Reinforcement learning jobs in Jersey City, New JerseyCreate job alerts

Are you seeking an environment where you can drive innovation? Do you want to be at the forefront of solving the toughest real-world supply chain problems? Do you want to play a key role in the future of Amazon's Stores business? Come and join us! Supply Chain Optimization Technologies (SCOT) owns Amazon's global inventory planning systems. We decide what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We decide how to place and move inventory within Amazon's fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars worldwide. Check our website if you are curious to learn more about the breadth of problems we tackle: https://www.amazon.science/tag/supply-chain-optimization-technologies We are seeking a Sr. Manager of Applied Science with expertise in Statistical Machine Learning and/or Reinforcement Learning to drive research, development, and deployment of AI technology that empowers SCOT to build, run, and continuously improve the world's most efficient supply chain. To achieve this goal, we accelerate ML / RL software adoption through our partnerships and infrastructure. In this role, you will manage a team of scientists tasked researching the next generation of solutions to power buying, placement, and fulfillment decisions, while translating customer needs into reusable software infrastructure that accelerates adoption and deployment. Key job responsibilities • Lead technical innovation in reinforcement learning applications for complex supply chain environments, solving unique challenges and ensuring practical implementation in real-world deployments., • Build and develop a high-performing team by fostering collaboration, mentoring top talent, and creating a balanced culture of technical excellence., • Bridge technical possibilities with business requirements by providing strategic judgment, evaluating technology feasibility, and managing implementation risk., • Drive cross-functional collaboration by interfacing with product teams, leadership, and partner organizations to translate business needs into technical solutions., • Ph.D. in Computer Science, Applied Mathematics, Statistics or a closely-related field., • Hands-on experience building machine learning or optimization models in a business environment., • Demonstrated experience managing a science team for three or more years., • Expertise in modern Python with applications of efficient large-scale data processing in complex systems., • Ability to manage and quantify improvement in multiple business areas resulting from business analytics, optimization techniques, and/or statistical modeling., • Prior experience managing senior scientists as well as a successful record of developing junior members from academia/industry to a successful career track in a business environment., • Significant peer-reviewed scientific contributions in premier journals and conferences., • Familiarity with inventory planning concepts - forecasting, planning, optimization, and logistics - gained through work experience or graduate level education., • Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts., • Proven ability to work effectively in a cross-functional team. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 240,600.00 - 325,500.00 USD annually

