, and managing the full lifecycle of ML prototypes.
Develop AI/ML models for signal processing systems on-site in Columbia, MD, using C++ and related tools.
Develops and optimizes computer vision algorithms for SLAM and VIO systems, integrating multi-sensor data to improve localization in C++/Linux environments.
Leads ML research projects to improve RTB House’s deep-learning-powered ad-buying engine, designing and deploying models (e.g., deep neural networks) for user behavior prediction and auction bidding. Focuses on production impact, stakeholder collaboration, and mentoring.
Develops AI-driven quantitative investment strategies by generating alpha signals, refining data pipelines, and implementing deep learning/reinforcement learning models for financial markets. Focuses on NLP, LLMs, and ML-based trading/portfolio optimization.
Job Description AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new…
Hands-on Senior Computer Vision Engineer building and deploying CV/ML models (object detection, anomaly detection, classification) using Python, PyTorch/TensorFlow, and OpenCV into production and edge environments.
О компании и проекте Мы развиваем технологичный продукт на стыке AI, мобильных приложений и IoT . Создаем кроссплатформенное мобильное приложение для Android и iOS, которое помогает следить за безопасностью, состоянием…
Build and improve ML ranking models for Canva’s private search, using ElasticSearch and vector search to surface user content with high relevance and recall.
Develops and optimizes large-scale ML recommendation systems (multimodal, end-to-end) for ByteDance’s products (Douyin, Toutiao, Xigua) and external clients via Volcano Engine, focusing on PyTorch-based inference/training frameworks, hardware acceleration, and algorithm-engineering co-design.
ML System Engineer on ByteDance's Data AML team building large-scale multimodal recommendation systems—designing high-performance training/inference frameworks with PyTorch, distributed ML infrastructure, and hardware-software co-design for products like Douyin and Toutiao.
Design and operate CI/CD pipelines for AI/ML deployments in a regulated banking environment, using Docker, Kubernetes/OpenShift, Terraform, Ansible, Prometheus, and Grafana while deploying LLMs from Hugging Face.
Hands-on senior technical leadership role building scalable, production-grade AI/ML and automated decisioning systems for Candy Crush Saga, covering personalization, causal inference, and experimentation orchestration at massive player scale.
Designs and implements AI/ML compiler tools for embedded processors, optimizing models for hardware using C++ and LLVM to deliver high-performance inference across semiconductor platforms.
The Senior AI and Machine Learning Engineer will design, develop, and deploy scalable AI/ML models and agentic architectures while mentoring junior team members. The role involves collaborating with cross-functional teams to integrate advanced machine learning solutions into production environments using frameworks like PyTorch, TensorFlow, and LangGraph.
Senior AI/ML engineer at HPE responsible for designing, developing, and deploying machine learning and agentic AI solutions using Python, TensorFlow/PyTorch, and frameworks like langGraph within the HPE Operations IT services team.
This founding machine learning engineer role involves building and owning the end-to-end learning stack for a robotics startup focused on agricultural automation. The position requires shipping learned policies on real hardware using PyTorch, MuJoCo or Isaac, and advanced knowledge of kinematics and imitation learning.
The Staff ML Engineer will architect and scale the Gaia Emblem engine, focusing on LLM integration, RAG pipelines, and GPU-aware infrastructure. This role involves leading technical strategy, mentoring engineers, and building high-throughput distributed systems for AI-powered data security.
Integrate AI/ML models into products and services at Unisys, handling data processing, model retraining, and LLM-based production solutions using Python, Pandas, and standard ML algorithms.
The AI/ML Engineer will develop AI-powered security solutions and product features using LLMs, agentic frameworks, and machine learning techniques. The role involves designing intelligent components and staying current with state-of-the-art AI research to enhance cybersecurity products.
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