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Secure Your Classroom Role Before Summer Break! Zen Educate is looking for Para Educators. If you're passionate about supporting students with special needs and want a full-time role where you can make a real impact, this could be your next step. These roles support students with a range of special education needs, including mild, moderate, and severe needs. Talk to a recruiter today and see how we can help you find the perfect role. As a Teaching Assistant, you'll actively support lead teachers in delivering engaging lessons, working with students individually or in small groups to reinforce learning concepts and foster academic progress. Responsibilities • Behavioral Intervention: Implement individualized Behavior Intervention Plans (BIPs) for students with autism and emotional/behavioral needs. Use evidence-based strategies including positive reinforcement, de-escalation techniques, and proactive behavior supports to help students regulate emotions and develop coping skills., • Targeted Support: Provide one-on-one or small group behavioral support, tailoring interventions to each student’s needs. Support students in building self-regulation, social-emotional skills, and classroom engagement., • Classroom Collaboration: Work closely with teachers and behavior specialists to create a structured, supportive learning environment. Support classroom management by reinforcing expectations, modeling positive behavior, and helping students stay on task., • Progress Monitoring: Track and document behavioral data consistently, including incidents, triggers, responses, and outcomes. Use this data to inform adjustments to BIPs and support team decision-making., • Team Communication: Partner with special education staff, behavior analysts, and families to maintain a unified approach to student support. Share observations and collaborate on strategies to ensure consistency across environments., • Personal Care: Support students with daily routines such as toileting, feeding, or mobility. Required Qualifications/Experience: • High School Diploma, • Experience supporting individuals with Special Educational Needs, • Experience providing personal care support, • Excellent communication and interpersonal skills, • Ability to stay calm and patient in challenging situations, • US Work Authorization - Zen Educate cannot provide sponsorship for an employment visa or relocation assistance at this time., • English proficiency, • Passion for supporting students, • CPR and First Aid (certification will be provided for otherwise qualified candidates) Physical Requirements: • Comfortable being on your feet and moving around the classroom throughout the day, • Able to lift up to 20 lbs and safely assist students when needed (kneeling, bending, quick response), • Additional physical requirements may be requested during your application process Preferred Qualifications/Experience • Experience supporting children with autism, complex or severe emotional needs, or in roles such as ABA therapy, • Experience in special education, particularly with moderate to severe behaviors, • Bachelor’s Degree, • Knowledge of behavioral intervention strategies, • Additional training in behavioral techniques Salary Pay: $25 - $29 per hour, paid weekly. Schedule: Monday to Friday, within hours of 7:30 am - 3:00/4:30 pm (no weekend work). Benefits: • Weekly pay, • Paid Sick Leave, • 401K (certain eligibility criteria) Ready to get started? Connect with a recruiter today to explore open opportunities. About Zen Zen Educate is redefining how educators find their next role. Our platform streamlines the job search process, making it faster and easier for you to find opportunities that align with your skills, goals, and values - all with personalized support. Why Zen Working with Zen Educate means more than just finding a job, it’s about building a career. We help you find roles that fit your experience today while preparing you for even greater opportunities tomorrow. Ref: SFTAZA-Apr26

Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.Experts contribute directly to how A

Research Engineer, Foundation Models About the Opportunity We are seeking a Research Engineer to help advance the next generation of large-scale AI systems. This role sits at the intersection of research and engineering, focusing on the development, training, evaluation, and deployment of state-of-the-art machine learning models. You will work across the full model lifecycle, from building large-scale datasets and training infrastructure to experimenting with new model architectures and inference techniques. This is an opportunity to contribute directly to cutting-edge work in large language models, reinforcement learning, long-context systems, and scalable AI infrastructure. Responsibilities • Develop and optimize training, evaluation, and deployment pipelines for large-scale AI models, • Improve inference efficiency, latency, and throughput across advanced model architectures, • Design and maintain research and production frameworks used for model development, • Train and scale foundation models across large distributed GPU environments, • Build and manage large-scale data processing, collection, and curation pipelines, • Create high-quality datasets to improve model performance and targeted capabilities, • Research, prototype, and benchmark novel model architectures and training approaches, • Contribute to experimentation in areas such as reinforcement learning, long-context modeling, reasoning systems, and inference optimization, • Collaborate closely with researchers and engineers to transition ideas from experimentation to production Qualifications Required • Strong software engineering and systems development experience, • Deep understanding of modern machine learning and deep learning techniques, • Experience training, fine-tuning, or evaluating large language models, • Familiarity with distributed computing and large-scale infrastructure, • Experience building and maintaining data pipelines and ETL workflows, • Ability to design experiments, analyze results, and iterate on research directions, • Strong problem-solving skills and a research-oriented mindset Preferred • Experience working with large GPU clusters and distributed training frameworks, • Background in model optimization, inference systems, or AI infrastructure, • Contributions to machine learning research, open-source projects, or published work, • Experience with reinforcement learning, long-context models, or large-scale data systems What We Value • Ownership and accountability, • Strong collaboration and communication skills, • Bias toward execution and practical problem-solving, • Intellectual curiosity and continuous learning, • High standards for technical excellence and product quality, • Ability to thrive in fast-moving, high-impact environments Compensation & Benefits • Competitive base salary and equity package, • Comprehensive medical, dental, and vision coverage, • 401(k) program with employer matching, • Flexible paid time off policy, • Relocation assistance and visa sponsorship, where applicable, • Opportunity to work alongside a highly talented and mission-driven team, • Access to cutting-edge infrastructure and research resources Keywords: Machine Learning, Artificial Intelligence, Deep Learning, Large Language Models, LLMs, Foundation Models, Generative AI, Applied AI, AI Research, Research Engineering, Model Training, Distributed Training, Pretraining, Fine-Tuning, Post-Training, Reinforcement Learning, RLHF, Reinforcement Learning from Human Feedback, Inference Optimization, Model Serving, Model Evaluation, Long Context Models, Reasoning Models, AI Infrastructure, GPU Clusters, High Performance Computing, HPC, Distributed Systems, CUDA, PyTorch, JAX, TensorFlow, Neural Networks, Transformer Models, Retrieval Augmented Generation, RAG, Synthetic Data, Data Engineering, Data Pipelines, ETL, Data Processing, Web Crawling, Data Collection, Feature Engineering, MLOps, ML Systems, Scalable Systems, Parallel Computing, Model Architecture Design, Experimentation, Research Scientists, Research Engineers, Software Engineering, Backend Engineering, Performance Optimization, Production ML, AI Agents, Agentic AI, Autonomous Systems, Prompt Engineering, Multi-Agent Systems, Vector Databases, Embeddings, Quantization, Model Compression, Infrastructure Engineering, Cloud Computing, Kubernetes, Python, C++, Open Source AI, Frontier Models, Applied Research, Statistical Learning, Computer Science, Algorithms, Large Scale Computing, Model Alignment, AI Safety, Training Infrastructure, Compute Optimization, Inference Systems, Foundation Model Research, Machine Learning Infrastructure, AI Platform Engineering, Systems Engineering, Data Infrastructure, Production Systems, Scalable AI Systems, Research & Development, Advanced AI Systems, Emerging Technologies, Distributed Computing, GPU Optimization, AI Product Development,

Title: Founding AI Engineer (Research & Systems) Target: PhDs & Research Masters from Stanford, MIT, Berkeley, CMU focused on AI, ML, NLP, Agents. Location: San Francisco, CA | On-Site Compensation: $160K - $250K | 0.8% - 2.0% Equity Visa Sponsorship: Available (H1B, OPT, F1, TN, O1) About Us We are a seed-stage startup, backed by Khosla Ventures and leading AI researchers, building the next generation of reasoning systems for AI agents. Our mission is to move beyond simple RAG and chain-of-thought, creating models that can dynamically plan, execute, and learn in complex environments. Our technical founder is a former Research Lead from Google DeepMind. The Role We are looking for our first AI hire to own the research and implementation of our core agentic models. You will be responsible for turning groundbreaking research papers into robust, scalable systems. This is a rare opportunity to work on cutting-edge problems like long-horizon planning, tool-use optimization, and self-improving agents, with the compute resources to test your ideas at scale. Ideal Profile • Currently pursuing or recently completed a PhD/MSc in Computer Science, AI, or a related field., • Publication record at top conferences (NeurIPS, ICML, ICLR, ACL) is a huge plus., • Deep, hands-on experience with PyTorch, transformer architectures, and reinforcement learning., • Experience with frameworks like LangChain, LangGraph, or AutoGen is preferred, but a strong fundamental understanding of what they abstract is more important., • You read ML papers and immediately think about the implementation details and edge cases., • You are passionate about both theoretical rigor and shipping code that works. Apply if you've done research in: Multi-agent systems, RLHF, reasoning, planning, memory architectures, or program synthesis.

Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.Experts contribute directly to how A

Job DescriptionBenefits: • Competitive salary, • Health insurance, • Opportunity for advancement, • Training & development Education Behavior Consultants (EBC) is looking for a strong Registered Behavior Technician (RBT) to join our team in the Berkeley area. We are especially looking for someone who is confident, proactive, and experienced supporting students with behavioral needs in home and school settings. This role is a great fit for someone who can walk into a classroom, build rapport, stay calm under pressure, collaborate well with school staff, and provide meaningful behavioral support with professionalism and consistency. We are looking for someone who is not only clinically solid, but also a true self-starter. Someone who does not wait to be told every next step, but can think critically, communicate clearly, and jump in with purpose. At EBC, we care deeply about doing meaningful work and supporting our staff well while they do it. We value compassion, integrity, collaboration, growth, and high-quality care for the students, families, and school teams we serve. What youll do: • Provide direct 1:1 behavioral support to students in school settings, • Implement behavior intervention plans and support strategies with consistency, • Use reinforcement, prompting, behavior reduction strategies, and skill-building techniques in real time, • Collect accurate session data and complete documentation in a timely manner, • Collaborate with school staff, supervisors, and interdisciplinary team members, • Support students with regulation, communication, transitions, classroom participation, and social/emotional needs, • Maintain professionalism in fast-paced and sometimes unpredictable school environmentsWhat were looking for:, • Experience working with students with behavioral needs in a school setting, • RBT credential preferred, • Experience implementing behavior plans and working under BCBA supervision, • Strong communication and collaboration skills, • Ability to stay composed, flexible, and solutions-focused, • A high level of professionalism, accountability, and follow-through, • Someone who is warm, coachable, and team-oriented, but also able to work independently and take initiativePreferred qualifications:, • Current RBT certification, • Experience supporting students in public school or special education settings, • Familiarity with behavior intervention plans, data collection, and classroom-based support, • Experience working with a range of behavioral presentations, including students with more intensive support needsWhy EBC: At EBC, we believe great staff deserve great support. We work hard to create a culture that is collaborative, growth-minded, and genuinely human. We want team members who care about kids, care about quality, and want to keep learning. In return, we provide strong supervision, meaningful mentorship, and a team that truly works together. If you are looking for a school-based role where your experience matters, your voice matters, and your work can make a real impact, wed love to hear from you.

management consulting methodologiesstrategic analysisbusiness process improvementorganizational transformationcase study developmentbusiness frameworkswritten communicationverbal communicationanalytical skillsproblem-solvingremote team collaborationattention to detailindependent workclient-ready deliverablesmentoringbusiness transformationdigital transformationai-driven business modelsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Management consultant Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Provide expert insights on management consulting methodologies, strategic analysis, and business transformation practices., • Review, assess, and refine complex business scenarios, documents, and case studies to ensure accuracy and relevance., • Deliver high-quality, detailed written and verbal feedback to help improve AI system outputs and reasoning capabilities., • Collaborate remotely with the customer’s team to support the training and evaluation of AI models with real-world management consulting perspectives., • Leverage your advanced experience to identify gaps, propose improvements, and ensure alignment with industry best practices., • Utilize strong communication skills to clearly articulate recommendations and process flows in both written and spoken formats., • Continually stay updated on management consulting trends to provide current, impactful input into the AI training process. Required Skills and Qualifications: • Minimum of 4+ years’ experience as a management consultant, ideally with a top-tier consulting firm., • Proven expertise in strategic projects, business process improvement, and organizational transformation., • Exceptional written and verbal communication skills with high attention to detail., • Ability to synthesize complex problems and deliver practical, actionable insights., • Strong analytical skills and experience working with cross-functional teams in remote environments., • Experience developing or reviewing case studies, business frameworks, and client-ready deliverables., • Self-motivation and discipline required for high-quality independent work. Preferred Qualifications: • MBA or advanced degree in business, management, or a related field., • Familiarity with digital transformation initiatives or AI-driven business models., • Demonstrated experience mentoring or training consultants or business professionals.

$40 - $110/hourpayCommercial ContractsContract RedliningEmployment LawStructured FinancePriavte EquityMergers and AcquisitionsSaaS MSARegulatory ComplianceData PrivacyAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Legal Expert Job Type: Contract (Part-time) Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Review, analyze, and redline commercial contracts to ensure accuracy and compliance with relevant laws and business objectives., • Provide expert input on matters relating to employment law, structured finance, private equity, and mergers and acquisitions., • Evaluate and advise on SaaS Master Service Agreements (MSAs) to identify areas of risk and recommend improvements., • Interpret complex regulatory requirements and shape guidelines for compliance within evolving legal landscapes., • Assess data privacy policies and practices in accordance with international standards and regulations., • Collaborate closely with multidisciplinary teams to clarify legal concepts and deliver clear, actionable written feedback., • Contribute high-quality insights that enhance the effectiveness of AI models in understanding legal documents and scenarios. Required Skills and Qualifications: • Active Bar membership and in good standing., • Minimum of 3 years of experience practicing law, with a demonstrable track record in commercial contracts, employment law, and structured finance., • Deep knowledge of private equity, mergers and acquisitions, and regulatory compliance., • Proficiency in contract redlining and negotiation, with attention to detail and accuracy., • Hands-on experience reviewing and advising on SaaS MSAs and data privacy matters., • Exceptional written and verbal communication skills, with the ability to distill complex legal concepts for diverse audiences., • Strong analytical and problem-solving skills, demonstrating sound legal judgment. Preferred Qualifications: • Experience working with or advising technology-driven organizations., • Familiarity with international regulatory frameworks and multi-jurisdictional transactions., • Previous involvement in AI, legal technology, or knowledge transfer initiatives.

LegalContract Review & NegotiationCase AnalysisRisk AssessmentCorporate LawRegulatory ComplianceLitigation SupportLegal ResearchDue DiligenceDispute ResolutionConfidentiality & EthicsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Legal Specialist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Conduct thorough contract review, drafting, and negotiation to optimize business outcomes while managing risk., • Analyze cases and perform in-depth legal research to provide actionable insights and recommendations., • Support litigation and dispute resolution by preparing documentation and assisting internal and external counsel., • Assess regulatory compliance and assist with due diligence for corporate matters, mergers, and acquisitions., • Design system prompts and rubrics for legal applications, engaging in multi-turn conversations with agents to ensure task accuracy and coherence., • Uphold the highest standards of confidentiality and professional ethics in all legal processes and communications., • Collaborate across teams to build and enhance legal tools or applications, leveraging your industry expertise. Required Skills and Qualifications: • Proven expertise in legal principles, corporate law, and regulatory compliance., • Strong contract review and negotiation abilities across a variety of legal domains., • Demonstrated experience in case analysis, risk assessment, and due diligence., • Hands-on experience in litigation support and dispute resolution., • Exceptional written and verbal communication skills, with a keen attention to detail and clarity., • Deep commitment to confidentiality, ethics, and integrity in all legal matters., • Track record of building or contributing to legal applications, tools, or systems. Preferred Qualifications: • Experience designing legal-focused conversational agents, rubrics, or AI-driven workflows., • Background in developing digital legal solutions or productizing legal expertise., • Ability to manage complex multi-turn conversations and system prompt design.