Job Description Vidmob is the creative data company. Its scoring software and analytics have become an essential ingredient in the creative and media decisions of the world’s largest marketers and agencies, as they strive to drive business results through improved creative effectiveness. As the leader in creative data, Vidmob’s influence lies in its partnerships and integrations across the digital ad ecosystem, its dozens of proprietary models, and in operating the industry’s most robustly instrumented human-reinforcement learning model for creativity. We are looking for a Head of Strategic Data Partnerships who will work with organizations across the adtech ecosystem to advance Vidmob's commercial footprint. This is a team-of-one role built for a serial startup operator — someone who has built partnership functions from scratch, knows how to put the right structures in place, and thrives on executing in white space. You'll grow Vidmob's key monetization pillars as we expand our business via in-depth partnership agreements across demand-side platforms, measurement and attribution providers, data and clean room partners, and creative platforms — with a primary focus on data-driven partnerships. Your expertise in the digital media space, strategic mindset, and relationship-building skills will help inform and amplify our roadmap of targets and opportunities. What you’ll do Inform Vidmob's partner management strategy and modernize our processes for identifying, selecting, onboarding, and nurturing partners Lead full-cycle partner relationships from initial engagement, RFP, agreement development and launch Identify market need, revenue opportunity and strategy to drive existing partnerships forward Collaborate with a diverse set of executive stakeholders across revenue, product, and operations to gather input, align on priorities, and translate cross-functional perspectives into a cohesive partnership strategy Be the voice and representation of Vidmob with all aspects and facets of the partnership, prioritizing establishing deal structure, negotiating, and papering commercial terms. Additionally you will support operations, technology integrations, & partner evaluation. Develop and manage ongoing partnerships across the adtech ecosystem, including advertising platforms, DSPs, measurement and attribution providers, data and clean room partners, and creative intelligence platforms, with a focus on advancing Vidmob's data licensing business Cultivate client relationships in partnership with the sales team to drive new business opportunities Be a trusted advisor and subject matter expert to all partners by supporting performance, evaluation, metrics, etc. What you’ll bring 15+ years of business development experience in the digital advertising space, with extensive experience driving full cycle revenue and large scale partnerships A builder's track record: you have stood up a partnerships function at an early- or growth-stage company, not just managed within one The seniority and presence to walk into high-stakes rooms with C-suite and VP-level decision-makers at major platforms, DSPs, and data companies — and close Meaningful experience in data partnerships, particularly with companies selling, licensing, or enriching third-party data assets, operating identity and ID graph solutions, or enabling clean room data collaboration Strong analytical skills, with the ability to interpret data and derive actionable insights Exceptional leadership and communication skills, with experience building influence across executive stakeholders internally and externally Strong relationships with target partners of ours (closed ecosystems, DSPs, data platforms) Fluency in data-driven advertising and the demand side of the advertising landscape At the end of your first year, you’ll have helped us: Drive meaningful incremental bookings and revenue by building and closing a portfolio of high-impact partnerships from the ground up Execute Vidmob’s vision to be a leader in outcomes, by constructing a number of first-to-market monetization partnerships across the adtech and data ecosystem Lead creative data integrations that have materially impacted the effectiveness and efficiency of some of the world’s largest marketers, and advanced the evolution of the creative data category in the process. Voice strategic ideas and plans to scale, monetize and increase brand-awareness of Vidmob’s unique offerings Establish a rigorous partner management framework that defines how Vidmob identifies, prioritizes, onboards, and evaluates partners going forward Elevate key existing platform relationships into deeper commercial arrangements, with clear roadmaps for next-generation structures Establish strong relationships with key decision-makers and implement successful initiatives that demonstrate Vidmob's unique value and impact Compensation: Base Salary - $154,000-$175,000 Commission - $66,000-$75,000 Please be aware that Vidmob will only contact candidates through emails ending in @vidmob.com. We will never ask for personal information, such as your Social Security number, bank account number, or password, through email. If you receive an email claiming to be from Vidmob that does not come from a @vidmob.com email address, or if the email asks for personal information, please do not respond and report the email to us at IT@vidmob.com Compensation Range: $154K - $175K

