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Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$259,200—$324,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest's advanced machine learning team. ATG's goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics. At Pinterest our goal is to inspire pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 550M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience. Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest's vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable ___, ___ search refinements, and more recently, ___. We are looking for a Sr Machine Learning Engineer. You'll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you'll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest. What you'll do: • Design and drive projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest. These include but are not limited to Gen AI product evaluations, foundation models safety fine tuning and alignment, and Red Teaming., • Collaborate with other engineering teams (trust and safety, ML Platform, Content Understanding, Search, Homefeed,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest., • Mentor junior engineers on the Responsible AI team and across the company on the R-AI space., • Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations., • Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs and VLMS) and their applications in large-scale Search and Recommender Systems., • Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact., • 4+ years working experience in the engineering teams that build large-scale ML-driven user-facing products, • 1+ years experience leading cross-team engineering efforts., • Publications at top ML conferences, • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring, • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration, • Expertise in scalable realtime systems that process stream data, • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore can be situated anywhere in the United States. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$189,721—$332,012 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Lead a team of highly effective research scientists and research engineers on LLM evals., • Conduct research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions, • Remain deeply involved in the research community, both understanding trends, and setting them, • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience supporting and leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals, • Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$264,800—$331,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale's proprietary research, data, and infrastructure-unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems. What You'll Do • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them. Core Qualifications • 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders., • Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, • Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Full Service Community District focused on high academic achievement while serving the whole child eliminating inequity and providing each child with excellent teachers every day. Oakland Unified has received substantial funding to support Grow Our Own pathway programs including Classified-to-Teache

The English-Literacy Teacher partners with the Middle School Faculty to provide an engaging balanced English Literacy program to our students. PKS Middle School English Literacy Teacher. Middle School English Literacy Teacher.

Therefore the credential requirements for TK teachers are the same as those currently required of kindergarten teachers:. Child Development Teacher Permit issued from the Commission on Teacher Credentialing (CTC). Additionally TK teachers must meet one of the following by August 1 2023:.

Under the supervision of and in cooperation with the Site Administrator the teacher in a collective teaching environment shall plan develop and execute a program for children aged two through five years in harmony with the development level of the children based on the continuing assessment of the c

Full Service Community District focused on high academic achievement while serving the whole child eliminating inequity and providing each child with excellent teachers every day. Oakland Unified has received substantial funding to support Grow Our Own pathway programs including Classified-to-Teache

Full Service Community District focused on high academic achievement while serving the whole child eliminating inequity and providing each child with excellent teachers every day. Oakland Unified has received substantial funding to support Grow Our Own pathway programs including Classified-to-Teache

Manufacturing Operations Analyst- Paint Operations Workplace Coach. Manufacturing Operations Analyst- Experienced Paint Operations Workplace Coach.

Hands-on experience with standard unit operations (STR UFDF Chrom) for cell viral vector productions. Clearly analyze and communicate production results during team discussions while maintaining organized experimental records. We consider qualified applicants without regard to race color religion se

Coordinate and liaise with International Admissions and Enrollment Division of Student Success International Student Services other GGU schools and international student groups and organizations. Student Assistant GGU Worldwide. Student Assistant GGU Worldwide.

Job Description Gan Avraham Preschool is seeking a warm, enthusiastic, and dedicated teacher to join our collaborative early childhood team. We are looking for someone who is passionate about working with young children and interested in building a meaningful career in early childhood education. This is a wonderful opportunity for someone who is eager to learn, grow professionally, and be part of a supportive, reflective teaching community. About Gan Avraham Gan Avraham is a nurturing, play-based preschool rooted in Jewish values, community, and respectful caregiving. We believe in creating meaningful learning experiences through exploration, relationships, and hands-on activities. Our program emphasizes social-emotional development, creativity, and building strong partnerships with families. We Are Looking for Someone Who: • Is enthusiastic about working with young children, • Is interested in pursuing a career in early childhood education, • Is eager to learn, grow, and develop professionally, • Works well as part of a collaborative teaching team, • Enjoys building strong relationships with families, • Communicates clearly, thoughtfully, and professionally, • Brings warmth, patience, and positivity to the classroom, • Is flexible, reflective, and open to feedbackQualifications:, • Experience working with young children preferred but not required, • Coursework or interest in Early Childhood Education is strongly encouraged, • Strong communication and collaboration skills, • A warm, nurturing, and professional demeanorWhy Join Gan Avraham?, • Supportive and collaborative teaching team, • Opportunities for professional growth and mentorship, • Meaningful work in a warm, community-centered environment To Apply: Please send your resume and a brief note about your interest in the position to Powered by JazzHR UF2wcHerOn

