4,644 ML Research & Training jobs
Open roles training and researching machine-learning models.
Machine Learning Engineer, Agents & LLMs
ML Engineer improving agent and long-context LLM capabilities behind Kiefer Tech's AI products: running post-training experiments (SFT, preference optimization, RL), designing multi-step agents, building benchmarks/verifiers and training data, and moving results to production. Stack centers on Python with PyTorch/JAX/TensorFlow.
Software Engineer- Machine Learning
Machine learning engineer who designs, trains, and deploys ML models and data pipelines to solve client problems, working with Python/C++, TensorFlow/PyTorch, Docker/Kubernetes, and cloud platforms. Role involves data collection, model development, documentation, and customer engagement.
Machine Learning Engineer - Subscriptions
Machine Learning Engineer on Spotify's Subscriptions mission (Radius squad), owning end-to-end production ML initiatives that personalize the subscriber journey — conversion, retention, and churn reduction. Core stack: Python/Scala, PyTorch, data pipelines, and GCP/AWS; role is EMEA-based with CET/GMT collaboration.
Senior AI/ML Platform Engineer
Overview Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for…
Machine Learning Research Intern
Research internship at Apple (Beijing) on cutting-edge machine learning: foundation models, on-device ML, NLP, speech technologies, and optimization. The intern develops novel ML methods for Apple Intelligence features, collaborates with product and engineering teams, and contributes to publications and technical reports.
Machine Learning Engineer II
Build and deploy production ML models for adMarketplace's native search advertising platform — relevance, ranking, CTR/CVR prediction, and bidding — owning the full ML lifecycle with MLOps, low-latency serving, and A/B testing. Core stack: Python, SQL, Spark/Hadoop, TensorFlow/PyTorch, cloud infrastructure.
Ai Ml Engineer
AI/ML Engineer in New Delhi building and optimizing fraud-detection and risk-scoring models: preparing datasets, building feature/training pipelines, evaluating model performance, monitoring drift and retraining, and integrating models with backend/SDK teams. Core stack: Python, NumPy, pandas, PyTorch or TensorFlow, SQL.
Applied AI/ML Scientist, Intern - Winter 2027
Winter 2027 intern (12-14 weeks, San Francisco hybrid) on Faire's Applied AI/ML Science team, owning a project on shipping/fulfillment models for the wholesale marketplace — such as predicting order packing, recommending cheaper packing, or inferring product weight/size from catalog data using multimodal deep learning (PyTorch), plus Python, SQL, and statistics.
Stage - Machine Learning - Foundation Model (H/F)
Et si votre prochain défi s’écrivait chez Parrot ? Du Bluetooth dans l’automobile aux drones grand public, jusqu’aux drones professionnels : depuis 1994, nous avons fait de l’innovation notre culture . Année après…
Computer Vision Engineer
Computer Vision Engineer (4+ yrs) in Pune building deep-learning vision systems for industrial settings using Python, C++, OpenCV, and PyTorch/TensorFlow — covering object detection, edge AI, industrial cameras, and PLC integration. Fully onsite.
AI Engineer (Evaluation)
At AI Singapore (hosted at NTU), this engineer builds and maintains evaluation frameworks and pipelines that benchmark LLM capabilities, focusing on multilingual, multicultural and multimodal testing (e.g. LLM-as-a-Judge). Daily work spans dataset collection/verification, data prep, AI modelling, and coding, testing and deploying solutions in Python.
AI Engineer (AI Products)
AI Engineer with AI Singapore (hosted at NTU) building multilingual, multimodal foundation LLMs focused on underrepresented languages and cultures. Day to day: developing data pipelines, running large-scale distributed training and evaluation, and translating frontier LLM research into production models using Python, PyTorch and the Hugging Face ecosystem.
Manager, Applied AI Engineering, DeepMind
Lead an engineering team at Google DeepMind building and shipping generative AI applications from 0 to 1, translating research into production features and optimizing industry-scale ML infrastructure. Core tech spans generative AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face.
Machine Learning Engineer - LiDAR and Object Recognition (m/f)
As part of a small team, the Machine Learning Engineer (m/f) will develop and deploy models to identify street and infrastructure assets from LiDAR point clouds and associated imagery. The role involves identifying…
AI Developer for Pets
Develops deep-learning models for pet-related image, text and movement recognition, owning the data pipeline from extraction and cleansing through model creation to result visualization. Works with TensorFlow/PyTorch/Caffe in C/C++/Java/Python and implements algorithms in computer and embedded systems.