Job Description Founded in 2009, EDETEK is a global leader in clinical technology and services, delivering high-quality, AI-powered platforms and solutions to pharmaceutical, biotechnology, and medical device companies. With a presence across four continents and a client base of over 100 biopharmaceutical companies, EDETEK is transforming clinical development through cloud-native technologies, intelligent data management, and automation. Our platforms are built for scalability, interoperability, and compliance. The Director of AI will lead the development and implementation of AI strategies to enhance clinical development processes. This role is responsible for architecting scalable AI solutions, guiding technical execution, and driving innovation across EDETEK’s AI product portfolio. The ideal candidate will have deep expertise in AI and clinical development for life sciences companies, with a strong background in machine learning, data science, and enterprise AI systems. This role requires a dynamic leader who thrives in a fast-paced, startup-like environment and can translate business goals into impactful AI solutions. Essential Functions and Responsibilities 1. AI Strategy & Leadership • Define and execute the AI vision aligned with EDETEK’s strategic goals., • Lead cross-functional teams to deliver AI-driven capabilities across clinical development., • Provide technical leadership and mentorship across the AI engineering team., • Inform and deliver on ambitious product roadmaps to accelerate growth. 1. AI Architecture & Development • Architect and build scalable AI infrastructure and solutions to support business growth., • Oversee model training, optimization, and deployment of end-to-end ML models., • Define best practices for AI/ML lifecycle management and governance., • Ensure compliance with industry standards and regulatory frameworks. 1. Collaboration & Stakeholder Engagement • Collaborate with stakeholders to translate business goals into technical solutions., • Partner with engineering, product, and clinical teams to integrate AI into platform capabilities., • Communicate AI strategy and progress to executive leadership and external partners. 1. Innovation & Technical Execution • Lead initiatives in advanced AI domains including transfer learning, generative models, and reinforcement learning., • Drive the development of enterprise knowledge management systems, NLP frameworks, and semantic data integration., • Implement reasoning methodologies including formal logic inference, graph analytics, and machine learning discovery techniques. Requirements • Master’s degree in Engineering, Computer Science, or a related quantitative field; advanced degree preferred., • 6+ years of hands-on experience in clinical trials and clinical development., • 3+ years of experience building and deploying AI/ML solutions and products., • Strong background in AI/ML fundamentals and software development., • Experience with modern databases, cloud environments, and data ecosystems., • Proven success in leading large-scale projects with multiple stakeholders., • Ability to thrive in a startup-mode environment and manage change effectively., • Excellent communication and interpersonal skills. Preferred Qualifications, • Expertise in transfer learning, unsupervised feature generation, meta-learning, generative text models, reinforcement learning, and Agentic AI., • Proficient in deep programming and production-grade AI implementation., • Experience designing enterprise knowledge systems, semantic web frameworks (RDF, OWL, SPARQL), and healthcare classification systems (SNOMED CT, CDISC, MeSH)., • Advanced data science and mathematical skills (e.g., PhD in computational modeling, machine learning, statistics, computer science). Why Join EDETEK?, • Opportunity to lead and innovate in a dynamic and growing company., • Collaborative and inclusive work environment., • Competitive salary and benefits package., • Make a significant impact on the future of clinical development through AI. Benefits Benefits vary by country, but remain competitive. Below is a sample of the benefits offered to U.S. employees. • Choice of comprehensive Medical, Vision and Dental Insurance plans, • Paid vacation time and sick days, • Corporate holidays annually, • Participation in the 401K Plan, • Comprehensive perks and discount programs for AAA, wholesale, insurance, Rx, fitness, pets, entertainment, etc., • Health Advocate and Employee Assistance ProgramLocation NJ with onsite or hybrid work arrangements. Candidates should be able to be in the area up to 50% of the time. Equal Opportunity Employer Statement EDETEK is an equal opportunity employer and does not unlawfully discriminate against employees or applicants for employment on the basis of an individual’s race, color, religion, creed, sex, national origin, age, disability, marital status, veteran status or any other status protected by applicable law. This policy applies to all terms, conditions and privileges of employment, including recruitment, hiring, placement, compensation, promotion, discipline, and termination. Whenever possible, the company makes reasonable accommodations for qualified individuals with disabilities to the extent required by law.

