Member of Technical Staff Salary at Nanosolar Corp BETA

Member of Technical Staff: Data Platform (ML Data Tools & Labeling) Join a well-known tech startup building the first AI platform tailored for enterprise needs, leveraging world-class large language models. We are seeking passionate data engineers to help shape the future of AI by developing cutting-edge ML data tools and pipelines for high-quality training datasets. What You’ll Do Design and build state-of-the-art data tools that transform raw inputs into high-quality training datasets Develop robust workflows and pipelines for data transformation, filtering, analysis, and cleaning Collaborate closely with ML teams to ensure data meets rigorous enterprise-grade AI standards Continuously evaluate and integrate emerging technologies to enhance data curation processes What We’re Looking For Extensive experience in ML environments and a deep understanding of how high-quality data impacts model performance Strong skills in data transformation, filtering, annotation, and labeling Experience

Who we are: Re-founded in March of 2024, they have built a community of kind, innovative, and collaborative professionals dedicated to advancing enterprise AI. Our culture is defined by a commitment to bold ideas and rigorous research, as we work to create technologies that not only perform at the cutting edge but are also safe and ethically sound. The flagship product is an empathetic conversational chatbot built on our 350B+ frontier model and refined through advanced training, fine-tuning, and orchestration techniques. As we scale our enterprise offerings, ensuring that our LLM outputs are both robust and secure becomes paramount. About the Role As a Member of Technical Staff, Research Engineer on our LLM Safety team, you will be a critical force in evaluating and securing the outputs of our large language models. This role is distinctly research/scientist-focused and separate from backend security. Your work will blend advanced fine-tuning methodologies with safety evaluations to d

Who we are: Re-founded in March of 2024, they have built a community of kind, innovative, and collaborative professionals dedicated to advancing enterprise AI. Our culture is defined by a commitment to bold ideas and rigorous research, as we work to create technologies that not only perform at the cutting edge but are also safe and ethically sound. The flagship product is an empathetic conversational chatbot built on our 350B+ frontier model and refined through advanced training, fine-tuning, and orchestration techniques. As we scale our enterprise offerings, ensuring that our LLM outputs are both robust and secure becomes paramount. About the Role As a Member of Technical Staff, Research Engineer on our LLM Safety team, you will be a critical force in evaluating and securing the outputs of our large language models. This role is distinctly research/scientist-focused and separate from backend security. Your work will blend advanced fine-tuning methodologies with safety evaluations to d

Who we are: Re-founded in March of 2024, they have built a community of kind, innovative, and collaborative professionals dedicated to advancing enterprise AI. Our culture is defined by a commitment to bold ideas and rigorous research, as we work to create technologies that not only perform at the cutting edge but are also safe and ethically sound. The flagship product is an empathetic conversational chatbot built on our 350B+ frontier model and refined through advanced training, fine-tuning, and orchestration techniques. As we scale our enterprise offerings, ensuring that our LLM outputs are both robust and secure becomes paramount. About the Role As a Member of Technical Staff, Research Engineer on our LLM Safety team, you will be a critical force in evaluating and securing the outputs of our large language models. This role is distinctly research/scientist-focused and separate from backend security. Your work will blend advanced fine-tuning methodologies with safety evaluations to d

Who we are: Re-founded in March of 2024, they have built a community of kind, innovative, and collaborative professionals dedicated to advancing enterprise AI. Our culture is defined by a commitment to bold ideas and rigorous research, as we work to create technologies that not only perform at the cutting edge but are also safe and ethically sound. The flagship product is an empathetic conversational chatbot built on our 350B+ frontier model and refined through advanced training, fine-tuning, and orchestration techniques. As we scale our enterprise offerings, ensuring that our LLM outputs are both robust and secure becomes paramount. About the Role As a Member of Technical Staff, Research Engineer on our LLM Safety team, you will be a critical force in evaluating and securing the outputs of our large language models. This role is distinctly research/scientist-focused and separate from backend security. Your work will blend advanced fine-tuning methodologies with safety evaluations to d

Shape the Future of Conversational AI About Us We are a public benefit corporation dedicated to harnessing advanced large language models to create an AI platform tailored for enterprise needs, with a particular focus on conversational AI. Our team is composed of friendly, innovative, and collaborative individuals committed to developing impactful AI solutions. About the Role: Research Engineer (Inference) As a key player in our commitment to deploying high-performance models for enterprise applications, you will be part of our inference team, which focuses on ensuring that these models operate efficiently and effectively in real-world scenarios. Research engineers will optimize model inference processes, minimize latency, and enhance throughput while maintaining model performance, all to ensure robust deployment in enterprise settings. Key Responsibilities Deploy and optimize large language models (LLMs) for inference in both cloud and on-premises environments. Utilize model optimizat

TITLE: SR. MEMBER OF TECHNICAL STAFF FLSA STATUS: EXEMPT REPORTS TO: VICE PRESIDENT ENGINEERING SUMMARY: Under the direction of the VP of Engineering, the Sr. Member of Technical Staff is responsible for the mechanical and tribology design and testing of HDD heads with the focus on the Head/Disk Interface reliability – with the focus on the HAMR technology. This position is located in Milpitas, California. ESSENTIAL FUNCTIONS: Acts as HDI/HMS lead for the mechanical design and testing of HDD heads, working closely with teams in TDK/HWY and SAE to address thermo-mechanical design issues. Interact closely with the wafer design and process teams at Headway and the back-end process teams in SAE Validates and tests new designs with the testing team on site Interacts with and makes presentations to various customer groups on HDI programs and products Adheres to all safety policies and procedures as required Performs other duties of a similar nature or level* MINIMUM QUALIFICATIONS: Master’s

Boson AI is an early-stage startup building large language tools for everyone to use. Our founders (Alex Smola,Mu Li), and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for language and beyond. We are seeking research scientists and engineers to join our team full-time in our Santa Clara office. As part of your role, you will work on implementing and training deep neural networks, understanding and interpreting model behavior and aligning models to human values. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. We encourage you to apply even if you do not believe you meet every single qualification. As long as you are motivated to learn and join the development of foundation models, we'd love to chat. Responsibilities: Design and run evaluations to measure model's capabilities. Write efficient and