4,652 ML Research & Training jobs
Open roles training and researching machine-learning models.
Machine Learning Engineer - Time Series Forecasting
About the Role : We are looking for a Machine Learning Engineer (3 - 5 years experience) with strong expertise in time-series modeling, MLOps, Python, and SQL to build and deploy industrial AI solutions for refinery…
数据技术及产品部-AI数据工程师-LLM/VL方向
1、参与集团级 AI 数据引擎：负责文本、图像、视频、音频等全模态数据的采集、清洗、处理、治理与资产化管理，打造可复用、可观测、可解释的 EB 级数据体系，支撑大模型预训练与后训练的高质量数据供给； 2、多模态数据智能化处理：主导文本、图文、视频、文档、语音等模态的自动理解、标签体系构建、语义特征抽取、质量建模与自动化治理； 设计并训练分类、识别、caption、质量打分、预测等模型； 3、AI Native 数据 Pipeline…
CUDA / AI Engineer
An engineer/researcher role focused on optimizing LLM inference on modern GPUs: developing and tuning CUDA kernels, analyzing GPU memory and execution bottlenecks, and benchmarking latency and throughput with frameworks like vLLM, SGLang, and TensorRT-LLM. Deep CUDA/GPU programming and low-level performance debugging skills are central to the day-to-day work.
AI Engineer Scrum Master
We're building a self-service LoRA / full fine-tuning platform for LLMs, deployed on AKS. This role owns the training pipeline and data pipeline turning raw datasets into validated training inputs and running LoRA/full…
Staff Engineer - Machine Learning
Job Summary As a Staff Machine Learning Engineer, you will serve as the critical architectural bridge between cutting-edge Data Science research and massive-scale, product-ready implementation. You will move beyond…
HIH - Machine Learning Sr Analyst
Machine Learning Senior Analyst - HIH - Evernorth Position Overview As a Machine Learning Engineer, you will leverage your expertise in PySpark and MLlib to design and optimize scalable machine learning workflows on…
Senior Software Engineer, Machine Learning, Discover Interest Modeling
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive…
Machine Learning (ML) Operations Engineer
ML Operations Engineer at EastWest Bank's Enterprise Data team in Taguig (hybrid): deploys, monitors, and automates production ML models and data pipelines using Databricks, MLflow, GitLab CI/CD, Docker, and Kubernetes, ensuring reliability of production ML systems.
Graduate Software Engineer - AI & Machine Learning
Graduate software engineer joining an AI/ML solutions firm via recruiter Placements24, fully remote but listed in Rustenburg, South Africa. Day to day: design and implement AI/ML models, build ML pipelines and APIs for AI services, and test and optimize software, mainly in Python with frameworks like TensorFlow, PyTorch, or scikit-learn.
Machine Learning Engineer AI/ML, GCP & MLOps
Role & responsibilities Machine Learning Engineer AI/ML, GCP & MLOps Design, train, validate, and deploy machine learning models for data-quality anomaly detection, attribution, and signal generation. Develop and…
Senior Algorithm/AI Engineer
Summary of Responsibilities The Senior Algorithm/AI Engineer is responsible for designing, developing, and optimizing advanced algorithms and AI models to solve complex business challenges. This role drives technical…
Computer Vision Engineer
Develops computer vision and machine learning algorithms end to end that turn imagery and multi-sensor data into scene understanding and accurate real-world 2D-to-3D mapping outputs (reconstruction, localization, depth, registration). Core stack: Python with NumPy, SciPy, OpenCV, and PyTorch, plus modern deep learning architectures.
无人车业务部-自动驾驶决策规划算法工程师（Machine Learning Planner方向）
Autonomous driving decision-planning algorithm engineer in Meituan's unmanned vehicle unit: develops data-driven deep learning/reinforcement learning planners for complex urban driving, builds data closed-loop pipelines (mining, labeling, closed-loop simulation), and deploys lightweight models in C++ on vehicle compute platforms.
Senior Machine Learning Engineer (Customer/Marketing)
Senior Machine Learning Engineer on ASOS's Customer & Martech team, building and operating production ML systems for customer growth, marketing effectiveness, pricing and personalisation at e-commerce scale. Day-to-day covers the full ML lifecycle in Python, Spark, PyTorch/TensorFlow/XGBoost and cloud, with strong MLOps practices.
Machine Learning Engineer
Build and deploy transformer-based NLP models that auto-code medical claims with sub-second latency, fine-tuning LLMs on clinical notes and claims for revenue cycle management.
ML Engineer (Kandinsky)
О команде Kandinsky разрабатывает собственные генеративные модели для изображений и видео. Сейчас мы собираем небольшую продуктовую команду, которая превращает эти технологии в пользовательские приложения. Работаем в…
Machine Learning Expert
Role Overview : The selected candidate will be responsible for designing realistic, long-horizon Machine Learning engineering tasks to train and evaluate advanced AI models. The tasks will be developed using real…