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

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

AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

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

AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world. The Principal, Business Development – Physical AI is a strategic market-creation role responsible for developing and driving the Go-To-Market (GTM) strategy for the entire Physical AI ecosystem. You will act as the founding commercial lead, bridging the gap between our infrastructure and the three pillars of the industry: Model Builders (Foundation Models), Robot Builders (Humanoids/Autonomous Systems), and ISVs (Simulation/Data Tools). You will own the ecosystem strategy, ensuring Nebius becomes the default infrastructure for embodied intelligence. Operating at the intersection of supply (Nebius technology) and demand (The Physical AI Ecosystem), you will architect the strategy for winning developer mindshare, validate it through "Lighthouse" wins, and scale it by enabling the broader field. This is a definitive "Zero to One" opportunity to define the commercial strategy for a new category of cloud infrastructure from the ground up. You’re welcome to work remotely from the United States (SF Bay Area, CA & Austin, TX Preferred) Your responsibilities will include: • Ecosystem GTM Strategy: Create and own the comprehensive Go-To-Market strategy for the Physical AI vertical. Define the segmentation, targeting, and positioning for Model Builders, Robot Builders, and ISVs, ensuring we have a cohesive narrative for the entire value chain., • Lighthouse Deal Execution: Identify and secure relationships with the top 10 most innovative companies in the ecosystem (e.g., Foundation Model builders, Humanoid startups), converting them into "Design Partners" whose successvalidates our platform., • Drive Ecosystem Revenue: Own the long-term revenue trajectory of the Physical AI domain, ensuring that early "Lighthouse" technical wins translate into massive, high-volume compute consumption as our customers scale their training and simulation workloads., • Field Enablement: Act as a force multiplier for the sales organization by codifying your market learnings into a scalable "Physical AI Playbook." Create battle cards, training modules, and positioning guides to enable the core Sales, Marketing, and Partnership teams to identify and close opportunities independently., • ISV & Partner Alignment: Map the critical software stack (Simulation platforms, Data Labeling, Middleware) and structure partnerships that create a frictionless developer experience. Ensure our GTM strategy aligns with these partners to drive co-sell motions., • Product Signal: Serve as the primary sensor for Product & Engineering, synthesizing complex customer requirements regarding simulation, synthetic data, and reinforcement learning into clear product signals., • Orchestrate Joint Value: Structure "first-of-their-kind" partnerships and design partner agreements that serve as templates for the rest of the organization, moving beyond standard cloud consumption contracts., • Ecosystem Evangelism: Evangelize our vision at industry events (e.g., CVPR, CoRL, ICRA) and executive briefings, positioning Nebius not just as a vendor, but as a fellow innovator in the stack., • Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings, friction points, and unmet needs are tracked, communicated, and acted upon by leadership. We expect you to have: • 7+ years of experience in business development, strategic partnerships, or product strategy within Cloud, AI, or Robotics., • GTM Strategy Experience: Proven ability to define a strategy from scratch—segmenting a market, defining the pitch, and building the playbook for others to follow., • Market Maker Capacity: Experience taking new, complex technologies and finding their first foothold with technical early adopters before a playbook existed., • Deep Domain Fluency: You speak the language of the builders. You understand the difference between Sim2Real gaps, foundation model training, and inference latency. You know the key players (startups and ISVs) in the modern robotics stack., • Enablement Mindset: You enjoy teaching and scaling knowledge. You can take complex technical wins and distill them into simple, repeatable sales motions for a broader team., • Cross-Functional Orchestration: Proven track record of working across Sales, Marketing, Product Marketing, and Partnerships to align distinct teams behind a unified GTM strategy and execution plan., • Startup DNA: Experience working with (or within) high-growth, venture-backed startups. You understand the urgency, the technical depth, and the pivot-ready nature of this customer base., • Communication: Strong executive presence and communication skills, capable of holding your own with VC-backed founders and CTOs., • Comfort in Ambiguity: Experience operating in fast-moving environments where the sales motion is not yet defined and requires real-time iteration. Why Nebius: • Market Creation: You aren't just selling a commodity; you are validating and creating the market for specialized Physical AI infrastructure., • Strategic Impact: Operate with real influence over product direction, company-wide sales strategy, and ecosystem development., • Frontier Technology: Work at the bleeding edge of embodied intelligence, engaging with the companies defining the future of the physical world., • High Leverage: Focus on the top 10% of transformative customers and strategic partners that drive the next 90% of growth, • Mission: Help define how intelligence moves from the data center into the physical world. Key Employee Benefits: • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families., • 401(k) Plan: Up to 4% company match with immediate vesting., • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers., • Remote Work Reimbursement: Up to $85/month for mobile and internet., • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Compensation We offer competitive salaries, ranging from $265k - $315k OTE (On Target Earnings) and equity based on your experience, skills, and location. Join Nebius Today! If you’re passionate about pushing the boundaries of AI infrastructure and want to be part of a team that’s shaping the future of AI, we’d love to hear from you. Apply now and become a driving force in our global mission. What we offer • Competitive salary and comprehensive benefits package., • Opportunities for professional growth within Nebius., • Flexible working arrangements., • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

Insurance Underwriter – Excess & Specialty.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

AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

$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.

$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).

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.

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

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.