$6 - $6/hourpayIMUAttention to DetailVideo CaptureAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. We’re looking for remote contributors to help support the development of next-generation AI and robotics systems through smartphone-based video and motion data collection. This is a flexible, paid remote opportunity where you’ll record simple real-world activities using your smartphone while following clear recording guidelines. No advanced technical background is required, but attention to detail and consistency are important. • Record short videos of physical activities using your smartphone, • Capture synchronized motion and video data during recording sessions, • Follow simple step-by-step recording instructions and quality guidelines, • Submit a minimum of 10 hours of approved video data per week, • Communicate with the team regarding recording quality or task instructions, • Complete a quick onboarding and device compatibility check, • Access to a compatible smartphone:, • iPhone 11 or newer, • Google Pixel 6 or newer, • Samsung Galaxy S21 or newer, • Ability to use a smartphone head strap for hands-free recording within 48 hours of onboarding, • Comfortable performing repetitive movement-based recording tasks, • Reliable internet connection and communication skills, • Strong attention to detail and ability to follow structured instructions, • Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration., • Paid per minute of approved video submitted, • Compensation varies based on output and task completion speed, • Minimum submission requirements apply, • Videos must be at least 2 minutes long, • Weekly minimum submission target: 10 hours If you don’t already own a head strap, selected contributors will receive a sign-up bonus to help cover the cost. • Fully remote and flexible, • Work from home using your smartphone, • Flexible schedule alongside studies or current work, • Fast onboarding process, • Contribute directly to AI and robotics development We move quickly and typically finalize onboarding within 48 hours for selected candidates.

$50 - $120/hourpayGodotGame DevelopmentAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Godot Game Engine Expert Job Type: Contract Location: Remote Job Summary Join our customer's team as a Godot Game Engine expert, where you will have the opportunity to work on cutting-edge interactive experiences in a dynamic and collaborative environment. You will leverage your deep knowledge of Godot to drive the technical direction of game projects, ensuring robust architecture and seamless gameplay. This position is ideal for professionals passionate about creating high-quality games and excelling in both communication and technical domains. Key Responsibilities • Design, implement, and optimize gameplay systems and features using the Godot Game Engine., • Collaborate closely with designers, artists, and other developers to deliver polished and engaging player experiences., • Architect and maintain clean, scalable, and well-documented codebases., • Troubleshoot and resolve complex technical issues throughout the development lifecycle., • Contribute to the evaluation and selection of technical solutions and tools related to the Godot ecosystem., • Mentor and support team members in best practices, Godot workflows, and robust coding standards., • Participate actively in sprint planning, code reviews, and quality assurance processes. Required Skills and Qualifications • Deep expertise with the Godot Game Engine (GDScript, C#, or VisualScript)., • Proven track record of shipping commercial or high-quality independent titles using Godot., • Strong understanding of 2D/3D game development pipelines, asset integration, and performance optimization., • Ability to communicate complex technical concepts clearly in both written and verbal form., • Experience collaborating in a remote, distributed team environment., • Solid problem-solving abilities and passion for learning new technologies., • Demonstrated ability to produce clean, maintainable, and efficient code. Preferred Qualifications • Experience contributing to open-source Godot projects or plugins., • Background in gameplay, UI/UX, or multiplayer networking systems., • Exposure to agile development methodologies and tools.

$20 - $70/hourpayKritaIllustrationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Krita Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities • Develop full-fledged digital illustrations in Krita, from initial sketch to final polish, while adhering to best practices and structured layer management., • Perform hour-long, live illustration workflows in a virtual machine, capturing each step of your process for AI training purposes., • Demonstrate and articulate your creative decision-making, effectively communicating both written and verbally with the team., • Collaborate closely with project coordinators to ensure workflows meet high standards and align with AI research objectives., • Utilize advanced Krita features and tools, sharing insight into professional techniques and methodologies., • Provide clear documentation and feedback on your workflows to support continuous improvement of AI systems., • Uphold a high level of organization, structure, and quality across all artwork produced. Required Skills and Qualifications • Demonstrated expertise in Krita with a professional or extensive freelance portfolio showcasing complete illustration projects., • Mastery in digital illustration and structured layer-based workflows from rough sketch to refined artwork., • Strong written and verbal communication skills, with a focus on articulating creative processes and feedback., • Hands-on experience in using Krita’s advanced features, brushes, and layer management tools., • Ability to consistently work independently within virtual environments and meet project goals., • Meticulous attention to detail and a commitment to producing polished, high-quality art assets., • Proven ability to document and communicate workflow steps clearly for technical and non-technical audiences. Preferred Qualifications • Previous experience training or collaborating with AI or machine learning teams on creative projects., • Background in art education or content creation around digital illustration tools., • Familiarity with recording and explaining digital illustration workflows for educational or research purposes.

$55 - $70/hourpayCommercial InsuranceSpecialty InsuranceCommercial P&CUnderwritingLiability CoveragePolicy InterpretationInsurance ComplianceCoverage AnalysisInsurance OperationsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Insurance Underwriter – Excess & Specialty Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Leverage your extensive underwriting expertise to evaluate complex commercial and specialty risk scenarios in the US insurance market., • Analyze, interpret, and structure coverage for excess and specialty lines, focusing on liability, umbrella, and unique risk categories., • Assess policy language and provide nuanced feedback on policy interpretation and coverage analysis., • Identify risk factors, apply sound underwriting judgement, and ensure compliance with industry standards and insurance regulations., • Support the development of AI training data by contributing real-world insights on underwriting practices and coverage operations., • Collaborate in a remote environment, providing clear, effective written and verbal communication to enhance AI system understanding., • Share insight into evolving trends, emerging risks, and innovations within specialty and excess insurance lines. Required Skills and Qualifications: • 4–5+ years of hands-on underwriting experience in commercial lines, specialty insurance, excess casualty, or umbrella products., • In-depth understanding of commercial P&C, liability coverage, and policy evaluation best practices., • Demonstrated expertise in policy interpretation, insurance compliance, and comprehensive coverage analysis., • Experience working with insurance operations in complex or specialty risk environments., • Excellent written and verbal communication skills, with the ability to articulate nuanced underwriting concepts., • Proven track record within the US insurance market or with US-based clients and frameworks. Preferred Qualifications: • Prior exposure to emerging risk types, complex liability structures, or innovative coverage solutions within excess & specialty lines., • Experience collaborating on cross-functional teams or contributing to process improvement initiatives in insurance operations., • Global candidates with deep familiarity with US underwriting standards and commercial insurance practices are strongly encouraged to apply.

chemistry expertisescientific document analysisanalytical reasoningdata interpretationresearch skillsquestion and assessment creationenglish written and verbal communicationcollaborationattention to detailindependent workAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Chemistry Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze and interpret complex scientific documents, datasets, and research papers related to chemistry., • Develop, review, and refine high-quality questions and answers that challenge and expand AI understanding., • Apply analytical techniques to assess and extract key insights from provided materials., • Collaborate with cross-functional teams to ensure scientific rigor and clarity in content., • Interface with documentation and contribute to continuous process improvement., • Provide feedback and domain expertise on model outputs and system performance., • Ensure the accuracy, relevance, and integrity of all chemistry-related data and input. Required Skills and Qualifications: • Bachelor’s degree or higher in Chemistry or a closely related field., • 2+ years of professional experience in academia, laboratory, or industry settings., • Proven ability to read, comprehend, and analyze technical documents and research studies., • Excellent English proficiency, with strong written and verbal communication skills., • Demonstrated experience in data retrieval, computation, and analytical reasoning., • Ability to work independently with minimal supervision, delivering high-quality results., • Strong attention to detail and scientific accuracy. Preferred Qualifications: • Advanced degree (MS, PhD) in Chemistry or related discipline., • Experience in creating educational or assessment materials., • Familiarity with interdisciplinary collaborations (e.g., physics, biology).

