model training Jobs | AI Job Radar

How to use model training in applications

If a job requires model training, the skill should be supported by a project, course or portfolio example. The application check reviews whether the skill is actually evidenced in your CV.

Document a small project or notebook
Name relevant tools and methods
Connect the evidence to the target role

Results

Companies

94.7

Average score

Remote

10 results on this page. 19 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

Machine Learning Engineer, AV Engineering

Wayve · Herzliya, Israel

95/100

Herzliya, IsraelUKgreenhouse2026-06-16

Why this is a real AI job: The role explicitly focuses on developing and training AI models for autonomous driving (L2-L4), owning the entire ML lifecycle, and deploying these models into vehicles. The core responsibilities are heavily centered around AI/ML tasks.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create…

Details Open source / apply

Staff Machine Learning Engineer, AV Core

Wayve · Sunnyvale, California USA

95/100

Sunnyvale, California USAUKgreenhouse2026-06-16

Machine Learning Deep Learning PyTorch Transformers Multimodal Architectures Vision-Language Models Data Science Model Training Model Deployment Representation Learning

Why this is a real AI job: The role is explicitly focused on developing and deploying machine learning models for autonomous driving, including core safety features. The job description heavily emphasizes ML engineering, model training, and experience with relevant architectures (trans…

Details Open source / apply

Tech Lead, ML Engineer - AV Product engineering

Wayve · Sunnyvale, California USA

95/100

Sunnyvale, California USAUKgreenhouse2026-06-16

Machine Learning Deep Learning PyTorch Computer Vision NLP Transformer Networks MLOps Data Science End-to-End Learning Model Training

Why this is a real AI job: The role is explicitly focused on leading the machine learning workstream for an autonomous driving system, encompassing model training, deployment, and technical vision. The required skills and experience heavily emphasize ML engineering and deep learning.

Details Open source / apply

Software Engineer, Machine Learning

Glean · Bangalore

95/100

BangaloreUSAgreenhouse2026-06-16

Machine Learning Natural Language Processing LLM Data Science Model Training Data Analysis Search Recommendation Systems MLOps

Why this is a real AI job: The role explicitly focuses on building and improving core AI components like search engines, language models, and ranking systems. The tasks listed are heavily centered around ML model development, training, and deployment.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

Details Open source / apply

Machine Learning Engineer, Search Quality

Glean · Mountain View, CA (HQ)

95/100

Mountain View, CA (HQ)USAgreenhouse2026-06-16

Machine Learning Natural Language Processing LLM Data Science Model Training Search Recommendation Systems Python

Why this is a real AI job: The role explicitly focuses on building and improving core AI components of a search engine, including model training, language model adaptation, and combining LLMs with search. The tasks are heavily centered around AI/ML techniques.

Details Open source / apply

Applied Machine Learning Research Scientist

Cerebras Systems · Headquarters/Sunnyvale Office, Toronto Office

95/100

Headquarters/Sunnyvale Office, Toronto OfficeUSAgreenhouse2026-06-16

Machine Learning Deep Learning LLM PyTorch Data Pipelines Reinforcement Learning Model Training Model Optimization Natural Language Processing

Why this is a real AI job: The role explicitly focuses on applying and improving machine learning techniques, specifically LLMs, for training, optimization, and deployment. The responsibilities are heavily centered around ML systems and pipelines.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Open source / apply

Machine Learning Engineer

Together AI · San Francisco

95/100

San FranciscoUSAgreenhouse2026-06-16

Machine Learning LLM Inference Python Data Science MLOps Model Training Distributed Systems

Why this is a real AI job: The role explicitly focuses on developing systems for LLM inference and fine-tuning, requiring deep expertise in ML and related technologies. The company is a research-driven AI company.

About the Role Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the lar…

Details Open source / apply

Open-Source Software, Machine Learning Engineer

Mistral AI · Paris

95/100

ParisFranceFull-timelever2026-06-16

Machine Learning LLMs Python PyTorch MLOps Data Science Open Source Development Model Training Model Fine-tuning

Why this is a real AI job: The role explicitly focuses on releasing, maintaining, and improving open-source models and libraries related to LLMs. The required skills and experience heavily emphasize ML, LLMs, and MLOps. The candidate will work within the Science team and directly contr…

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, produ…

Details Open source / apply

Member of Technical Staff (AI Researcher)

Perplexity AI · San Francisco

95/100

San FranciscoUSAFullTimeashby2026-06-16

LLM Machine Learning Deep Learning Python PyTorch Reinforcement Learning SFT DPO GRPO Data Science

Why this is a real AI job: The role explicitly focuses on AI research and development, specifically large language models (LLMs) and their application to Perplexity's core products. The responsibilities are heavily centered around model training, optimization, and implementation, indic…

Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences…

Details Open source / apply

Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI

Scale AI · San Francisco, CA

95/100

San Francisco, CAUSAgreenhouse2026-06-16

Machine Learning LLM RLHF RLVR PPO GRPO Deep Learning Data Science Model Training Generative AI

Why this is a real AI job: The role explicitly focuses on building and training state-of-the-art models, researching cutting-edge algorithms, and deploying them to enterprise customers. The job description heavily emphasizes LLMs, RLHF, and other advanced AI/ML techniques.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, an…

Details Open source / apply