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Machine Learning Research Engineer, SIML - ISE

Open 137d North America

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.

AI Computer Vision Deep Learning LLM Machine Learning +4 skills

Token Foundry-RLHF算法研究员-Qwen

Open 17d APAC H-1B sponsor history

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.

AI DeepSpeed LLM NLP Python +2 skills

Token Foundry-合版算法研究员-Qwen

Open 17d APAC H-1B sponsor history

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.

DeepSpeed LLM Python PyTorch SGLang +1 skills

Token Foundry-代码大模型算法研究员-Qwen

Open 17d APAC H-1B sponsor history

Beijing, Hangzhou, Shanghai

Researcher on Alibaba Token Foundry's Qwen code-focused LLMs: builds Qwen and Qwen-Coder through data collection, large-scale pre-training, RL post-training, and evaluation, and develops coding agents and computer-use (GUI) agents. Requires an MS/PhD in CS/AI/ML with deep learning and LLM research experience.

Token Foundry-大模型评估系统算法研究员-Qwen

Open 17d APAC H-1B sponsor history

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-Reward System算法研究员-Qwen

Open 17d APAC H-1B sponsor history

Algorithm engineer on Alibaba's Qwen team designing, training, and iterating the Agentic Reward System for the Qwen foundation model — building reward signals for coding/agent scenarios (reward models, code verifiers, user-experience rewards) and reward infra coupled with CPT/SFT/RL pipelines (PPO/GRPO) to improve alignment quality.

Token Foundry-RL算法研究员-Qwen

Open 17d APAC H-1B sponsor history

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.

Token Foundry-网络安全大模型算法研究员-Qwen

Open 17d APAC H-1B sponsor history

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

Open 17d APAC H-1B sponsor history

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.

Token Foundry-大模型预训练算法研究员-Qwen

Open 17d APAC H-1B sponsor history

Beijing, Hangzhou, Shanghai

LLM pre-training algorithm engineer on Alibaba's Qwen team (Token Foundry), researching pre-training data synthesis and optimization, training strategies (loss functions, scaling laws, optimizers), and model architecture (MoE, attention variants, KV-cache compression, decoding speedup) to advance foundation models. Open to MS/PhD graduates with hands-on research experience.

Token Foundry-训练系统算法研究员-Qwen

Open 17d APAC H-1B sponsor history

Beijing, Hangzhou

Algorithm engineer on Alibaba's Qwen team (Token Foundry) designing and optimizing large-scale distributed training and RL post-training (PPO/GRPO) pipelines for LLMs. Day-to-day: building on frameworks like Megatron-LM/DeepSpeed, solving multi-model RL scheduling and memory issues, and troubleshooting stability on thousand-to-ten-thousand GPU clusters.

DeepSpeed RLHF SOAP

千问事业部-千问大模型Agentic算法专家-北京/杭州

Open 17d APAC H-1B sponsor history

Beijing, Hangzhou

Alibaba's Qwen (千问) team is hiring an Agentic AI algorithm expert to define and build next-generation agent capabilities for the Qwen LLM — task planning, tool/API use, multi-step reasoning, long-horizon autonomous execution, agentic post-training (SFT/RLHF/DPO/GRPO), and evaluation systems — upgrading Qwen from answering questions to executing tasks for hundreds of millions of users.

Agentic AI AI API LLM NLP +1 skills

Tech Lead - AI/ML

New HybridAPACLead

Tech Lead for AI/ML based in Hyderabad who architects and deploys production ML systems, mentors data scientists and engineers, and drives the AI roadmap with stakeholders. Core stack: Python with PyTorch/TensorFlow, cloud platforms (AWS/GCP/Azure), MLOps and containerized deployments. Hybrid work, 5-9 years' experience.

AI Analytics AWS Azure Cloud +8 skills

Computer Vision Engineer (w/m/d)

Computer Vision Engineer at Schwarz Digits (the IT/digital arm of the Schwarz Group retail conglomerate) in Germany, developing and applying machine learning, computer vision, and signal processing algorithms — with a focus on vision-language models, foundation models, and transformer-based deep learning architectures, plus classic methods like SLAM and tracking.

Computer Vision Deep Learning

AfterQuery (via AI Gig Scout)

Bioinformatics Machine Learning Expert (Remote, Contract, $175/hr) — AfterQuery via AI Gig Scout

New RemoteEuropeContract

AfterQuery is hiring machine learning professionals with deep bioinformatics expertise for remote, project-based contract work listed at $175/hr. Tasks sit at the intersection of ML and biological data analysis,…

AI Bioinformatics Data Science Machine Learning

175 – 175 $ / hr

Senior Technical Recruiter, AI/ML Research

Open 143d North AmericaFull-timeSenior Salary + equity 2 questions

Senior Technical Recruiter at Together AI who partners with AI Research and Engineering leadership to run full-cycle hiring of researchers, research engineers, and ML systems talent — building pipelines from academia and industry, designing research-specific interview loops, and advising leaders on AI talent markets.

AI Cloud Fine Tuning Full Cycle Recruiting Generative AI +5 skills

165K – 210K $

HERE Technologies

AI ML Engineer

What's the role? As AI ML Engineer, you will develop reusable geospatial AI building blocks that enable other teams to create and scale AI-powered capabilities. You will focus on hands-on implementation across…

Agentic AI AI Analytics C++ Data Pipelines +13 skills

Lead ML/AI Engineer

New RemoteNorth AmericaFull-timeLead No extra questions

Senior individual-contributor lead role building the production ML/AI infrastructure for a real-time healthcare decision platform, turning model predictions into measurable actions for care teams and payers. Core stack: AWS-native services, Databricks lakehouse, streaming pipelines, MLOps, and generative AI/LLM systems under PHI controls.

Agentic AI AI AWS AWS Bedrock CDK +29 skills

Lease a Bike Deutschland GmbH

Senior Machine Learning & Ai Engineer (m/f/d)

New EuropeSenior

Senior Machine Learning & AI Engineer at Lease a Bike Deutschland, building classic ML and LLM-agent solutions on AWS and Snowflake to improve customer acquisition, residual-value management, and service request handling, while helping shape a new AI team.

AI AWS LLM Machine Learning Snowflake

Token Foundry-模型自进化算法研究员-Qwen模型训练

Open 17d APAC H-1B sponsor history

Beijing, Hangzhou

Researcher on Alibaba's Qwen team (Token Foundry) building self-evolving LLM algorithms: automated synthesis and curation of Agent RL/SFT training data, mining of pretraining/CPT data, and automated training/inference infra tuning with Verl, Megatron, SGLang, and vLLM. Based in Beijing or Hangzhou.