4,641 ML Research & Training jobs
Open roles training and researching machine-learning models.
Senior Machine Learning Engineer (Recommendation Systems & Personalization)
Responsibilities: Develop real-time product and bundle recommendation engines, including dynamic slot placement optimized for conversion and margin. Build targeted promotion algorithms: personalized coupon and points…
Senior Machine Learning Engineer
Senior Machine Learning Engineer at RTB House builds and optimizes deep-learning ad-buying systems and ML infrastructure that serve billions of ad views monthly using Python/C++/Scala, PyTorch/TensorFlow, and GCP.
Senior Machine Learning Researcher
Senior Machine Learning Researcher at RTB House in Warsaw designing and implementing deep learning models to predict user behavior for ad-buying engines in a global AdTech company.
Staff Machine Learning Researcher
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.
Senior Machine Learning Scientist
Senior Machine Learning Scientist We are hiring an experienced Senior Machine Learning Scientist to solve complex, large-scale business problems using advanced machine learning, statistics and experimentation. This…
AI Engineer - ASR: PraDigi, a Pratham Initiative
Lead development of speech-recognition (ASR) systems for automated children's reading assessment across multiple languages at Pratham's PraDigi initiative — owning speech data collection/annotation, model training and fine-tuning (Whisper, wav2vec 2.0, Conformer, CTC/RNN-T), error analysis, benchmarking, and deployment for low-bandwidth/offline settings, using Python and PyTorch with toolkits like
AI/ML Developer (Senior/Lead) - Noida
Role & responsibilities We are seeking a highly motivated AI/ML Team Lead to lead our team of machine learning and computer vision engineers for video analytics project. The ideal candidate will have a strong…
Member of Technical Staff, Machine Learning
Build and deploy core ML components for an AI-native assistant that automates daily tasks with high reliability and low latency using Python, PyTorch/JAX, and GPU-based production systems.
Applied Machine Learning Engineer
Builds and owns end-to-end ML systems for a proactive AI assistant, focusing on long-running workflows, reliability, and real-world task completion using PyTorch/JAX and GPU infrastructure.
Machine Learning Engineer, Ranking & Retrieval
Build and improve the ML systems behind an AI-native mobile communication app — working on classification, ranking, retrieval, personalization and evaluation from model development through production deployment. Stack centers on Python, PyTorch/JAX, embeddings and vector search.
Technical Lead, Machine Learning
Hands-on ML technical lead owning the end-to-end machine learning stack — data pipelines, training/fine-tuning, evaluation, inference, and deployment — behind AI-native productivity apps. Remote role based in China; core stack is Python, PyTorch/JAX, and GPU-based training and inference systems.
Principal Machine Learning Engineer
Principal ML Engineer building AI-native productivity apps for tasks and workflows. Responsible for the end-to-end ML lifecycle, including training pipelines, evaluation systems, and high-performance GPU inference using Python, PyTorch, or JAX. Focuses on turning research into reliable, scalable production systems for long-running workflows.
Lead Engineer, Machine Learning
The Lead Engineer, Machine Learning will build and scale production-ready AI systems, managing the full model lifecycle from training to deployment. The role focuses on creating reliable, high-performance inference systems using Python, PyTorch, and JAX to power proactive, AI-native applications.
Staff Machine Learning Engineer
Staff ML Engineer owning the end-to-end ML execution layer at an AI-native productivity startup — building training/fine-tuning pipelines, evaluation systems, and high-performance GPU inference to turn large models into reliable production systems for proactive everyday apps (email, notes, tasks, calendar). Stack: Python, PyTorch/JAX, GPU infra.
STAGE - Deep Learning - Rehaussement de la parole pour lunettes auditives H/F
Votre rôle : Basée à Sophia Antipolis (France), Pulse Audition est une jeune start-up au sein d'EssilorLuxottica. L'équipe est composée d'experts en intelligence artificielle, en traitement du signal audio, en…
Applied AI Engineer
Build and ship AI-powered features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
AI Engineer - Biotech Target Discovery for Diseases of Aging (13, JPN)
Founding-level AI engineer at an early-stage Japanese biotech building an AI-powered discovery platform to identify membrane surface protein targets for aging and cancer from single-cell RNA-seq data. Day to day: designing ML models, scalable omics data pipelines, and interactive researcher dashboards in Python (PyTorch/TensorFlow, Plotly Dash/Streamlit).