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As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

Expertise in defining schemas, managing metadata, and crawling data sources. Architect data models, pipelines, and applications to support workload data, finance and infrastructure teams. We are seeking a highly skilled Staff Data Scientist to join our Product Workload & Efficiency Engineering team.

Job DescriptionSenior Architect: Compute and Dataflow About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers from NVIDIA, Google, and Meta, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are seeking a highly motivated and skilled Research Scientist with deep expertise in chip microarchitecture, dataflow-centric design, and interconnect/network-on-chip (NoC) optimization to join our central architecture team. This role focuses on pushing the boundaries of performance, efficiency, and scalability for next-generation compute systems by exploring novel microarchitectural innovations and optimizing data movement across the compute fabric. You will work on cutting-edge problems in defining the architecture of our core compute engines, optimizing them for best PPA, and collaborating with cross-disciplinary teams to prototype and evaluate new ideas and concepts, and eventually make it to a state-of-the-art chip and system we are building. Key responsibilities * Drive research and development of next-generation chip microarchitecture with a focus on dataflow-centric and interconnect/NoC optimization. * Prototype and evaluate end-to-end compute systems. * Build performance and power models for our next generation chips. * Collaborate with cross-disciplinary teams to explore architectural innovations that enhance performance, efficiency, and scalability. * Contribute to shaping future computing platforms in AI/ML and cloud infrastructure. You may be a good fit if you have * A PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience. * Experience in microarchitecture design and hardware-software co-design. * Proficiency in systems-level programming languages such as C or C++. * A strong research background in computer systems design and architecture. * Expertise in chip microarchitecture, dataflow architectures, and network-on-chip/interconnect systems. * Experience with memory hierarchy design, interconnect topologies, coherence protocols, and scalable compute fabrics. Strong candidates may also have experience with * Publishing in top-tier venues such as ISCA, MICRO, ASPLOS, HPCA, DAC, and SIGARCH. * Hardware modeling tools such as gem5, RTL simulation, or cycle-accurate simulators, along with performance analysis methodologies. * Systems for machine learning (ML), accelerators, and heterogeneous compute platforms. * Designing and building experimental or production-grade computing systems. Benefits * Full medical, dental, and vision packages, with generous premium coverage * Housing subsidy of $2,000/month for those living within walking distance of the office * Daily lunch and dinner in our office * Relocation support for those moving to West San Jose Compensation Range * $150,000 - $275,000 How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in West San Jose, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

Job DescriptionWho are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors, we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article. Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We're in search of a Senior Data Scientist who brings deep expertise in building and deploying large language models and AI systems at scale. This role is for those with extensive experience in developing production-grade AI solutions, particularly in the realm of generative AI and language models. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide. Professional Experience: * 7+ years of hands-on ML/AI experience with at least 1 year of hands-on experience in GenAI/LLM projects * Track record of successfully deploying ML/AI systems in production environments * Experience working with enterprise customers and understanding their unique requirements Technical Skills Required: * Strong programming skills in Python, including expertise in ML stack (Hugging Face, NumPy, Pandas, scikit-learn) * Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures * API development expertise (FastAPI) and production deployment experience * Proven experience with prompt engineering best practices and LLM evaluation metrics Technical Skills Preferred: Infrastructure & Deployment * Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines * Experience with observability and monitoring of LLM applications * Proficiency in model compression, distillation, and deployment at scale Model Development & LLMs * Expertise in semantic search and embedding models * Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems * Advanced model fine-tuning techniques, including LoRA, Prompt Tuning, and Adapter Training Why you should join Altimate AI?Projects You'll Work On: * Advanced AI Agent Architecture: Design and implement sophisticated multi-agent systems that can understand context, make decisions, and enable seamless collaboration between AI and human data professionals. * Large-Scale RAG Systems: Build and optimize retrieval-augmented generation pipelines that can efficiently process and utilize enterprise-scale knowledge bases. * Model Optimization & Deployment: Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models for specific enterprise data tasks, ensuring faster, more accurate performance. * Scalable AI Infrastructure: Develop and optimize cloud-native architectures (AWS, Kubernetes) for large-scale training, inference, and multi-agent orchestration. * Enterprise Security & Compliance: Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards. Impact: * Innovation Leadership: Shape the future of enterprise AI by developing novel approaches to autonomous data operations and AI-driven automation. * Product Development: Direct influence on our flagship products, DataPilot and DataMates, working on cutting-edge features that define the next generation of AI-powered data tools. * Team Growth: Help build and mentor a growing team of AI engineers, shaping our technical culture and practices. * Open Source Contribution: Lead and contribute to our open-source initiatives, establishing yourself as a thought leader in the AI community. * Technical Growth: Opportunity to work with the latest advancements in AI technology and shape the architecture of next-generation AI systems. What We Offer * Competitive salary and equity * Base Salary Range: $165,000 - $250,000 [influenced by your expertise, how the interview goes, and how well you match the role] * Equity: 0.075% - 0.5% * Access to cutting-edge AI infrastructure and resources * Team offsite and opportunities to attend and present at leading industry conferences (across the world) * Learning budget for AI courses, books, and computing resources * Dynamic and intellectually stimulating work environment with a team of talented engineers * Opportunities to shape the direction of the company and leave a lasting impact