$50 - $80/hourpayBuilding code knowledgePlan review and blueprint readingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Building Code Compliance Expert Job Type: Contractor Location: Remote (US only) Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input related to building codes, permitting, inspections, and construction compliance. Key Responsibilities: • Conduct reviews of architectural and engineering plans to assess building code compliance., • Interpret blueprints, permit documents, zoning requirements, and construction documentation., • Analyze code-related scenarios and provide clear compliance reasoning and recommendations., • Identify permitting issues, code violations, and regulatory concerns across residential and commercial projects., • Collaborate with architects, engineers, contractors, inspectors, and permitting teams to resolve compliance questions., • Deliver clear written reports and explanations related to code interpretation and compliance findings., • Support AI training projects by providing accurate, real-world building compliance expertise. Required Skills and Qualifications: • Demonstrated experience in building codes, permitting, inspections, zoning, or plan review., • Strong ability to read and interpret construction drawings and technical documentation., • Experience working with residential and/or commercial construction projects., • Strong analytical, problem-solving, and communication skills., • Ability to work independently and remotely while managing multiple assignments., • Experience collaborating with cross-functional project teams. Preferred Qualifications: • Relevant certifications such as ICC, NFPA, or state-issued licenses., • Experience working with city/county building departments or municipal permitting offices., • Experience in code enforcement, plan review, virtual inspections, or compliance consulting., • Background in architecture, engineering, construction management, or land use development.

physics research analysisscientific writingcritical thinkingproblem-solvingdata analysisquestion and exam creationremote collaborationtime managementanalytical reasoningtechnical document synthesisai training content developmentinterdisciplinary teamworkattention to detailindependent workdigital content creationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Physics Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Thoroughly analyze, interpret, and summarize complex physics documents and research papers., • Create and review high-quality questions and problems related to diverse physics topics for AI model training., • Extract key data, perform detailed computations, and validate analytical solutions in various physics domains., • Deliver clear, concise written explanations and rationales for technical problems and solutions., • Collaborate with a multidisciplinary remote team while maintaining independence in daily work., • Leverage your specialist expertise to ensure accuracy and depth in all content generated or reviewed., • Maintain a high standard of quality and consistency while meeting ongoing deadlines. Required Skills and Qualifications: • 2+ years of professional experience in physics or a closely related field, either in academia or a lab/workplace setting., • Exceptional written and verbal English communication skills, with strong attention to detail., • Proven ability to read, analyze, and synthesize technical documents and research literature., • Demonstrated experience creating, editing, or reviewing scientific questions, exams, or technical exercises., • Ability to work independently and proactively with minimal supervision in a remote setting., • Excellent critical thinking and analytical skills for data evaluation and problem solving., • Strong time management abilities to handle multiple tasks efficiently. Preferred Qualifications: • Advanced degree (MSc, PhD) in Physics or a related discipline., • Experience interfacing with AI, EdTech, or digital content creation projects., • Familiarity with interdisciplinary scientific analysis and collaborative workflows.

$35 - $100/hourpayEViewsMacroeconomicsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

biological data analysisscientific reading comprehensionassessment and question creationwritten and verbal communicationremote team collaborationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Biology Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze technical documents and extract key information relevant to your domain expertise, • Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios, • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis, • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness, • Apply advanced subject matter knowledge to evaluate and solve complex engineering problems, • Work independently, managing your time to deliver high-quality outputs with minimal supervision, • Contribute to the continuous improvement of data quality and project processes Required Skills and Qualifications: • 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia), • Strong reading comprehension skills, with proven ability to analyze and interpret technical documents, • Exceptional English communication skills, both written and verbal, • Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets, • Ability to work independently and efficiently, with excellent self-management, • High attention to detail and commitment to data accuracy, • Experience interfacing with technical documentation and performing analytical tasks Preferred Qualifications: • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology, • Previous experience contributing to interdisciplinary or research-driven projects, • Familiarity with data-driven analysis or training data preparation Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Analyze, review, and interpret complex biological documents, research papers, and data sets to create high-quality assessment content., • Formulate and vet biology-related questions focused on data retrieval, computation, and critical analysis., • Deliver clear explanations and detailed feedback to enhance AI model understanding., • Collaborate with a remote, interdisciplinary team to ensure ongoing content accuracy and quality., • Contribute domain-specific expertise to support the continuous improvement of AI systems., • Work independently to meet deadlines and achieve high productivity with minimal supervision., • Uphold rigorous standards for written and verbal communication in English. Required Skills and Qualifications: • Minimum 2 years of professional experience in biology, either in academia, laboratory settings, or relevant industry roles., • Demonstrated ability to analyze and synthesize complex biological information from diverse sources., • Strong written and verbal English communication, with an emphasis on clarity and detail., • Excellent reading comprehension, particularly in interpreting research and technical documents., • Experience creating or reviewing problem sets, assessments, or scientific analyses., • Ability to work autonomously and efficiently in a remote environment., • High attention to detail and commitment to quality. Preferred Qualifications: • Advanced degree (Master’s or PhD) in Biology or closely related field., • Experience collaborating with multidisciplinary teams or involvement in cross-functional projects., • Familiarity with computational biology or data analysis tools.

$13 - $13/hourpayVideo CapturingIMU (Inertial Measurement Unit)Attention to DetailAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, New Hampshire, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, and Wisconsin. Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Capture precise motion data using your smartphone’s sensor suite (IMU) during specified physical tasks., • Supported devices include the iPhone 11 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later., • Record synchronized video footage to validate and enhance the integrity of collected sensor data., • Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards., • Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration., • Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes., • Ensure timely and reliable delivery of data outputs in accordance with project milestones., • Participate in required device compatibility checks and a custom AI-enabled interview process. Required Skills and Qualifications: • Access to a head strap to be able to record both hands within 48 hours of the start date., • Demonstrated adherence to standardized protocols and rigorous technical instructions., • Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment., • Strong written and verbal communication skills; ability to document work and collaborate remotely., • Experience with mobile devices and a high level of digital literacy., • Physical capability to perform repetitive movement tasks safely and accurately., • Access to a compatible smartphone for high-fidelity sensor and video data collection., • Eligibility to work in designated U.S. states., • Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration. Compensation Structure Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply: videos must be at a specific length defined by the project, and experts must submit a minimum of 10 to 15 hours of video per week. Start Timeline & Availability We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding. Tasks for this project must be performed from a mobile device (smartphone or tablet). Experts will record their workflow directly from the mobile device while completing tasks. Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

$40 - $100/hourpayQGISGeographyMappingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: QGIS Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Lead end-to-end projects in QGIS, from raw spatial data acquisition and cleaning to final map outputs and comprehensive deliverables., • Document your workflow and reasoning in real-time as you perform data management, spatial analysis, and map production tasks., • Organize, clean, and validate diverse spatial datasets, ensuring high accuracy and consistency throughout the process., • Manage projections, coordinate systems, and spatial references to optimize data interoperability and output quality., • Style and symbolize map layers for clarity, interpretability, and professional presentation in various contexts., • Build advanced layouts and cartographic products, explaining your design decisions along the way., • Troubleshoot issues and explain problem-solving strategies as they arise within QGIS workflows. Required Skills and Qualifications: • Extensive hands-on experience with QGIS, including managing full GIS projects independently., • Proven track record of delivering high-quality spatial analyses, maps, and geospatial outputs using QGIS., • In-depth understanding of spatial data formats, coordinate systems, projections, and related GIS principles., • Exceptional written and verbal communication skills, with the ability to clearly explain technical decisions and workflow rationale., • Strong data organization, cleaning, and transformation skills within QGIS., • Experience troubleshooting and resolving complex challenges in GIS workflows., • Comfortable working remotely while maintaining consistent project documentation and communication with the broader team. Preferred Qualifications: • Experience documenting GIS processes for training, teaching, or AI research purposes., • Background in mentoring or collaborating within multi-disciplinary GIS teams., • Familiarity with integrating QGIS with other geospatial tools or programming languages.