Job Description Position Summary The Housing & Employment Specialist plays a dual role in supporting residents to achieve housing stability and economic self-sufficiency. This position combines housing navigation, landlord engagement, and lease-up coordination with workforce development, job placement, and employer partnerships. The Specialist works closely with residents to secure stable housing, gain employment, and build long-term independence, while collaborating with community partners, landlords, and employers to expand opportunities for justice-impacted individuals. Core Responsibilities Housing Stabilization & Navigation • Serve as primary point of contact for residents seeking housing support, • Assess housing needs, barriers, and available resources; develop individualized housing plans, • Coordinate lease-up process, landlord negotiations, and housing applications, • Build and maintain relationships with landlords, property managers, and housing providers, • Identify and secure affordable and supportive housing opportunities, • Assist residents with documentation, applications, and reasonable accommodation requests, • Support residents with move-in planning (deposits, utilities, financial assistance), • Monitor housing stability, assist with lease renewals, violations, and recertifications, • Maintain accurate housing case notes, files, and reporting (including subsidies and assistance tracking), • Support residents with job readiness, placement, and career pathway development, • Assess resident skills, interests, and employment barriers, • Assist with resume development, applications, and interview preparation, • Match residents with employment opportunities, training programs, and certifications, • Develop and maintain relationships with local employers and workforce partners, • Conduct employer outreach, including cold calls and partnership development, • Facilitate job readiness workshops and employment-focused group sessions, • Track job placements, retention, and employment outcomes, • Stay informed on local labor market trends and hiring needs, • Provide holistic, trauma-informed support aligned with housing and employment goals, • Coordinate with case managers, service providers, and support systems, • Provide resource navigation (transportation, financial assistance, referrals), • Maintain timely communication with residents, staff, and partners, • Track and document resident progress in housing and employment plans, • Develop and sustain partnerships with housing providers, employers, and community organizations, • Collaborate on program design, workshops, and service delivery improvements, • Maintain accurate data tracking, reporting, and documentation, • Support workshops related to financial literacy, tenant readiness, and employment skills, • Minimum 3–5 years experience in housing navigation, workforce development, or related field, • Experience working with justice-impacted, formerly incarcerated, or vulnerable populations, • Strong knowledge of housing systems, employment services, and community resources, • Demonstrated ability to build partnerships with landlords, employers, and service providers, • Strong communication, organization, and problem-solving skills, • Ability to manage multiple priorities in a fast-paced environment, • Proficiency in Microsoft Office (Word, Excel, Outlook), • Experience in re-entry, transitional housing, or homelessness services, • Knowledge of local Bay Area housing and workforce systems, • Experience facilitating workshops or group sessions, • Trauma-informed and culturally responsive approach, • Strong relationship-building and advocacy skills, • Ability to balance high accountability with compassion, • Initiative, flexibility, and solution-oriented mindset, • Full-time, in-person role, • Flexible schedule based on resident and program needs, • Benefits may include: health, dental, vision, PTO, and retirement options

