Machine Learning Engineer
Palo Alto, CA · On-site
Nace AI is a company focused on leveraging machine learning to drive product value. They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with ...
Machine Learning Engineer
Palo Alto, CA · On-site
Nace AI is a company focused on leveraging machine learning to drive product value. They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with ...
Machine Learning Engineer
Fremont, CA · On-site
... Engineer to develop and deploy lightweight machine learning models ... for edge AI applications. The role involves collaborating with hardware and software teams ...
Machine Learning Engineer
Fremont, CA · On-site
... Engineer to develop and deploy lightweight machine learning models ... for edge AI applications. The role involves collaborating with hardware and software teams ...
Machine Learning Engineer
Santa Clara, CA · On-site
$123K/yr
... AI techniques to enhance agent autonomy and intelligence. * Build robust, scalable, and reliable ... Proficiency in programming languages such as Python, and experience with machine learning ...
Machine Learning Engineer
Santa Clara, CA · On-site
$123K/yr
... AI techniques to enhance agent autonomy and intelligence. * Build robust, scalable, and reliable ... Proficiency in programming languages such as Python, and experience with machine learning ...
Machine Learning Engineer
$150K - $450K/yr
Our mandate is to advance research, nurture the next generation of AI builders, and drive ... The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ...
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Machine Learning Engineer
$150K - $450K/yr
Our mandate is to advance research, nurture the next generation of AI builders, and drive ... The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ...
Machine Learning Engineer
Santa Clara, CA · On-site
$123K/yr
... AI techniques to enhance agent autonomy and intelligence. Build robust, scalable, and reliable ... Proficiency in programming languages such as Python, and experience with machine learning ...
Machine Learning Engineer
Santa Clara, CA · On-site
$123K/yr
... AI techniques to enhance agent autonomy and intelligence. Build robust, scalable, and reliable ... Proficiency in programming languages such as Python, and experience with machine learning ...
Goodfire is an AI interpretability research company focused on understanding and designing AI systems that people can trust. The Machine Learning Engineer will play a central role in building the ...
Goodfire is an AI interpretability research company focused on understanding and designing AI systems that people can trust. The Machine Learning Engineer will play a central role in building the ...
Goodfire is a research company focused on understanding and designing AI systems. They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying ...
Goodfire is a research company focused on understanding and designing AI systems. They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying ...
Goodfire is a research company focused on building safe and powerful AI systems through interpretability. They are seeking Machine Learning Engineers to develop their platform for training ...
Goodfire is a research company focused on building safe and powerful AI systems through interpretability. They are seeking Machine Learning Engineers to develop their platform for training ...
Machine Learning Engineer
Poway, CA · On-site
We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and ... Experience in AI frameworks such as Tensorflow and pyTorch. * Excellent verbal and written ...
Machine Learning Engineer
Poway, CA · On-site
We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and ... Experience in AI frameworks such as Tensorflow and pyTorch. * Excellent verbal and written ...
Goodfire is a research company focused on building safe and powerful AI systems. They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for ...
Goodfire is a research company focused on building safe and powerful AI systems. They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for ...
Machine Learning Engineer
San Jose, CA · On-site
Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... The Opportunity AI-powered Search, Recommendations and Generative AI-based guidance is a core part ...
Machine Learning Engineer
San Jose, CA · On-site
Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... The Opportunity AI-powered Search, Recommendations and Generative AI-based guidance is a core part ...
Machine Learning Engineer III
Pleasanton, CA · On-site
$64 - $86/hr
Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications. About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored ...
Machine Learning Engineer III
Pleasanton, CA · On-site
$64 - $86/hr
Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications. About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored ...
Machine Learning Engineer
San Jose, CA · On-site
Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... The Opportunity AI-powered Search, Recommendations and Generative AI-based guidance is a core part ...
Machine Learning Engineer
San Jose, CA · On-site
Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... The Opportunity AI-powered Search, Recommendations and Generative AI-based guidance is a core part ...
Goodfire is a research company focused on advancing the science of AI interpretability. They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying ...
Goodfire is a research company focused on advancing the science of AI interpretability. They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying ...
Machine Learning Engineer III
Santa Clara, CA · On-site
$67.50 - $90.75/hr
Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications. About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored ...
Machine Learning Engineer III
Santa Clara, CA · On-site
$67.50 - $90.75/hr
Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications. About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored ...
Machine Learning Engineer III
$64 - $86/hr
Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications. About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored ...
Machine Learning Engineer III
$64 - $86/hr
Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications. About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored ...
Machine Learning Engineer III
San Francisco, CA · On-site
$67.75 - $91/hr
Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications. About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored ...
Machine Learning Engineer III
San Francisco, CA · On-site
$67.75 - $91/hr
Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications. About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
Our mandate is to advance research, nurture the next generation of AI builders, and drive ... The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
Our mandate is to advance research, nurture the next generation of AI builders, and drive ... The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ...