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. The Team TRI’s Carbon Neutrality Department within our Human-Centered AI (HCAI) Division blends behavioral science, human-computer interaction research, and machine learning to understand, predict and enable carbon neutral behavior. The Opportunity We are looking for a research scientist who has expertise in and enthusiasm for building AI-backed applications that push the boundaries of human-centered science. This work will involve working closely with experts in AI and behavior science to integrate machine learning models into live applications. The researcher should be comfortable iterating prototypes rapidly as they build toward the design and development of robust systems. The researcher should have a broad range of interests spanning social science, psychology, generative AI, user experience, HCI, and design. The researcher should be able to leverage systems they build to support research projects in all of these domains and lead a research project in at least one of them.Responsibilities • Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that incorporates AI models into the design of interactive systems., • Develop real-time, full-stack, interactive prototypes across a range of modalities, including in-vehicle, web, and mobile., • Conduct basic user experience studies (e.g., heuristic evaluations, cognitive walkthroughs, Wizard of Oz, etc.) on their own., • Work with experts in human behavior to conduct more thorough evaluations of prototypes., • Adjust prototypes to support research goals and integrate extensive logging features., • Work with an engineering team to build out robust, scalable versions of their prototypes., • Support the research goals of others on the team while also advancing their own research agenda., • Stay up to date on the state-of-the-art in AI models, APIs, integration frameworks, and scalable AI model deployment solutions., • Collaborate with scientists in the Carbon Neutrality Department to shape our research program and to communicate research to Toyota partners., • Publish findings in academic journals and/or conferences., • Contribute to the technology transfer of research throughout Toyota.Qualifications, • PhD in Computer Science, HCI/Human Centered Design, Information/Information Management and Systems, or related multidisciplinary fields., • 3+ years of experience prototyping and deploying applied AI projects., • Full-stack web programming proficiency (preference for Python or similar on the backend and JS and JS frameworks and libraries on the frontend, but full-stack libraries such as Next.js/Node/React, Django, Flask, FastAPI, Laravel, etc., or also acceptable)., • Familiarity with at least one AI framework (such as PyTorch, TensorFlow, Hugging Face, or similar)., • Familiarity with at least one method of mobile prototyping (such as mobile web, iOS, or Android, or a cross-platform framework such as React Native, Flutter, or similar)., • Experience with at least one framework supporting AI model hosting and deployment to live applications (such as AWS Sagemaker/Lambda, Google Cloud Vertex AI, or Azure ML, or similar)., • Familiarity with data storage techniques (such as NoSQL/MongoDB, and/or DynamoDB, MySQL, PostgreSQL, or similar)., • Willingness to learn new frameworks., • Some experience in human-centered research (e.g. behavioral data science, computational social science, human-computer interaction), including qualitative and/or quantitative methods such as experiments and user studies., • Broad knowledge of applied machine learning approaches., • Ability to work collaboratively across subject areas and functions., • Strong project management skills and a desire to work on challenging, open-ended research projects., • Demonstrated ability to work autonomously while soliciting feedback., • Strong interpersonal skills and a great teammate., • High interest in research to facilitate carbon neutrality., • Ability to communicate complex concepts clearly across different audiences.Bonus Qualifications, • Familiarity with data science toolkits (e.g., Python Pandas, NumPy, etc.)., • Knowledge of methods to support asynchronous requests (such as Celery, Redis, RabbitMQ, Amazon SQS, or similar)., • Experience with fine-tuning approaches (e.g., LoRA).