Salary: $16.50-$22.50/hr Position Summary: The Substitute Teacher will play a crucial role in maintaining the continuity of learning and support for children in the Early Childhood (EC) Division at Children's Aid (CA). This position is designed to provide temporary coverage for classroom teachers and assistant teachers, ensuring that all children continue to reach developmentally appropriate milestones through evidence-based curricula, individualized support, and high-quality learning environments. The Substitute Teacher will work collaboratively with the teaching team to meet the needs of the children and families, aligning with the mission, vision, and core values of CA. Essential Duties: Strategic Oversight • Understand and promote the organization's Mission, Vision, and Core Values to ensure alignment with organizational policies and procedures., • Support the teaching team in implementing strategies that align with educational goals and organizational standards. Curriculum Implementation • Promote high-quality teaching and learning in the classroom to support children's school readiness., • Assist in providing responsive care through individualized planning, instruction, and supervision., • Help design and execute a developmentally appropriate and integrated curriculum that provides opportunities for meaningful exploration. Classroom Preparation • Prepare and organize materials and resources needed for daily lessons, activities, and projects., • Set up and maintain an inviting and conducive learning environment, including the arrangement of learning centers and displays. Small Group and Individualized Instruction • Conduct small group activities under the guidance of the lead teacher and or Education Director to reinforce lesson concepts and provide additional support to students as needed., • Work one-on-one with students who require extra assistance, ensuring personalized attention to meet specific learning needs. Collaborate with the teaching team to implement individualized education plans (IEPs) and accommodate students with diverse abilities. Behavioral Support • Support the teaching team in maintaining a positive and inclusive classroom environment by reinforcing classroom rules and expectations., • Address behavioral challenges by employing positive reinforcement strategies and seeking guidance from the lead teacher or school administration. Technology Integration • Assist in integrating technology tools into the curriculum, helping students with educational software and managing technology resources within the classroom. Record Maintenance, Screening, and Assessment • Assist in maintaining accurate educational records and portfolios on each child, including implementing child observations, screening, and assessments., • Observe and document students' development to request additional support from the lead teacher or Education Director. Family Engagement • Encourage parent involvement and communication through newsletters, bulletin boards, classroom events, and an "open-door" policy., • Participate in home visits, Parent/Teacher conferences, Open Houses, and/or Family Days as needed., • Assist in recruiting new families for the program through community outreach and hosting recruitment events. Data Analysis • Collect, analyze, and report on data related to student progress and classroom activities to inform continuous improvement efforts., • Utilize data to identify trends, gaps, and areas for improvement in instructional practices and student support. Professional Development • Participate in all agency-offered trainings, workshops, In-Service days, and/or All-Staff conferences., • Maintain certification requirements and proof of attendance in professional activities., • Support the growth of the center by participating in program-wide goal setting, self-assessment, and reflection coaching experiences. Health and Safety • Adhere to all state and city licensing requirements, including teacher-child ratios, CPR/first aid, Child Abuse Mandate, and Infectious Control., • Maintain a safe and healthy environment for children, ensuring that classrooms are clean and well-maintained., • Abide by privacy laws, including HIPAA., • Must comply with all health and safety guidelines, including maintaining a safe environment for children in accordance with CDC, DOHMH, and ECERS guidance., • Perform other duties as assigned by supervisor Minimum Qualifications: Each Substitute Teacher must have qualifications that satisfy Federal Head Start requirements, the New York City Department of Health and Mental Hygiene Article 47 regulations, and Universal Preschool Guidelines. Depending on education and certification, candidates may be classified as: • Substitute I: A High School/ Local/IEP Diploma or GED is required, • Substitute II: Associate's Degree or equivalent credits (in any area) and a Child Development Associate (CDA) credential or enrollment in a CDA program to be completed within 2 years., • Substitute III: Bachelor's Degree (in any area) and a CDA credential or enrollment in a CDA program to be completed within 2 years., • Substitute IV: Master's Degree (in any area) and a CDA credential or enrollment in a CDA program to be completed within 2 years. Key Competencies: • Bilingual in English and Spanish preferred., • Experience working with infants, toddlers, and children with special needs., • Passionate about teaching and learning with young children., • Effective communication skills and a professional approach., • Reflective on teaching practices and committed to continuous improvement. It is the policy of Children's Aid to provide equal employment opportunity to all employees and applicants for employment and is dedicated to maintaining a work environment that is free from harassment and discrimination. Children's Aid will not tolerate discrimination, harassment, or retaliation on any basis, including race, creed, color, national origin, ethnicity, alienage or citizenship status, gender/sex (including pregnancy), disability, religion, source of income, sexual orientation, gender identity or expression, age, familial status, caregiver status, military status, marital or partnership status, status as a victim of domestic violence, sexual violence or stalking, predisposing genetic characteristics, arrest or conviction record, credit history, unemployment status or any other characteristic protected by federal, state or local law. Children's Aid is committed to complying with applicable state and local laws governing non-discrimination in employment. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Children's Aid will conduct a prompt and thorough investigation of all allegations of discrimination, harassment, retaliation, or any violation of the Equal Employment Opportunity Policy in a confidential manner and will take appropriate corrective action, if and where warranted. Children's Aid prohibits retaliation against employees who provide information about, complain about, or assist in the investigation of any complaint of discrimination or violation of the Equal Employment Opportunity Policy. The incumbent is expected to work a schedule, whether in-person or hybrid, as determined by the department's needs to facilitate effective collaboration with the team. This flexibility is essential for maintaining seamless communication, fostering teamwork, and ensuring the smooth operation of the department's processes. The position's requirements are subject to periodic review and adjustment based on organizational needs and changes in work dynamics. EducationHigh School (preferred) Experience1 years: Experience working with children with special needs (required) Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the _ notice from the Department of Labor.