Canventa Life Sciences provides scientists with the essential cells required for their life-saving discovery work. We have exciting opportunities for 2 Lab Technicians to join our team and contribute to accelerating the pace of research! In this role, you will be responsible for the creation and maintenance of human induced pluripotent stem cells (iPSC), as well as guiding these cells into differentiated cell types. You will gain hands-on experience with manufacturing iPSC lines and current cell culture techniques, as well as downstream assays including qPCR and flow cytometry. You will also contribute to the overall operational excellence of Canventa Life Sciences by supporting the overall laboratory functioning with a commitment to quality control, safety compliance, and day-to-day maintenance. Please note that this role may require occasional weekend work to maintain cell cultures/perform media changes. Duties and Responsibilities • Maintain and monitor cell quality of iPSC lines and differentiated cells for manufacturing, • Perform and troubleshoot experiments with input from the supervisor, including establishing or improving novel methods and techniques, documenting and analyzing observations, and presenting data, • Provide training on laboratory techniques and product protocols to other staff, as required, • Contribute to the collaborative efforts of the Canventa Lab team, performing other duties as required Knowledge and Qualifications • 2+ years of expertise in primary cell culture, gained via education and/or work experience, • Previous work with human pluripotent stem cells and/or practical experience with a variety of laboratory techniques such as flow cytometry, qPR, and microscopy is an asset, • Excellent communication and collaboration skills with a strong attention to detail, • Ability to work independently with strong critical thinking and analytical problem-solving skills is required; experience or exposure to quality control methods is considered an asset, • Growth-oriented mindset with interest in learning new skills and technologies

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: Corporate Finance Expert Type: Contract Compensation: $100/hour Location: Remote Duration: Minimum four weeks Commitment: 10 hours/week Role Responsibilities • Evaluate the accuracy of financial reporting to ensure compliance and precision in AI model outputs., • Analyze complex financial data to enhance the depth and rigor of AI-generated content., • Provide structured feedback to AI research teams to improve training data quality and performance., • Develop benchmarks for assessing AI-generated financial analysis tasks and solutions., • Collaborate with subject matter experts to ensure consistency and relevance across datasets. Must-Have • At least 2 years of experience in corporate finance., • Hourly contractor, • Upload resume, • AI interview based on your resume, • For details about the interview process and platform information please check: #hiringmercor Employment Type : Full Time Experience: years Vacancy: 1

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: Special Projects Software Engineers Type: Contract Compensation: $100$200/hour Location: Remote Role Responsibilities • Collaborate with the Mercor team on special projects to enhance software solutions., • Evaluate and improve AI model training and performance., • Develop innovative solutions using cutting-edge technologies., • Work independently and asynchronously to meet project deadlines. Must-Have • Proven experience in software engineering., • Upload resume, • AI interview based on your resume, • For details about the interview process and platform information please check: #hiringmercor Employment Type : Full Time Experience: years Vacancy: 1

About the Team OpenAIs mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the worlds most exceptional talent under one roof to push the boundaries of whats possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organizationworking side by side with our research staff to deeply understand evolving priorities build trust and strategically shape the future of OpenAIs talent. About the Role Youll focus on identifying and engaging worldclass AI researchers and scientists who are advancing the frontier of machine learning and artificial this role you will drive topoffunnel sourcing efforts build thoughtful outreach strategies and cultivate longterm relationships with highly specialized talent across academia and industry to support our Research teams hiring ambitions. Youll work across a range of deeply technical and researchoriented roles mapping emerging fields identifying leading contributors and proactively engaging experts in their respective domains. Youll partner closely with recruiters hiring managers and research leaders to surface exceptional candidates generate strong pipelines for niche searches and continuously refine sourcing strategies to help our research teams grow and scale. Your Responsibilities: * Build highly targeted searches that deliver candidate profiles with precision. * Craft thoughtful approaches to candidate outreach that will engage even the most passive talent and cultivate relationships with high priority targets over the long-term. * Develop and utilize creative strategies to discover non-traditional research-adjacent and/or up and coming talent. * Partner closely with hiring managers across OpenAI to develop customized sourcing strategies and advise them on the market. * Take a highly organized and data driven approach to candidate tracking and funnel metrics. * Represent OpenAI and engage with candidates at conferences and events. Were Seeking: * Significant experience sourcing specialized Engineering and/or AI talent across a range of highly technical domains. * Deep interest in AI research and a desire to engage directly with global research communities. * Demonstrable success in sourcing and hiring top technical talent at a premier tech company and/or high-growth startup * Ability to drive multiple complex searches in parallel while maintaining a high quality bar and exceptional stakeholder candidate experience. * A passion for the research and mapping components of sourcing; its a long game. Workplace & Location This role can be based in our San Francisco New York or Seattle offices or remotely in the US. When applying let us know which location(s) work for you. If youre joining us in person we offer relocation support and follow a hybrid schedule: three days a week in the office with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connectionwith height-adjustable desks conference rooms phone booths well-stocked kitchens full of snacks and drinks three in-house prepared meals daily outdoor space for working and socializing wellness rooms private bike storage and more. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity. We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic. For additional information please see ___

