13,763 Machine Learning jobs

Open 17d HybridMENASenior

Senior AI/ML Engineer

Israel

Tel Aviv-Jaffa, Tel Aviv District

Senior AI/ML Engineer at Darrow, a legal-tech startup, building agentic LLM-based extraction and inference systems that turn public data into structured legal-exposure signals, owning solutions from exploration through production. Core stack: Python, SQL/NoSQL, data pipelines, LLM tooling, and cloud (AWS, Docker, Kubernetes).

Agentic AI AI Airflow API AWS +26 skills

당근마켓

AI LLM Machine Learning NLP Python

[산업기능요원 집중 채용 캠페인] Software Engineer, Machine Learning

New APAC 4 questions

South Korea

SEOUL

당근 팀 합류 여정에 오르신 것을 진심으로 환영해요 당근은 회사의 성장에 맞춰 개인이 함께 성장할 수 있는 환경을 만들기 위해 노력을 하고 있어요. 멋진 동료들과 행복한 고민을 하는 그 순간이 올 수 있도록 당근 채용팀이 도와드릴게요. 지원 전, 꼭 확인해 주세요! 최종 합격 시 12월 14일 또는 12월 21일 입사 예정 이에요. 지원 전 해당 일정에 입사가 가능하신지 꼭 확인해…

Virtusa

Ai ML Engineer

New On-siteAPACFull-time

Agentic AI AI AWS Containerization Deep Learning +13 skills

Bengaluru

Roles and Responsibilities : Design, develop, test, and deploy AI/ML models using Python and PyTorch to solve complex business problems. Collaborate with cross-functional teams to identify requirements and implement…

500K – 2.5M INR

J.P. Morgan

JP Morgan Chase - Applied AI/ML Vice President

New APACC-level

AI Data Science Hive Keras LLM +9 skills

Bangalore

VP-level applied AI/ML role in J.P. Morgan's Asset & Wealth Management team in Bengaluru: partnering with stakeholders to design, build, and productionize data science solutions — data wrangling, analysis, and modeling including NLP/LLM work — using Python, ML libraries like TensorFlow/PyTorch, and Spark/Hive/SQL.

J.P. Morgan

JP Morgan Chase - Vice President - Applied AI/Machine Learning Lead - Risk Modeling

New APACFull-timeC-level

AI Analytics AWS Big Data Cloud +16 skills

Bangalore

VP-level lead designing, deploying, and monitoring AI/ML and statistical credit-risk models for JPMorgan Chase's consumer credit card and small business portfolios, using Python, PySpark, Spark, and AWS cloud platforms while partnering with senior stakeholders across the full model lifecycle.

Machine Learning Engineer, SIML

Open 134d North America

AI Distributed Training Fine Tuning Generative AI JAX +4 skills

Machine learning research engineer on Apple's Intelligent System Experiences team, building the generative model technology behind Genmoji, Image Playground, and Image Wand. Day to day: training and fine-tuning diffusion and auto-regressive image/video foundation models, from web-scale data and distributed training to on-device optimization, using frameworks like PyTorch, TensorFlow, or JAX.

Open 49d North AmericaLead

Lead Machine Learning Engineer, Human Sensing

Automation Computer Vision LLM Machine Learning Python +2 skills

Seattle

Apple's Human Sensing team in Seattle is hiring a technical lead to drive ML programs for facial and full-body perception models powering features like Apple Intelligence and Photos. Day to day the role scopes projects, sets KPIs and evaluation frameworks, directs dataset strategy, mentors engineers, and does hands-on work in Python/PyTorch with on-device model optimization.

Machine Learning Engineer, Data for Foundation Models

Open 22d North America

AI Distributed Training Generative AI Hadoop JAX +3 skills

Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that…

ByteDance

Agentic AI AI Analytics Anomaly Detection Automation +16 skills

Machine Learning Engineer (Compliance) - Global Payment - Singapore - Global Payment

New APAC

Singapore

The Global Payment Tech team is the core engine powering ByteDance's global payment and financial services, spanning payment acquiring, wallets, financial products, insurance, and foreign exchange for users and…

Open 125d North AmericaSenior

Senior Machine Learning Engineer, Evaluation, Agentic Search Capabilities

Agentic AI C++ Data Quality Machine Learning NLP +3 skills

Senior ML engineer on Apple's Agentic Search Evaluation team, building scalable systems to evaluate personalized search/answer experiences across Siri, Spotlight, Mail, and Messages. Day-to-day work spans data generation and curation, offline/online quality metrics, and statistical assessment, using Python and C/C++ at large scale.

Machine Learning Research Engineer, SIML - ISE

Open 138d North America

AI Computer Vision Deep Learning LLM Machine Learning +4 skills

Research and build multimodal perception and reasoning models using vision-language models and multimodal LLMs at the core of Apple Intelligence. Day to day involves hands-on model training, experimentation, and performance analysis, collaborating with cross-functional teams to turn product needs into ML features shipping across Apple devices.

Token Foundry-RLHF算法研究员-Qwen

AI DeepSpeed LLM NLP Python +2 skills

Beijing, Hangzhou

RLHF algorithm expert on Alibaba's Qwen team (Token Foundry): builds user-preference data pipelines, trains Reward Models, mines Badcases from user feedback, and develops LLM-based judge/verifier systems to align Qwen LLMs, using Python, PyTorch, and RL methods such as PPO, GRPO, and DPO.

Token Foundry-合版算法研究员-Qwen

DeepSpeed LLM Python PyTorch SGLang +1 skills

Beijing, Hangzhou

Researches model-merging (合版) algorithms for Alibaba's Qwen LLMs — on-policy distillation, knowledge fusion and SFT objectives to combine multiple capabilities into one model with minimal conflict/forgetting — plus data-mixing strategy, automated multi-capability evaluation pipelines, and end-to-end training/eval automation. Core stack: Python, PyTorch, LLM post-training.

Token Foundry-大模型评估系统算法研究员-Qwen

Beijing, Hangzhou, Shanghai

Algorithm researcher on Alibaba's Qwen 'Token Foundry' team building LLM evaluation systems: constructing eval datasets that probe model weaknesses, training LLM-as-a-Judge and reward models to capture human preference, designing reward signals with RL to raise model capability, and building the engineering frameworks for eval/reward pipelines. Core stack: Python, PyTorch, Transformers/LLMs.

LLM Python PyTorch

Token Foundry-RL算法研究员-Qwen

Beijing, Hangzhou, Shanghai

RL Algorithm Researcher on Alibaba's Token Foundry team advancing the Qwen foundation models: researching PPO/GRPO large-scale RL training, building Agentic RL pipelines (reward models, critics, verifiers), and iterating training data and environments for coding and long-horizon agents to improve reasoning, planning, and code generation.

Agentic AI

Token Foundry-网络安全大模型算法研究员-Qwen

Beijing, Hangzhou

Researcher on Alibaba's Qwen team improving large language model performance on cybersecurity tasks through post-training and reinforcement learning. Day to day: building security training/evaluation environments (cyber ranges, vulnerability reproduction, patch validation, attack-defense drills) and applying LLM/RL/Agent methods with PyTorch.

Token Foundry-预训练模型评测算法工程师-Qwen基础模型

Hangzhou

Join Alibaba's Token Foundry team building evaluation for the Qwen foundation models: design scalable automated LLM/agent benchmarks and datasets, tune pretraining + light-SFT data mixes, and mine metrics that predict a pretrained base model's post-training potential. Core work spans LLM evaluation, benchmark/data synthesis, and pipelines.

HiringBlaze

Tech Lead - AI/ML

New HybridAPACLead