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

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

Pay range: $21.24/hr. to $22.72 per year with union benefits Monday through Friday 8a-4p Position Summary: Early Childhood (EC) Division at Children's Aid (CA) is founded on the belief that strong communities are built by children and families who have the access and skills and choice to create pathways to their success. The Early Childhood Department serves over 700 low-income children ages 0-5 and their families in schools and community centers throughout Manhattan, Staten Island and the Bronx through a combination of Federal, State and City funding. We believe that strong communities are built by children and families who have access, skills and choice to create pathways to their success. Each Assistant Teacher will work with their teaching team to ensure that all children reach developmentally appropriate milestones through the implementation of evidence-based curricula, individualized support, and high-quality learning environments. Assistant Teachers will focus on making sure that all the children and families will be ready to be successful in Kindergarten and in life while ensuring that all Head Start Performance Standards and site-specific funding regulations are met or exceeded. Essential Duties: Under the direct supervision of the site's Education Director, the Assistant Teacher's responsibilities include assisting the lead teacher with the following: Strategic Oversight • Understand and promote the organization's Mission, Vision, and Core Values to ensure alignment with organizational policies and procedures., • Support the lead teacher in implementing strategies that align with educational goals and organizational standards. Curriculum Implementation • Promote high-quality teaching and learning in the classroom that leads to children's school readiness, • Create an environment in which children develop trusting and accepting relationships with adults and peers that foster growth and development, • Design and execute a developmentally appropriate and integrated curriculum which provides opportunities for children's meaningful exploration, • Provide responsive care to all children through individualized planning, instruction, and supervision Classroom Preparation • Prepare and organize materials and resources needed for daily lessons, activities, and projects, • Set up and maintain an inviting and conducive learning environment, including the arrangement of learning centers and displays Small Group Instruction • Conduct small group activities under the guidance of the lead teacher to reinforce lesson concepts and provide additional support to students as needed, • Monitor and assess student progress during small group sessions, providing feedback to the lead teacher Individualized Instruction • Work one-on-one with students who may require extra assistance, ensuring they receive personalized attention to meet their specific learning needs, • Collaborate with the lead teacher to implement individualized education plans (IEPs) and accommodate students with diverse abilities Behavioral Support: • Support the lead teacher in maintaining a positive and inclusive classroom environment by reinforcing classroom rules and expectations, • Address behavioral challenges by employing positive reinforcement strategies and seeking guidance from the lead teacher or school administration Technology Integration • Support the integration of technology tools into the curriculum, helping students with educational software and assisting in managing technology resources within the classroom. Record Maintenance, Screening and Assessment • Assist in the administration and scoring of assessments to track student progress and contribute to the overall assessment process, • Provide feedback to the lead teacher on student performance and areas that may require additional focus, • Oversee and maintain accurate records on each child including overseeing screening and assessment tools, • Observe and document students' development to request additional support from lead teacher and or Educational Director Family Engagement • Encourage parent involvement and communication through newsletters, bulletin boards, classroom events, center-wide activities, and "open-door" policy, • Participate in home visits, Parent/Teacher conferences, Open Houses, and/or Family Days, depending on the center and the funding requirements, • Recruit new families for our program through tabling, advertising in the school community, and hosting recruitment events Data Analysis • Collect, analyze, and report on data related to student progress and classroom activities to inform continuous improvement efforts., • Utilize data to identify trends, gaps, and areas for improvement in instructional practices and student support. Professional Development • Participate and attend all agency offered trainings, workshops, In-Service days, and/or All-Staff conferences, • Maintain certification requirement and proof of attendance in professional activities, • Support the growth of the center including participating in program-wide goal setting