At San Francisco University High School we believe that the deepest learning requires collaboration among people who embody a diversity of backgrounds beliefs experiences and order to build and sustain a community that is comprised of a wide range of social and cultural identities we must continually engage in furthering our self-knowledge equity literacy and ability to communicate effectively across differences. We challenge ourselves to do this work on both a personal and institutional level recognizing that our community is part of a larger and more complex world. San Francisco University High School is a college preparatory school. We seek teachers who are thoroughly educated in their disciplines who are devoted to the love of learning and who will contribute to the schools invigorating intellectual climate. Throughout the school we seek to hire adults who are stimulating and supportive in their work with students and who share our belief in the moral and educational value of diversity. Requirements We are seeking a part-time art instructor who is qualified to teach two sections of introductory painting and one section of introductory drawing in the Fall term; two sections of intermediate painting and one section of intermediate drawing in the Spring term. Additional responsibilities may include mentoring a designated group of high school students as part of the UHS mentoring program. This position collaborates and works within our diverse Visual Arts program with practicing artists who teach mediums ranging from ceramic sculpture to darkroom photography. Candidates should be comfortable collaborating on curriculum and assessment and have the requisite technical expertise to teach students with no experience in any visual arts medium. Prior high school teaching experience is desirable. We are especially interested in candidates who are practicing artists and have familiarity with a variety of mediums. San Francisco University High School is a college preparatory school. We seek teachers who are thoroughly educated in their disciplines who are devoted to the love of learning and who will contribute to the schools invigorating intellectual climate. Throughout the school we seek to hire adults who are stimulating and supportive in their work with students and who share our belief in the moral and educational value of diversity. To apply for this position please prepare a resume cover letter and a portfolio including a sample syllabus and lesson plans sample graded student work and anything else you would like to include that can give the search committee a sense of your teaching. Please submit all materials using the online application. Non-Discrimination San Francisco University High School is an equal opportunity employer and makes employment decisions on the basis of merit. School policy prohibits unlawful discrimination based on race color creed gender religion marital status registered domestic partner status age national origin or ancestry physical or mental disability medical condition including genetic characteristics sexual orientation or any other consideration made unlawful by federal state or local laws. Salary Salary is determined by years of relevant experience. Current full-time instructor salaries run from $83995.00 (Step 1) - $156757.00 (Step 40). Salary Description$83995.00 (Step 1) - $156757.00 (Step 40) Required Experience: IC Employment Type : Full-Time Experience: years Vacancy: 1 Yearly Salary Salary: 83995 - 156757