$60 - $120/hourpayPythonRustGoLangFull-stackJAVANode.jsAndroid DevelopmentiOS DevelopmentAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Software Developer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node.js., • Collaborate closely with cross-functional team members to deliver high-quality software solutions that meet evolving business requirements., • Write clean, efficient, and well-documented code, following best software engineering practices., • Troubleshoot, debug, and optimize existing codebases to improve performance and reliability., • Participate in code reviews, technical discussions, and architectural planning to drive continuous improvement., • Contribute to the full software development lifecycle, from concept and design to testing and deployment., • Maintain clear, concise, and thoughtful written and verbal communication across distributed teams. Required Skills and Qualifications: • 3+ years of hands-on experience in software development with one or more of the following: Python, Rust, GoLang, Java, Node.js, Android, IOS or full-stack development (backend or full-stack)., • Proficiency in building scalable, reliable, and maintainable software systems., • Experience working in remote, collaborative, and agile environments., • Expertise in modern development tools, version control systems, and CI/CD pipelines., • Strong problem-solving skills with keen attention to detail., • Excellent written and verbal communication skills, with a high standard for clarity and professionalism., • Self-driven, proactive, and able to work independently in a distributed setting. Preferred Qualifications: • Experience with cloud platforms such as AWS, GCP, or Azure., • Knowledge of DevOps principles and containerization technologies., • Background in mentoring or leading small engineering teams.

$20 - $70/hourpayLibrespritePixel ArtGraphic DesignIllustrationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: LibreSprite Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Drive complete pixel art and animation projects from concept through final asset export using LibreSprite., • Demonstrate real-time animation previews, refining motion and timing to studio-quality standards., • Utilize onion skinning, layers, and complex sprite composition features to create smooth, dynamic animations., • Design and develop cohesive asset sets, sprite sheets, character animations, tilesets, UI elements, and retro-style illustrations., • Leverage tiled drawing mode, palette customization, and pixel-precise tools for intricate patterns and detail work., • Export optimized sprites and animations in required production formats, adhering to technical and artistic specifications., • Clearly articulate workflow decisions, creative choices, and technical approaches—both in writing and verbally. Required Skills and Qualifications: • Expert-level proficiency with LibreSprite, with a proven track record of production usage., • Strong portfolio showcasing professional pixel art, animation, and graphic design., • Exceptional written and verbal communication skills, able to explain concepts and workflow logic clearly., • Experience independently managing end-to-end projects, from concept through asset delivery., • Deep understanding of sprite composition, animation techniques, and stylistic nuances in pixel art., • Proficient in customizing color palettes, tile creation, and managing complex layers and animation frames., • Ability to work autonomously within a remote, collaborative environment. Preferred Qualifications: • Prior experience capturing or teaching creative workflows for training, tutorials, or educational initiatives., • Familiarity with retro game art pipelines or production environments., • Experience contributing to open-source or collaborative art projects.

Financial Data AnalysisEmbedded FinanceInvestment Strategy & AdvisoryPredictive Analytics & VisualizationAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Financial Analyst Job Type: Full-time or Part-time, Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities • Analyze complex financial data to identify key trends and provide actionable insights for strategic decision-making., • Lead the evaluation of embedded finance opportunities and contribute to advisory on investment strategies., • Develop predictive financial models and dynamic visualizations using up-to-date analytics platforms., • Conduct thorough market and industry research, synthesizing information from diverse sources to inform business recommendations., • Communicate findings and strategic recommendations clearly in both written reports and verbal presentations to stakeholders., • Stay ahead of the latest trends in the Asian economy, embedded finance, and digital financial solutions., • Collaborate with cross-functional teams to translate analytical results into business outcomes. Required Skills and Qualifications • Bachelor’s degree in Finance, Economics, or related field., • Professional certification (CFA, CIIA, CMA) or proven experience as a financial analyst in a leading finance institution., • Strong proficiency in financial data analysis, predictive analytics, and visualization tools (e.g., Power BI, Tableau, Python or R)., • Demonstrated experience in investment strategy and advisory, particularly within embedded finance contexts., • Exceptional written and verbal communication skills, with a keen eye for detail and clarity., • Advanced online research capabilities and ability to synthesize diverse financial information rapidly., • Experience working in or with Asia, with a solid understanding of regional financial markets and economic drivers. Preferred Qualifications • Previous experience at an MBB (McKinsey, BCG, Bain) firm or a major financial institution., • Familiarity with digital finance platforms and emerging fintech trends in the Asian market., • Based in Asia, or extensive prior exposure to the Asian economic landscape.

Job Description Pay: From $18.00 per hour to $22.00 per hour Location: Currently looking to hire multiple candidates in San Francisco, specifically within the following zip codes: 94112, 94102, 94124, 94110, and 94134. Job description: We at Behavioral Progress Center are committed to building an organization devoted to the well-being of our community, families, and individuals. No ABA Experience Required ABA experience is not required. We provide comprehensive onboarding ABA training for all new hires, along with ongoing training and continuous support. Qualifications for BT • Have at least High School Diploma/GED Qualifications for RBT • Have at least 2 months of experience working with individuals with Autism or any developmental disabilities., • Have basic knowledge of the following:, • basic concepts and principles of applied behavior analysis, • behavior analytic learning principles (i.e., reinforcement, punishment, and extinction) and how they are used to reduce problem behaviors, increase appropriate behaviors, replace behaviors, and teach new skills., • ethical guidelines for the practice of applied behavior analysis, • basic knowledge and implementation of standard data collection tools (e.g., frequency, rate, duration), • Must be self-motivated, responsible, honest, articulate, and be able to work independently and in a team., • Stand, sit, twist, kneel, bend over, crouch, walk, and sit/play on the floor for extended periods., • Be able to lift, push, and pull up to 40 pounds without assistance from another adult., • Possess strong written and oral communication skills., • Proficiency in data collection. Job Duties and Responsibilities • Implement an ABA program with consistency and treatment/procedural integrity, • Utilize antecedent intervention procedures (e.g., Premack Principle, Non-contingent Reinforcement, Functional Communication Training)., • Utilize behavior analytic teaching strategies (e.g., task analysis, shaping, chaining, Direct Instruction, Discrete Trial Training, Pivotal Response Therapy, Natural Teaching Environment, and Precision Teaching)., • Utilize consequence interventions (e.g., reinforcement (schedules), punishment, and extinction)., • Provide social skills instruction., • Provide authorized services directly to the family and consumer., • Maintain communication with consumer/parents/caregivers through email and phone calls., • Collect, review, summarize, and communicate data (data sheets, session notes, task analyses, ABC data sheets, parent goal data, etc.) and progress with Program Supervisor., • Maintain communication with Program Supervisor for mastery and new programs on each individual case., • Conducts one-on-one consumer/parent/caregiver sessions., • All sessions are face to face, and not through electronic means., • Attend quarterly staff meetings and professional development trainings., • Report any incidents and communication from the parent to the Program Supervisor, • Submits SIR within the same day of incident., • Contact Program Supervisor and Human Resource Department prior to cancellations., • Provide consistent and ongoing therapy to clients; no consistent cancellations allowed. Ratio • Each therapist for In Home services will be given 1-2 Cases, based on availability. Hours are typically after school, starting from 2:30PM to 3:30PM, and can vary from 3 to 5 hours a day. Currently hiring for 2 in school cases with morning availability, starting from 8:00 AM-3:00 PM If you are interested, please email us at behavioralprogresscenter@gmail.com Job Type: Full-time/Part-time Salary: $18.00-$22.00 Benefits: • Flexible schedule, • Professional development assistance, • Onboarding training for those who are not experienced in ABA and direct therapy Schedule: • 4-8 hour shift Ability to commute: Drive Time requirement 20 miles Work Location: In person Job Type: Part-time Benefits: • Flexible schedule, • Professional development assistance Application Question(s): • Do you have morning availability 8:00 AM-2 PM?, • Do you have afternoon availability 2-8 PM? Education: • High School Diploma, • Associate (Preferred) Language: • English, • Spanish (Preferred) Work Location: In person