and individual and program self-assessment, • Complete all Early Childhood required trainings, • Engage in self-assessment and reflection coaching experiences such as completing self-assessment surveys, video recording, coaching, and collaboration sessions, • Maintain active membership with Aspire and or "Registered" TEACH Account linked to CA Health and Safety • Adhere to all state and city licensing requirements, teacher child/ratios, CPR/first aid, Child Abuse Mandate, Infectious Control, and Mental Health First Aid certification, • Maintain a healthy and safe environment for children (i.e. clean toys, shelves, neat classrooms, reported damaged / broken equipment toys, etc.), • Must abide by privacy laws, including HIPAA, etc. Minimum Qualifications: The Assistant Teacher must have qualifications that satisfy Federal Head Start requirements, the New York City Department of Health and Mental Hygiene Article 47 regulations, and Universal Preschool Guidelines. Depending on one's education and certification, an Assistant Teacher may fall into one of the following categories: Assistant Teacher I: Must possess an Associate's Degree or equivalent credits (in any area) and a Child Development Associate (CDA) credential or be enrolled in a CDA credential program that will be completed within 2 years, which is a condition of employment that cannot be extended. Assistant Teacher II: Must possess a Bachelor's Degree (in any area) and a Child Development Associate (CDA) credential or be enrolled in a CDA credential program that will be completed within 2 years, which is a condition of employment that cannot be extended. Assistant Teacher III: Must possess a Master's Degree (in any area) and a Child Development Associate (CDA) credential or be enrolled in a CDA credential program that will be completed within 2 years, which is a condition of employment that cannot be extended. Key Competencies: • Bilingual in English and Spanish, • Two years' experience working with infants and toddlers, and children with special needs, • Dedicated, excited and passionate about teaching and learning with young children, • Professional approach with effective communication skills., • Reflective on own teaching practice and willing to develop and increase capacity, • Must abide by privacy laws, including HIPAA, etc. Equal Employment Opportunity EEO Statement: It is the policy of Children's Aid to provide equal employment opportunity to all employees and applicants for employment and is dedicated to maintaining a work environment that is free from harassment and discrimination. Children's Aid will not to tolerate discrimination, harassment or retaliation on any basis, including race, creed, color, national origin, ethnicity, alienage or citizenship status, gender/sex (including pregnancy), disability, religion, source of income, sexual orientation, gender identity or expression, age, familial status, caregiver status, military status, marital or partnership status, status as a victim of domestic violence, sexual violence or stalking, predisposing genetic characteristics, arrest or conviction record, credit history, unemployment status or any other characteristic protected by federal, state or local law. Children's Aid is committed to complying with applicable state and local laws governing non-discrimination in employment. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Children's Aid will conduct a prompt and thorough investigation of all allegations of discrimination, harassment, or retaliation, or any violation of the Equal Employment Opportunity Policy in a confidential manner and will take appropriate corrective action, if and where warranted. Children's Aid prohibits retaliation against employees who provide information about, complain about, or assist in the investigation of any complaint of discrimination or violation of the Equal Employment Opportunity Policy. The incumbent is expected to work a schedule, whether in-person or hybrid, as determined by the department's needs to facilitate effective collaboration with the team. This flexibility is essential for maintaining seamless communication, fostering teamwork, and ensuring the smooth operation of the department's processes. The position's requirements are subject to periodic review and adjustment based on organizational needs and changes in work dynamics. EducationAssociates of Education (required) Experience2 years: Two years' experience working with infants and toddlers, and children with special needs (required) Skills • Ability to Speak Spanish (preferred) Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the _ notice from the Department of Labor.