Job Description This is a paid, part-time role (NOT an internship / NOT a volunteer position). This position is a compensated instructional appointment and is not part of any internship or trainee program. This role requires approximately 4 hours per week of instructional work and is classified as a part-time position. Term: Begins September 8, 2026 Commitment: Minimum 6 hours per week Modality: Hybrid (online and on-campus) Location: San Francisco, California Institution: San Francisco Film School San Francisco Film School (SFFS) is looking for qualified Teaching Assistants (TAs) to support music production and audio technology courses during the Fall 2026 semester and beyond. This role is ideal for early-career professionals or practitioners interested in teaching, mentoring students, and supporting hands-on, production-based learning environments. Position Summary Teaching Assistants assist students and instructors in hybrid courses that combine online learning with on-campus, hands-on production activities. TAs play an essential role in facilitating learning, offering technical and academic support, and ensuring smooth course operations. This is a paid, part-time, non-faculty instructional support position. Compensation: $25 hourly Responsibilities: Essential Duties & Responsibilities • Facilitate small-group discussions, workshops, or lab activities during scheduled class sessions., • Provide technical assistance with audio equipment, software, and course materials., • Offer tutoring or student support during designated office hours or scheduled support times., • Assist with administrative and instructional tasks, including distributing materials and preparing classrooms or production spaces., • Provide feedback on draft assignments or practice exercises., • Support student productions on campus as needed., • Coordinate with instructors and school administration regarding attendance tracking and student support., • Attend required meetings, including faculty or instructional support meetings. Schedule & Modality Expectations • TAs must be available for both online and on-campus classes, depending on course needs., • On-campus presence is required for classes and productions scheduled at the San Francisco campus., • Professional experience in music production, audio technology, or a closely related technical/creative media field., • Strong working knowledge of professional audio workflows, tools, and equipment., • Ability to support students in a collaborative, production-focused learning environment., • Reliable communication skills and professional conduct when working with students, faculty, and staff. Preferred Qualifications • Bachelor’s degree in Sound Arts, Audio Technology, Music Production, Creative Media, or a closely related field., • Prior teaching, tutoring, mentoring, or instructional support experience., • Demonstrated ability to explain technical concepts clearly to students with varying levels of experience., • A portfolio or reel demonstrating professional-quality work. This is a paid, part-time role (NOT an internship / NOT a volunteer position). About Company San Francisco Film School was founded in 2005 and is a private, accredited college offering career-focused education in filmmaking and creative media. Known for its production-based curriculum and faculty of industry practitioners, the School emphasizes hands-on learning that connects creative practice with professional standards. San Francisco Film School serves students pursuing careers across the entertainment industry and continues to expand its academic offerings, including audio/music production and interdisciplinary creative AI, to support the next generation of creators.

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, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! • Build, profile and optimize our training and inference framework, • Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation, • Research and integrate state-of-the-art technologies to optimize our ML system, • Strong excitement about system optimization, • Experience with multi-node LLM training and inference, • Experience with developing large-scale distributed ML systems, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills and the ability tooperate in a cross functional team environment, • Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$189,600—$237,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Full Service Community District focused on high academic achievement while serving the whole child eliminating inequity and providing each child with excellent teachers every day. Oakland Unified has received substantial funding to support Grow Our Own pathway programs including Classified-to-Teache

Full Service Community District focused on high academic achievement while serving the whole child eliminating inequity and providing each child with excellent teachers every day. Oakland Unified has received substantial funding to support Grow Our Own pathway programs including Classified-to-Teache

Therefore the credential requirements for TK teachers are the same as those currently required of kindergarten teachers:. Child Development Teacher Permit issued from the Commission on Teacher Credentialing (CTC). Additionally TK teachers must meet one of the following by August 1 2023:.

Ready to make an impact in your community while getting paid Become an elementary substitute teacher with Kokua in Oakland and create powerful moments that shift students perception of whats possible. Help solve the teacher shortage crisis in America. Founded by a former teacher Kokua has been conne

Manufacturing Operations Analyst- Experienced Quality Workplace Coach. Manufacturing Operations Analyst Experience Quality Workplace Coach. Observe and assess employee performance during inspection operations providing constructive feedback and guidance to enhance skills and efficiency.

Manufacturing Operations Analyst- Experienced Mechanical Workplace Coach. Manufacturing Operations Analyst- Experienced Mechanical Workplace Coach.

Headquartered in San Francisco our investors include.Create tasks and deliverables regarding common requests within your professional domain.Diagnose and solve real issues in.Contribute expertise to cutting-edge.Collaborate asynchronously with teams to enhance.Ensure flexible hours to accommodate pr

Oakland Unified has received substantial funding to support pathway programs including tuition and debt relief for selected middle school teachers Special Education teachers and for pathway programs including Classified-to-Teacher and the After-School-to-Teacher programs. Full Service Community Dis

At KIPP Public Schools Northern California our English Teachers bring our academic and cultural visions to life. Teachers engage in ongoing reflection on identity equity and systemic impact and we collectively examine our practices data and culture to ensure our schools serve all students with excel

Manufacturing Operations Analyst- Experienced Electrical Workplace Coach. Manufacturing Operations Analyst- Experienced Electrical Workplace Coach.