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: • Develop ML models that assess our autonomous vehicle's behavior., • Develop ML infrastructure to support performant models., • Collaborate across teams to bring state-of-the-art to production. You have: • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience, • 4+ years of experience building productionized ML models, • Code and design skills: comfort building production systems (Python / C++), • Background in applied Deep Learning, • A track record in improving model quality We prefer: • 6+ years of experience building productionized ML models, • Experience in reinforcement learning, transfer learning, or learning., • Experience with large scale data and models The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$238,000—$302,000 USD

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world's most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI. • Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery., • Design and implement scheduling primitives to optimize the lifecycle of training jobs., • Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures, • Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability., • Work closely with Finance and Procurement teams to drive our capacity planning process., • Participate in our team's on call process to ensure the availability of our services., • Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment., • 5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes)., • Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++), • Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling., • Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling., • Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput, • Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments., • Experience with distributed training techniques such as DeepSpeed, FSDP, etc., • Experience with the NVIDIA software and hardware stack (CUDA, NCCL), • Experience with PyTorch, • Familiarity with post-training algorithms such as GRPO, and with Reinforcement Learning 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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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:$216,000—$270,000 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, Ernst & Young, 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 accommodations@scale.com. 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.

At Scale, we believe that AI will dramatically improve the world, and our mission is to develop reliable AI systems for the world's most important decisions. To help achieve this mission, we are looking for an HR Business Partner to partner with our Gen AI Operations team. Scale AI's Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment._The data they produced is described as some of the most important work for how humanity will interact with AI. As the HR Business Partner, Operations, you will be deeply embedded within the Gen AI Operations team, advise team members as our business scales, and will support leaders in all people-related matters. You will collaborate closely with cross-functional teams such as HR Operations, Recruiting, Finance, Legal, and IT to make the Operations team as successful as possible. • Provide end-to-end HRBP support across our growing and evolving Gen AI business unit, including directly driving org health initiatives, influencing org structure to effectively scale the team, and developing and implementing creative solutions as the team navigates new markets., • Establish yourself as a trusted advisor and a knowledgeable, reliable, and empathetic partner for our employees and leaders across the Enterprise team, • Coach and advise leaders on best people practices and uplevel manager skill sets, • Lead project management for all people programs for the Enterprise organization, including org planning, onboarding, performance cycles, engagement surveys, and career development efforts, • Drive organization and order for people data and use it to provide insights and recommendations to leaders, • Work in a hybrid work environment (3 days/week) at our San Francisco Headquarters or New York office, • 5+ years of experience working in HR with progression and growth in scope, with 3+ years of experience in an HR Business Partner role at a fast-paced, high-growth company, • Demonstrated experience engaging with executive-level leadership on org-wide initiatives, and ability to partner and build relationships with senior leadership, • Strong ability to relate to, empathize with, and quickly build trust with people from diverse backgrounds, • Proven ability to thrive in a fast-paced, iterative environment and embrace changes in focus and direction as needed, • A passion for building scalable processes in a creative, thoughtful, and organized way, • Experience supporting a global workforce across various job functions, • Strong knowledge of Google Sheets/Excel and demonstrated ability to influence decisions with data., • Experience in Consulting or in an Operations and Strategy role at a fast-paced company. 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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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:$172,800—$216,000 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, Ernst & Young, 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 accommodations@scale.com. 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.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer. You will: • Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used throughout Waymo's systems, both onboard autonomous vehicles and offboard in simulation, • Lead the development of end-to-end evaluation systems and benchmarks for Waymo Foundation models, encompassing the entire lifecycle from pretraining and supervised fine-tuning (SFT) to reinforcement learning (RL), for evaluating the quality, safety, and realism of embodied AI agents, • Partner within and across organizations to land disruptive and innovative tech in production, • Implement and extend large large scale data and evaluation pipelines You have: • Master's degree or PhD degree in Computer Science, similar technical field of study, or equivalent practical experience, • 5+ years of experience in ML engineering and applied Deep Learning, with a strong portfolio of shipped products or publication record, • Experience with large scale distributed system, • Proficient programming skills (eg: Python, C/C++), • Strong analytical and debugging skills We prefer: • ML infra experience: training, evaluating and deploying ML models at scale, • Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning, • Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow) The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$238,000—$302,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. We are seeking highly motivated and talented experienced engineers to join our team to lead the post-training LLM for autonomous driving. You will be working alongside a world-class team of researchers and engineers to develop and advance the next generation of frontier AI models. • Post-training for instruction following and CoT thinking: Develop and apply methods to enhance the instruction following and CoT abilities of LLM models targeting autonomous driving applications. This may include fine-tuning strategies, reinforcement learning techniques, or novel approaches to improve LLM's ability to solve complex driving tasks, make decisions, and interact with dynamic environments., • Collaborate deeply with research teams asking the right technical questions, translating research advances into production-ready systems, and shaping joint technical direction., • Provide technical leadership to influence senior engineers and researchers across ML, infra, and data teams., • Raise the technical bar for how Waymo trains, evaluates, and deploys LLM models in the autonomous driving technical stack., • Demonstrated experience developing post-training methods for LLM models, • Extensive experience with deep learning frameworks (e.g. PyTorch, JAX) and large-scale model training., • A track record of operating effectively under ambiguity, setting direction amid rapidly evolving research and technical constraints, • The ability to translate research insights into production-ready post-training pipelines and systems, • Experience applying large language models or foundation models in complex, safety-critical domains (e.g., autonomy, robotics, or other high-reliability systems), • Excellent communication and collaboration skills The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$281,000—$356,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer. You will: • Work with a creative team of people who help to build the state-of-the-art Foundation Models that are used throughout Waymo's systems, both onboard autonomous vehicles and offboard in simulation, • Drive the development or significantly contribute to end-to-end evaluation systems and benchmarks for Waymo Foundation models, encompassing the entire life-cycle from pre-training and supervised fine-tuning (SFT) to reinforcement learning (RL), for evaluating the quality, safety, and realism of embodied AI agents, • Partner with cross-functional teams within the organization to land innovative tech in production, • Implement and extend large large scale data and evaluation pipelines. You have: • Bachelor or Master's degree in Computer Science, similar technical field of study, or equivalent practical experience, • Experience in ML engineering and applied Deep Learning, • Experience with large scale distributed system, • Proficient programming skills (eg: Python, C/C++) We prefer: • ML infra experience: training, evaluating and deploying ML models at scale, • Deep learning experience, especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning, • Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow) In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: • Health, dental, vision, life, disability insurance, • Retirement Benefits: 401(k) with company match, • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment, • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary), • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks, • Baby Bonding Leave: 18 weeks, • Holidays: 13 paid days per year The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000—$259,000 USD

"I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. "I can influence my income." You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. "I can lead a full life." You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Lead AI Research Scientist." As a Lead AI Research Scientist, you will drive cutting-edge AI research and experimentation to shape the future of AI at Capital Group. Your work will power innovative solutions that elevate our leadership in asset management, including conversational assistants for investment guidance, personalized recommender systems that deliver investment content and product recommendations to clients, sophisticated time-series models that analyze decades of data (thousands of attributes) to predict clients' next best actions, and optimization algorithms to enhance client engagement. You will lead high-impact research initiatives, collaborate with scientists and engineers to explore emerging techniques, and publish industry-leading ideas that empower our broader AI community. "I am the person Capital Group is looking for." • You hold an MS or PhD in Computer Science, AI, ML, or a related field, with a strong academic foundation and a proven research track record., • You bring 6+ years (post-MS) or 4+ years (post-PhD) of experience delivering advanced AI solutions and leading complex, ambiguous projects from concept to production., • You have deep expertise in generative AI, LLMs, agentic systems, knowledge graphs, reinforcement learning, and advanced architectures like Transformers and deep neural networks., • You stay at the forefront of AI advancements, applying state-of-the-art research to solve real-world business challenges and deliver production-ready innovations., • You communicate complex AI concepts clearly to both technical and non-technical audiences, influencing strategy and direction across the organization., • You foster a collaborative, innovative culture by mentoring and inspiring fellow scientists and engineers. "I can apply in less than 4 minutes." You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community. "I can learn more about Capital Group." At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor. Southern California Base Salary Range: $226,893-$363,029 San Francisco Base Salary Range: $264,594-$423,350 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits _. • Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