Job DescriptionWho are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors, we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article. Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We're in search of a Senior Generative AI Engineer who brings deep expertise in building and deploying large language models and AI systems at scale. This role is for those with extensive experience in developing production-grade AI solutions, particularly in the realm of generative AI and language models. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide. Professional Experience: * 5+ years of hands-on ML/AI experience with at least 1 year of hands-on experience in GenAI/LLM projects * Track record of successfully deploying ML/AI systems in production environments * Experience working with enterprise customers and understanding their unique requirements Technical Skills Required: * Strong programming skills in Python, including expertise in ML stack (Hugging Face, NumPy, Pandas, scikit-learn) * Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures * API development expertise (FastAPI) and production deployment experience * Proven experience with prompt engineering best practices and LLM evaluation metrics Technical Skills Preferred: Infrastructure & Deployment * Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines * Experience with observability and monitoring of LLM applications * Proficiency in model compression, distillation, and deployment at scale Model Development & LLMs * Expertise in semantic search and embedding models * Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems * Advanced model fine-tuning techniques, including LoRA, Prompt Tuning, and Adapter Training Why you should join Altimate AI?Projects You'll Work On: * Advanced AI Agent Architecture: Design and implement sophisticated multi-agent systems that can understand context, make decisions, and enable seamless collaboration between AI and human data professionals. * Large-Scale RAG Systems: Build and optimize retrieval-augmented generation pipelines that can efficiently process and utilize enterprise-scale knowledge bases. * Model Optimization & Deployment: Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models for specific enterprise data tasks, ensuring faster, more accurate performance. * Scalable AI Infrastructure: Develop and optimize cloud-native architectures (AWS, Kubernetes) for large-scale training, inference, and multi-agent orchestration. * Enterprise Security & Compliance: Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards. Impact: * Innovation Leadership: Shape the future of enterprise AI by developing novel approaches to autonomous data operations and AI-driven automation. * Product Development: Direct influence on our flagship products, DataPilot and DataMates, working on cutting-edge features that define the next generation of AI-powered data tools. * Team Growth: Help build and mentor a growing team of AI engineers, shaping our technical culture and practices. * Open Source Contribution: Lead and contribute to our open-source initiatives, establishing yourself as a thought leader in the AI community. * Technical Growth: Opportunity to work with the latest advancements in AI technology and shape the architecture of next-generation AI systems. What We Offer * Competitive salary and equity * Base Salary Range: $185,000 - $250,000 [influenced by your expertise, how the interview goes, and how well you match the role] * Equity: 0.05% - 0.5% * Access to cutting-edge AI infrastructure and resources * Team offsite and opportunities to attend and present at leading industry conferences (across the world) * Learning budget for AI courses, books, and computing resources * Dynamic and intellectually stimulating work environment with a team of talented engineers * Opportunities to shape the direction of the company and leave a lasting impact

Mentor data scientists and data analysts, supporting skill development, code quality, and collaborative problem solving. As the Lead Data Scientist on the Innovation Team, you will be responsible for developing analytical prototypes and models that shape product capabilities and customer solutions.