Attis
AI Architect - ML Researcher / LLMs / Deep Learning / Generative AI
Attis, Los Angeles, California, United States, 90079
AI Architect - ML Researcher / LLMs / Deep Learning / Generative AI
Join a leading organization at the bleeding edge of AI-driven solutions with a mission to empower knowledge workers with no-code workflows, leveraging the latest advancements in AI and machine learning. They believe the power of generative AI and LLMs will revolutionize productivity, and they are dedicated to creating a safe and secure platform for innovation.
***ITAR regulations apply: Working with security data means they can only employ US Citizens or Green Card Holders***
What is Offered
Salary:
$200,000 - $260,000 per annum, depending on experience and qualifications. Unlimited vacation
and paid time off policies. Competitive equity package. Comprehensive health, dental, and vision insurance. A flexible and dynamic work environment with opportunities for occasional remote work. The opportunity to work alongside a talented team of engineers and innovators. A chance to be part of a groundbreaking company shaping the future of generative AI. Responsibilities Integrate Latest AI Developments : Quickly incorporate the newest advancements in AI into the product to maintain a competitive edge. Develop Agentic Feedback Loops : Create and refine feedback mechanisms to boost AI solution performance. Experiment with Data Retrieval Techniques : Innovate and explore various data retrieval methods to optimize processing. Conduct Quality Experiments for RAG : Execute quality experiments in Retrieval-Augmented Generation (RAG) to enhance AI-generated content. Implement New Tools and Methodologies : Introduce tools or methodologies that lead to significant improvements in AI architectures. Optimize Performance with Fine-Tuning and RLHF : Focus on model fine-tuning and reinforcement learning as needed to optimize performance. Provide Expert Guidance : Serve as the AI expert, guiding the team in building advanced agents and top-tier RAG. Continuously Improve AI Models : Consistently improve AI and machine learning models, focusing on generative AI and large language models (LLMs). Collaborate with Cross-Functional Teams : Work closely with other departments to develop AI models that meet their needs. Mentor Junior Team Members : Offer guidance and mentorship in AI model development. Present Research Findings : Clearly present complex concepts and research results to both technical and non-technical audiences. Lead Collaborative Research Efforts : Foster research partnerships with external researchers and institutions. Required Qualifications Minimum of 7 years of experience in AI research, with a strong focus on deep learning, generative models, and large language models. Extensive experience with reinforcement learning for fine-tuning (RLHF). Proficient in using machine learning libraries such as TensorFlow, PyTorch, or other relevant frameworks. Demonstrated ability to lead complex projects and mentor junior team members. Familiarity with Langchain and other open-source frameworks. High-caliber background:
either an Ivy League degree, or worked at the big AI labs, or a contributor to the open source community, or founded / been a founding engineer at a startup etc. (along those lines) 4 days a week on site in West LA Preferred Qualifications Startup experience Understanding principles of enterprise security. Background in developing Enterprise SaaS solutions. Company Culture The client values a start-up and entrepreneurial mindset, strong ownership culture, fast-paced and action-oriented environment, empathy, open-mindedness, constructive feedback, reflective thinking, and collaboration, and encourage innovative thinking to achieve their goals. Encouragement to Apply Research has shown that women are less likely to apply for a job unless they meet nearly all of the listed qualifications. If you are excited about this role but your past experience doesn't align perfectly with every qualification, we encourage you to apply. You may be just the right candidate for this or other roles. SEO Keywords for Search:
Lead ML Engineer, Senior AI Architect, Deep Learning Expert, Principal Data Scientist, Generative Models AI Researcher, Machine Learning Architect, AI Solutions Developer, AI Strategist, Senior ML Architect, PyTorch Engineer, AI-driven Solutions, AI Integration, AI Research Projects, AI Modeling, Large Language Models, Reinforcement Learning, Artificial Intelligence Research Disclaimer DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender reassignment, and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at .
$200,000 - $260,000 per annum, depending on experience and qualifications. Unlimited vacation
and paid time off policies. Competitive equity package. Comprehensive health, dental, and vision insurance. A flexible and dynamic work environment with opportunities for occasional remote work. The opportunity to work alongside a talented team of engineers and innovators. A chance to be part of a groundbreaking company shaping the future of generative AI. Responsibilities Integrate Latest AI Developments : Quickly incorporate the newest advancements in AI into the product to maintain a competitive edge. Develop Agentic Feedback Loops : Create and refine feedback mechanisms to boost AI solution performance. Experiment with Data Retrieval Techniques : Innovate and explore various data retrieval methods to optimize processing. Conduct Quality Experiments for RAG : Execute quality experiments in Retrieval-Augmented Generation (RAG) to enhance AI-generated content. Implement New Tools and Methodologies : Introduce tools or methodologies that lead to significant improvements in AI architectures. Optimize Performance with Fine-Tuning and RLHF : Focus on model fine-tuning and reinforcement learning as needed to optimize performance. Provide Expert Guidance : Serve as the AI expert, guiding the team in building advanced agents and top-tier RAG. Continuously Improve AI Models : Consistently improve AI and machine learning models, focusing on generative AI and large language models (LLMs). Collaborate with Cross-Functional Teams : Work closely with other departments to develop AI models that meet their needs. Mentor Junior Team Members : Offer guidance and mentorship in AI model development. Present Research Findings : Clearly present complex concepts and research results to both technical and non-technical audiences. Lead Collaborative Research Efforts : Foster research partnerships with external researchers and institutions. Required Qualifications Minimum of 7 years of experience in AI research, with a strong focus on deep learning, generative models, and large language models. Extensive experience with reinforcement learning for fine-tuning (RLHF). Proficient in using machine learning libraries such as TensorFlow, PyTorch, or other relevant frameworks. Demonstrated ability to lead complex projects and mentor junior team members. Familiarity with Langchain and other open-source frameworks. High-caliber background:
either an Ivy League degree, or worked at the big AI labs, or a contributor to the open source community, or founded / been a founding engineer at a startup etc. (along those lines) 4 days a week on site in West LA Preferred Qualifications Startup experience Understanding principles of enterprise security. Background in developing Enterprise SaaS solutions. Company Culture The client values a start-up and entrepreneurial mindset, strong ownership culture, fast-paced and action-oriented environment, empathy, open-mindedness, constructive feedback, reflective thinking, and collaboration, and encourage innovative thinking to achieve their goals. Encouragement to Apply Research has shown that women are less likely to apply for a job unless they meet nearly all of the listed qualifications. If you are excited about this role but your past experience doesn't align perfectly with every qualification, we encourage you to apply. You may be just the right candidate for this or other roles. SEO Keywords for Search:
Lead ML Engineer, Senior AI Architect, Deep Learning Expert, Principal Data Scientist, Generative Models AI Researcher, Machine Learning Architect, AI Solutions Developer, AI Strategist, Senior ML Architect, PyTorch Engineer, AI-driven Solutions, AI Integration, AI Research Projects, AI Modeling, Large Language Models, Reinforcement Learning, Artificial Intelligence Research Disclaimer DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender reassignment, and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at .