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 Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. • Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers, • Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal, • Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions, • Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes, • Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency, • Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence, • Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements, • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution, • Excited to join a dynamic hybrid team based in San Francisco or New York City 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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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:$216,000—$270,000 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, Ernst & Young, 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 accommodations@scale.com. 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 AI 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 public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world's leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: • Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies., • Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions., • End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure., • Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation., • Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design., • Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: • At least 2 years of relevant experience is preferred, • Proven track record of shipping high-quality products and features at scale., • Strong problem-solving skills and the ability to work independently or as part of a collaborative team., • Desire to thrive in a fast-paced, dynamic environment., • Ability to turn business and product ideas into engineering solutions., • Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Ability to adapt quickly to the ever-changing world of generative AI., • Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: • Experience with large-scale data processing and distributed systems., • Familiarity with machine learning and AI concepts., • Experience working directly with enterprise customers., • Experience with cloud-based infrastructure. 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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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:$179,400—$224,250 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, Ernst & Young, 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 accommodations@scale.com. 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.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. In this hybrid role you will report to a Technical Lead Manager. You will: Conduct applied foundation model research and development Design compelling experiments by training and evaluating large deep learning models Present results to peers and leadership Write high quality code, unit tests, and documentation You have: Masters or PhD in deep learning in behavior and agent modeling or simulation • Proficiency in Python 3+ years of experience with modern deep learning frameworks. Prefer JAX or TensorFlow 2; however, Pytorch is acceptable. • Experience in generative modeling andLLMs or VLMs (e.g., Gemini, Llama, GPT) We prefer: Experience with: • Post-training, incl. reinforcement learning, • Distillation, • Transformer models, • Autoencoders and embeddings The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000—$259,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver's behavior. We are the software engineering team responsible for Waymo's high-level motion planning, encoding Waymo's desired driving behaviors onboard and offboard. Our mission is to build the driving logic needed to deliver a safe, excellent Waymo Driver at scale. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. In this team, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities. In this hybrid-based role, you will report to an Engineering Manager. You will: • Lead and develop ML solutions for the Waymo driver's decision making and motion planning -- shaping the data, reward, or loss functions in modeling, data mining from large datasets, developing and refining labeling policies., • Analyze, finetune, and evaluate model performance using data-driven approaches, • Integrate and deploy ML models on the fleet, conduct end-to-end validation and on-field monitoring., • Stay up-to-date with the latest advancements in autonomous driving and machine learning, and be able quickly prototype, experiment and deploy novel SOTA solutions., • Collaborate closely with partner teams such as perception, research, simulation, and evaluation, • Mentor engineers in leading adoption of ML-based approaches for solving reasoning problems. You have: • PhD, Masters or Bachelors degree in Computer Science, Machine Learning, Robotics, or a related field, • 7+ years of years of software engineering / machine learning experience, • Experience in applied machine learning including deep learning models, reinforcement learning, feature engineering, loss/reward shaping, data shaping, fine tuning and model evaluation, • Proficiency in dealing with large scale models and datasets, • High quality API design with an eye towards eval and data driven technique, • Experience with working and solving design problems that cut across multiple components, • Proficiency in Python and at least one deep learning frameworks (e.g. PyTorch, JAX, or TensorFlow) We prefer: • Experience in the autonomous driving domain, including areas like motion planning or perception, • Experience with Large Language Models (LLM) or Vision Language Models (VLM), prompt engineering and chain of thought reasoning, • Eval experience, contributing to scalable eval workflows and building metrics for ML models, • Proficiency in C++ The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$251,000—$310,000 USD

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 _. As a Staff Product Manager for the GenAI Safety team within Trust & Safety, you'll define and drive the product strategy for ensuring Pinterest's GenAI-powered systems are safe, fair, and trustworthy. You'll be responsible for building proactive safety frameworks that scale with our growing AI capabilities, partnering deeply with engineering, policy, data science, and design to protect our users while enabling Pinterest to innovate responsibly. This is a high-impact role for someone who is passionate about the intersection of AI and user safety, and who thrives in ambiguous, fast-evolving problem spaces. You'll work at the frontier of responsible AI - anticipating novel harms before they emerge, red-teaming new AI features, and translating complex policy goals into measurable product requirements. What you'll do: • GenAI Safety Strategy: Own and drive the product roadmap for GenAI safety across Pinterest's AI-powered surfaces, including assisted search, content recommendations, automated moderation, and generative content creation tools, • Threat Modeling & Red-Teaming: Lead proactive identification of risks, failure modes, and adversarial attack vectors across AI systems - designing structured red-teaming exercises and evaluation frameworks before and after product launches, • Policy-to-Product Translation: Partner closely with Trust & Safety policy, legal, and ethics teams to translate nuanced content guidelines (e.g., self-harm, misinformation, body image) into precise, buildable product requirements and model guardrails, • Cross-Functional Collaboration: Work with engineering, ML, design, data science, policy, legal, comms, and operations teams to define, align, and ship AI safety solutions across global markets and diverse user populations, • Evaluation & Measurement: Define and track quantitative safety metrics - including fairness audits, false positive/negative rates, disparate impact analysis, and content harm reduction - to ensure AI systems meet safety standards at scale, • Incident Response: Develop and maintain AI safety incident runbooks and escalation frameworks, and lead rapid triage and remediation when AI systems produce harmful or unexpected outputs, • Emerging Risk Anticipation: Stay ahead of the rapidly evolving AI landscape to identify safety implications of new capabilities (e.g., multi-modal generation, synthetic media, agentic AI) and proactively build extensible safety infrastructure to address unknown future applications, • Global & Cultural Sensitivity: Ensure AI safety approaches account for the needs, norms, and contexts of Pinterest's diverse global user base - avoiding one-size-fits-all solutions and centering equity in safety design, • User & Employee Wellbeing: Champion the safety and psychological wellbeing of both users who encounter harmful content and internal teams (content reviewers, T&S specialists) who work on the front lines of content safety What we're looking for: • 7+ years of product management experience, with meaningful depth in GenAI/ML, trust & safety, content moderation, or responsible AI, • Strong fluency in AI/ML concepts - including generative models, recommendation systems, multi-modal AI, and reinforcement learning from human feedback (RLHF), • Experience with AI ethics frameworks, responsible AI principles, or relevant regulatory landscapes (e.g., NIST AI RMF, EU AI Act), • Demonstrated ability to lead cross-functional teams through ambiguous, high-stakes problem spaces with a bias for action, • Proficiency in engaging with research, mapping threat models, validating risks, and translating insights into clear product strategies and roadmaps, • Excellent communication skills - the ability to articulate complex technical and ethical trade-offs to non-technical audiences and senior leadership, facilitating clear decision-making, • Deep empathy for users and a genuine commitment to making the internet safer, • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience Relocation Statement: • This position is not eligible for relocation assistance. Visit our_ page to learn more about our working model. In-Office Requirement Statement: • 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/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-REX 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$164,695—$339,078 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 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 _. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. What you'll do: • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest, • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas, • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval, • Work in a high-impact environment with quick experimentation and product launches, • Keeping up with industry trends in recommendation systems What we're looking for: • 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning), • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark), • Degree in computer science, machine learning, statistics, or related field, • Nice to have:, • 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, • Passion for applied ML and the Pinterest product, • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience. Relocation Statement: • This position is not eligible for relocation assistance. Visit our _ page to learn more about our working model. #LI-SA1 #LI-REMOTE 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 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 _. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads. What you'll do: • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest, • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas, • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval, • Work in a high-impact environment with quick experimentation and product launches, • Keep up with industry trends in recommendation systems, • Leverage LLMs to enhance content understanding What we're looking for: • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning), • Degree in computer science, statistics, or related field; or equivalent experience, • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark), • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems, • Nice to have:, • M.S. or PhD in Machine Learning or related areas, • 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, • Passion for applied ML and the Pinterest product, • Background in computational advertising Relocation Statement: • This position is not eligible for relocation assistance. Visit our _ page to learn more about our working model. #LI-HYBRID 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 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 _. About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. We are seeking a Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems. What you'll do: • Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition, • Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline, • Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments, • Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic, • Define the technical direction for simulation and AI infrastructure and mentor engineers on the team What we're looking for: • Systems programming experience in Zig or similar (C, C++, Rust), • Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation, • Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't, • Adtech experience: you understand RTB mechanics, and the dynamics of programmatic advertising, • Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks, • Clear written communication: you'll be defining new technical directions and need to bring others along, • Ownership: you scope, design, and ship systems end-to-end with minimal direction, • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs, • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review), • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables., • Degreein a relevant field such as computer science, statistics, engineering, or equivalent experience., • Nice-to-Haves:, • Strong production Python skills and experience building simulation or modeling systems, • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing, • Experience with discrete event simulation, Monte Carlo methods, or digital twins, • Reinforcement learning - using simulated environments for policy learning and evaluation, • Experience building agentic AI systems or multi-agent simulations, • Big data experience with Scala and Spark, • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: • This position is not eligible for relocation assistance. Visit our_ page to learn more about our working model. #LI-SM4 #LI-REMOTE 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$123,696—$254,667 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.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. In this hybrid role you will report to a Technical Lead Manager. You will: Conduct applied foundation model research and development Design compelling experiments by training and evaluating large deep learning models Present results to peers and leadership Write high quality code, unit tests, and documentation You have: Masters or PhD in deep learning in behavior and agent modeling or simulation • Proficiency in Python 3+ years of experience with modern deep learning frameworks. Prefer JAX or TensorFlow 2; however, Pytorch is acceptable. • Experience in generative modeling andLLMs or VLMs (e.g., Gemini, Llama, GPT) We prefer: Experience with: • Post-training, incl. reinforcement learning, • Distillation, • Transformer models, • Autoencoders and embeddings The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000—$259,000 USD