Machine Learning Engineer
San Jose, CA · On-site
Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... The Opportunity AI-powered Search, Recommendations and Generative AI-based guidance is a core part ...
Machine Learning Engineer
San Jose, CA · On-site
Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... The Opportunity AI-powered Search, Recommendations and Generative AI-based guidance is a core part ...
We are building an AI-driven simulation software stack for engineering and manufacturing across ... Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ...
We are building an AI-driven simulation software stack for engineering and manufacturing across ... Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ...
Ai Agent Machine Learning Engineer information
What cities in California are hiring for Ai Agent Machine Learning Engineer jobs?
Cities in California with the most Ai Agent Machine Learning Engineer job openings:
Machine Learning Engineer
Palo Alto, CA • On-site
Nace AI
Full-time
Re-posted 2 days ago
Job description
Job Summary:
Nace AI is a company focused on leveraging machine learning to drive product value. They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with teams to architect robust systems and integrate AI-driven features into applications.
Responsibilities:
• Design, build, and maintain end-to-end ML systems, including synthetic data pipelines, model training, debugging, and performance evaluation.
• Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model generalization and efficiency.
• Improve existing Nace.AI models by incorporating advancements from recent ML research.
Qualifications:
Required:
• Hands-on experience training and fine-tuning large language models (LLMs) and vision-language models (VLMs), including practical work with pre-training, instruction tuning, and alignment techniques (GRPO, RLHF/DPO/PPO).
• Hands-on Experience with Deep Learning Models, especially Transformers.
• Ability to translate cutting-edge research from papers into clean, production-ready code (Paper to Code).
• Proven experience scaling inference infrastructure for LLMs/VLMs, including expertise in model serving frameworks like vLLM, TGI.
• Proficient in Python with a strong track record of building substantial projects.
• Solid foundation in computer science fundamentals (data structures, algorithms, design patterns).
• BS degree in CS or related technical field.
• Solid Experience with ML frameworks and libraries (PyTorch, TensorFlow).
• Self-starter comfortable working in a fast-paced, dynamic environment.
Preferred:
• MS/PhD in CS or related technical field.
• Familiarity with data processing stacks such as Spark and Airflow.
• Experience with multi-node GPU training.
• Contributor to open-source ML projects.
• Deep knowledge in Linear Programming.
• Experience with advanced NLP and Multimodal post-training experience (e.g., model distillation, quantization, deployment optimization).
• Experienced in inference time optimization, deep understanding of LLM serving optimizations for LLMs/VLMs.
• Hands on experience with quantization techniques (AWQ, GPTQ, FP8/GGUF).
Company:
Enterprise AI product & research company, building long-horizon reasoning models and agents. Founded in 2024, the company is headquartered in Palo Alto, USA, with a team of 11-50 employees. The company is currently Early Stage.
Nace AI is a company focused on leveraging machine learning to drive product value. They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with teams to architect robust systems and integrate AI-driven features into applications.
Responsibilities:
• Design, build, and maintain end-to-end ML systems, including synthetic data pipelines, model training, debugging, and performance evaluation.
• Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model generalization and efficiency.
• Improve existing Nace.AI models by incorporating advancements from recent ML research.
Qualifications:
Required:
• Hands-on experience training and fine-tuning large language models (LLMs) and vision-language models (VLMs), including practical work with pre-training, instruction tuning, and alignment techniques (GRPO, RLHF/DPO/PPO).
• Hands-on Experience with Deep Learning Models, especially Transformers.
• Ability to translate cutting-edge research from papers into clean, production-ready code (Paper to Code).
• Proven experience scaling inference infrastructure for LLMs/VLMs, including expertise in model serving frameworks like vLLM, TGI.
• Proficient in Python with a strong track record of building substantial projects.
• Solid foundation in computer science fundamentals (data structures, algorithms, design patterns).
• BS degree in CS or related technical field.
• Solid Experience with ML frameworks and libraries (PyTorch, TensorFlow).
• Self-starter comfortable working in a fast-paced, dynamic environment.
Preferred:
• MS/PhD in CS or related technical field.
• Familiarity with data processing stacks such as Spark and Airflow.
• Experience with multi-node GPU training.
• Contributor to open-source ML projects.
• Deep knowledge in Linear Programming.
• Experience with advanced NLP and Multimodal post-training experience (e.g., model distillation, quantization, deployment optimization).
• Experienced in inference time optimization, deep understanding of LLM serving optimizations for LLMs/VLMs.
• Hands on experience with quantization techniques (AWQ, GPTQ, FP8/GGUF).
Company:
Enterprise AI product & research company, building long-horizon reasoning models and agents. Founded in 2024, the company is headquartered in Palo Alto, USA, with a team of 11-50 employees. The company is currently Early Stage.