4,644 ML Research & Training jobs
Open roles training and researching machine-learning models.
(新竹)Senior AI Algorithm Engineer 資深 AI 演算法工程師
(此職務工作地點在新竹市) 你將加入我們的核心演算法研發團隊,協助處理大規模數位孿生場域中的結構建模、路徑規劃與優化策略等問題。這些任務通常涉及從 3D 環境資料中建構抽象模型、分析多點供需連結、並轉化為高效可擴展的演算法流程。 你將負責設計與優化各類演算法,解決包含障礙避讓、轉彎限制、資源分配等複雜條件下的排程與路徑問題,讓實體邏輯能被有效自動化並整合進我們的推理與生成流程。 ▌日常職責(取決於實際具體項目):…
Machine Learning Engineer
Machine Learning Engineer on PitchBook's AI & ML (Insights) team, building and deploying end-to-end NLP/GenAI models (summarization, semantic search, classification) that extract insights from PitchBook's financial data. Stack centers on Python, SQL, transformers/LLMs, LangChain, Kafka, Airflow, Snowflake, and Docker/Kubernetes.
Sr. Machine Learning Engineer
Senior ML Engineer on PitchBook's AI & ML (Insights) team, building and deploying NLP, GenAI, and LLM-powered features that extract insights from PitchBook's structured and unstructured financial data. Day to day: end-to-end model design, training, deployment, and maintenance using Python, transformers, LLMs, and scalable data pipelines (Kafka, Airflow, Snowflake), onsite in Seattle 5 days/week.
AI Research Engineer, Inference
Build and optimize inference systems for AI models powering trading decisions, focusing on GPU kernels, FPGAs/ASICs, and data streaming to maximize performance in a high-impact, research-driven environment.
AI Research Engineer, Pre-Training
Build and optimize large-scale AI model training systems (kernels, data loading, parallelism) for HRT’s trading-focused foundation models, working closely with researchers to improve performance and impact.
AI/ML Engineer
Woolpert is hiring a Cloud AI/ML Delivery Engineer on its CSIS team for client-facing project delivery: discovery, solution design, hands-on build, testing, and user training for AI/ML solutions on Google Cloud Platform (Gemini Enterprise, Vertex AI, BigQuery, TensorFlow). Hybrid role based from a US office; 8+ years consulting experience required.
AI/ML Developer
Entry-level AI/ML Developer in Maharashtra (Mumbai, Navi Mumbai, Thane) who collaborates with a data science team to build and optimize machine learning models and algorithms, using Python with PyTorch, TensorFlow, Pandas, and NumPy. Suited to recent graduates or those with up to one year of AI/ML experience.
Staff Deep Learning Compiler Engineer
Senior engineer designing and optimizing Quadric's deep learning compiler stack (MLIR, TVM, LLVM) that lowers PyTorch/TensorFlow/ONNX models onto its GPNPU edge-AI processor — graph optimizations, quantization, kernel codegen, benchmarking, and hardware-software co-design with the architecture team.
AI Engineer
AI Engineer at Ford in Dearborn, MI (on-site 4 days/week) building analytical, machine learning, and AI solutions to improve customer experience, revenue, and efficiency. Works the full ML lifecycle — preprocessing, feature engineering, training, evaluation, deployment — using Python (TensorFlow, PyTorch, scikit-learn), GenAI, and cloud/AI platforms.
AI Engineer, Time-Series Signal Processing
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
Engenheiro de Machine Learning
Machine Learning Engineer working on-site in Curitiba for LUZA Group, building ML solutions for Grupo Senff: developing, training, and deploying predictive models, data pipelines, and MLOps practices (versioning, monitoring, retraining) using Python, Scikit-learn/Pandas/NumPy, SQL, Docker, Git/CI-CD, and REST APIs.
Lead Research Scientist - Machine Learning
Lead a team to design and implement advanced AI/ML algorithms for national security applications, focusing on signals exploitation and predictive analytics using deep learning and statistical methods.

Senior Machine Learning Engineer
Senior ML engineer on Samsara's Safety AI team building the cloud-side ML backend for AI dash cameras: serving low-latency ML APIs, petabyte-scale data pipelines, model evaluation/monitoring, and edge-to-cloud optimization using languages like Python, Go, or C++ with tools such as PyTorch, Ray, and MLflow. Remote within the US or Canada.