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks., • Interest in shaping the future of general-purpose enterprise agents and their real-world impact. 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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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, Ernst & Young, 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 accommodations@scale.com. 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.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work schedule and reports to a Staff Research Scientist / Tech Lead Manager. You will: • Design and implement generative world action modeling solutions to simulate future world states / observations and generate policies for embodied agents (autonomous vehicles)., • Develop and maintain scalable data pipelines to process data from multiple sources., • Design and implement evaluation strategies for world action models., • Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc., • Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical blog posts, technical reports and/or publications., • Collaborate inclusively across Waymo/Alphabet to apply developed techniques to Waymo products. You have: • PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning research experience, with 5+ years of experience with Deep Learning and Generative Models., • Strong coding skills in Python and strong familiarity with major ML Frameworks (JAX, Tensorflow, Pytorch)., • Strong familiarity with AI tools in day to day work., • Experience in large-scale distributed training and different forms of parallelism., • Experience in generative models for domains such as world models, images, videaos, 3D, human animation, traffic, and/or simulation, using techniques such as diffusion and/or autoregressive models. We prefer: • Publications at top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc., • Substantial involvement in and contributions to high impact industry AI projects., • First-hand experience in, and direct contributions to training large world models / world-action models., • Familiarity with Reinforcement Learning in simulation environments. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: • Health, dental, vision, life, disability insurance, • Retirement Benefits: 401(k) with company match, • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment, • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary), • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks, • Baby Bonding Leave: 18 weeks, • Holidays: 13 paid days per year The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$213,000—$263,000 USD

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 _. About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. We are seeking a Sr. Software Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems. What you'll do: • Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition, • Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline, • Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments, • Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic, • Define the technical direction for simulation and AI infrastructure and mentor engineers on the team What we're looking for: • Systems programming experience in Zig or similar (C, C++, Rust), • Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation, • Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't, • Adtech experience: you understand RTB mechanics, and the dynamics of programmatic advertising, • Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks, • Clear written communication: you'll be defining new technical directions and need to bring others along, • Ownership: you scope, design, and ship systems end-to-end with minimal direction, • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs, • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review), • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables., • Degreein a relevant field such as computer science, statistics, engineering, or equivalent experience., • Nice-to-Haves:, • Strong production Python skills and experience building simulation or modeling systems, • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing, • Experience with discrete event simulation, Monte Carlo methods, or digital twins, • Reinforcement learning - using simulated environments for policy learning and evaluation, • Experience building agentic AI systems or multi-agent simulations, • Big data experience with Scala and Spark, • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: • This position is not eligible for relocation assistance. Visit our_ page to learn more about our working model. #LI-SM4 #LI-REMOTE 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$155,584—$320,320 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.

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., • Publish research findings in top-tier AI conferences. Ideally you'd have: • 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, • 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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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, Ernst & Young, 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 accommodations@scale.com. 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.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. In this hybrid role, you will report to a Principal Scientist. You will: • Participate in Waymo's Foundation World Model post-training and evaluation, • Research and develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning, • Integrate emerging research from the broader AI community into Waymo's internal RL infrastructure, conducting rigorous ablations to identify and scale the most promising methods, • Partner with engineering and research teams across Waymo to share recipes, techniques, and post-training best practices to accelerate our collective know-how You have: • PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models, • Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions, • Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches, • A willingness to work with complexity of globally distributed inference infrastructure We prefer: • PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning, • Extensive experience designing and deploying Reinforcement Learning infrastructure, specifically for on-policy learning or alignment with human preferences, • A consistent history of original contributions to the AI community, evidenced by first-author publications at top-tier venues (e.g., NeurIPS, ICLR, ICRA) or maintaining significant open-source ML projects, • Experience with large scale (many-machine) training infrastructure and techniques for inference with large models such as model sharding/tensor-parallel In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: • Health, dental, vision, life, disability insurance, • Retirement Benefits: 401(k) with company match, • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment, • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary), • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks, • Baby Bonding Leave: 18 weeks, • Holidays: 13 paid days per year Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000—$259,000 USD

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 _. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. What you'll do: • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest, • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas, • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval, • Work in a high-impact environment with quick experimentation and product launches, • Keeping up with industry trends in recommendation systems What we're looking for: • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning), • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark), • Degree in computer science, machine learning, statistics, or related field, • Nice to have:, • M.S. or PhD in Machine Learning or related areas, • 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, • Passion for applied ML and the Pinterest product Relocation Statement: • This position is not eligible for relocation assistance. Visit our _ page to learn more about our working model. #LI-SA1 #LI-REMOTE 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$138,905—$285,982 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 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 _. With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads. What you'll do: • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest, • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas, • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval, • Work in a high-impact environment with quick experimentation and product launches, • Keep up with industry trends in recommendation systems, • Leverage LLMs to enhance content understanding What we're looking for: • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning), • Degree in computer science, machine learning, statistics, or related field, • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark), • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems, • Nice to have:, • 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, • Passion for applied ML and the Pinterest product, • Background in computational advertising Relocation Statement: • This position is not eligible for relocation assistance. Visit our _ page to learn more about our working model. #LI-HYBRID #LI-SM4 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$163,418—$285,982 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.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements., • Collaborate with cross-functional teams to define, design, and deliver new features., • Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades., • Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies., • Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers. Ideally you'd have: • 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems., • Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.)., • Show a track record of mentoring and leading teams in successful projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings., • Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems., • Experience driving cross functional collaboration and communication at an organizational or broader level. Nice to haves: • Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI)., • Experience with performance tuning and cost optimizations of cloud based data platforms., • Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs., • Experience scaling products at hyper-growth startups., • Excitement to work with AI technologies. 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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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, Ernst & Young, 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. 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