Headquartered in San Francisco our investors include.Author review and annotate technical tasks to evaluate.Produce original problem sets grounded in experimental designs statistical plots and behavioral data figures.Write reference solutions and apply structured quality checks.Provide clear structu

Ref: PCN11459 Learn more about our district at our next hiring___

Position Summary • Teach with Purpose: At KIPP Public Schools Northern California our Multiple Subject Teachers bring our academic and cultural visions to life. You will design engaging lessons use data to guide instruction and create a classroom where every student learns and thrives. You will also integrate Social Emotional Learning and Restorative Practices to build a joyful inclusive and safe community., • Collaborate and Grow: You will work closely with your schools Leadership Teamincluding your Instructional Coachto continuously strengthen your teaching practice. Through weekly meetings coaching and feedback you will receive the support needed to grow as an educator and leader., • Commit to Equity and Anti-Racism: We are committed to building an anti-racist community. Teachers engage in ongoing reflection on identity equity and systemic impact and we collectively examine our practices data and culture to ensure our schools serve all students with excellence and dignity. Qualifications Experience: • Experience teaching students with similar demographics to our KIPP Northern California community (preferred) Education and Certification: • Bachelors degree from a regionally accredited institution (), • Meet one of the following eligibility requirements ():, • Hold a valid teaching credential in the subject of your desired role or, • Be eligible for a General Education Limited Assignment Permit Provisional Internship Permit or Short Term Staff Permit (CPR certification by American Heart Association or American Red Cross is a prerequisite for this permit) Skills and Mindsets: • Deep commitment to KIPPs mission and vision, • Dedication to anti-racist culturally responsive teaching, • Belief that all students can achieve at the highest levels, • Strong content knowledge and instructional skills, • Ability to build meaningful relationships with students families and colleagues, • Proficiency in Google Suite (Docs Sheets Slides Classroom etc.) and openness to learning new educational technologies (e.g. Zoom Nearpod) Essential Responsibilities • Develop and implement daily and long-term lesson plans aligned with KIPPs academic vision, • Analyze student data regularly to inform instruction and support student growth, • Foster a positive inclusive and rigorous classroom environment grounded in Restorative Practices and SEL, • Use culturally responsive classroom management strategies to ensure safety belonging and high expectations for all students, • Communicate proactively with families colleagues and leaders to build strong partnerships, • Engage fully in weekly professional development and Communities of Practice, • Maintain accurate and timely records including attendance grades and behavior data Physical Mental and Environmental Demands Physical: Ability to navigate school and classroom settings. Ability to access and utilize technology. Occasional lifting/carrying of equipment 1-20 lbs. Physical agility to move self in various positions in order to execute duties effectively which may include kneeling walking pushing/pulling squatting twisting turning bending stooping and reaching overhead. Mental: Stress of deadlines and normal work standards ability to analyze problems and generate alternatives work with interruptions concentrate for long periods of time read calculate perform routine math problems memorize and recall objects and people. Environmental: School and classroom environment subject to constant interruptions and distractions. Adhere to KIPPs health and safety guidelines as outlined by the CDC CDE and public health agencies recommendations. ClassificationThis is a full-time exempt position on a school year calendar cycle located at our school sites. About KIPP Public Schools Northern CaliforniaWe are a thriving nonprofit network of free public charter schools open to all students. At KIPP we believe all children should grow up free to create the future they want for themselves and that schools can and should be a critical factor in making that vision a reality. Together with families and communities we create joyful academically excellent schools that prepare students with the skills and confidence to pursue the paths they choosecollege career and beyondso they can lead fulfilling lives and build a more just world. Our 7000 elementary middle and high school students across East Palo Alto Oakland San Francisco San Lorenzo San Jose Redwood City and Stockton represent the rich diversity of our region: 79% qualify for free or reduced price lunch 23% are multilingual learners and 10% receive special education services. We strive to build a team of educators whose backgrounds and experiences reflect those of our students and families. Compensation KIPP Northern California is dedicated to you and your familys well-being! We offer a competitive salary as well as a comprehensive benefits package including medical dental vision and transportation benefits. Our salaries are benchmarked annually against local district and charter schools to ensure competitiveness. Salary step scales are available here:

This posting is for candidates who would like to be considered for any and all.This is not an advertisement of a current vacancy at OUSD but rather an opportunity to submit applications to be screened for anticipated vacancies.Please also apply to any site specific positions you may be interested in

Must be a current student enrolled at GGU.

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