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and, • Judi, the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit _. Location: Remote (For Non-Local) or Hybrid (Local to NYC or Denver area) Position Summary The Learning & DevelopmentLead-Technology is the dedicated learning partner fortheTechnologyorganization, focused on improving delivery effectiveness through capability building, consistent onboarding, and practicalenablementresources. This role uses a consulting and business partnering approach to diagnose performance needs, design scalable learning and performance support, and partner with leaders to strengthentechpractices across teams. Position Responsibilities Consulting & Business Partnership • Serve as the primary L&D partner forTechnologyleaders andcommunity;establishan intake rhythm and learning priorities aligned to delivery goals., • Conduct structured needs assessments (organization / role / task) toidentifyroot causes behind development needsand recommend the right mix of solutions (not always training)., • Build trusted partnerships and drive adoption through clear communication, stakeholder alignment, and shared accountability for outcomes. Agile Enablement & Practice Development (Scalable, Practical) • Design and deliver enablement that strengthens core concepts and shared language (e.g., MVP/MMF/MMP, iteration/incrementation, estimation and sizing practices)., • Create reusable toolkits, job aids, and bite-sized learning assets that support on-the-jobapplication., • Partner withtechnologyleaders to embed reinforcement into operating cadences (retrospectives, team health checks, and delivery routines). Standardized Onboarding & Knowledge Base (Reducing Duplication) • Lead or support the centralization and refinement ofTechnologytraining materials to reduce duplicative documentation and improve onboarding consistency across teams., • Develop track-specific onboarding resources (how we deliver here, tools and norms, key workflows) to accelerate time-to-contribution. Program Design, Delivery & Facilitation • Own end-to-end design and delivery foranenablement portfolio (scope design pilot launch iterate), using strong project management and stakeholder communication., • Facilitate sessions directly and/or coordinate internal facilitators whilemaintainingquality and consistency across offerings. Measurement & Continuous Improvement (Impact Focus) • Define success measures and evaluation plans for key enablement efforts (reaction, learning, behavior/application; results wherefeasible)., • Use participation, feedback, and adoption signals to improve programs and provide concise, executive-ready updates and recommendations., • Administer andmaintainthe learning management system (LMS) back-end for Technology enablement programs, including course setup, audience assignment/enrollment, completion tracking, and reporting dashboards to support measurement and compliance needs. Values-Based Enablement & Inclusive Practice • Embed inclusive learning and accessibility practices and reinforce consistent leadership and team behaviors through clear, practical enablement., • Support change enablement by providing communication-ready resources, job aids, and reinforcement guidance for leaders. Qualifications Required Education and Experience • Bachelor's degree in Human Resources, Organizational Development, Education, Business, Psychology, ora relatedfield (or equivalent experience)., • 5+ years of progressive experience in Learning & Development, Talent Development, Organizational Development, or performance consulting., • Demonstrated capability in needs assessment, program design, facilitation, stakeholder partnership, and program/project management., • Experience partnering with technical or delivery organizations and translating complex practices into practical, usable enablement., • Experience administering a Learning Management System (LMS) and producing reliable participation/completion reporting to support program evaluation and stakeholder updates. Preferred Qualifications • Familiarity with learning measurement/evaluation approaches and using data to drive continuous improvement., • Relevant certifications (talent development, facilitation, coaching, evaluation, or change management). Knowledge, Skills, and Abilities • Consulting and business partnering skills; ability to diagnose needs and influence without authority., • Strong project/program management and stakeholder communication., • Excellent facilitation and learning design grounded in adult learning practices., • Ability to build reusable standards, toolkits, andknowledgeresources that scale across teams., • Ability to use data and feedback to improve learning experiences anddemonstrateimpact. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$98,000—$155,000 USDNew York, NY Salary Range$124,000—$155,000 USDDenver, CO Salary Range$113,600—$142,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at_.

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.

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases., • Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets., • Comfortable with light travel (approximately 10%) for customer interaction and team needs. This role will require an active security clearance or the ability to obtain a security clearance. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Ability to convert research insights into measurable evaluation criteria. Nice to haves: • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design., • Experience in regulated, classified, or mission-critical ML domains. 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:$240,450—$300,300 USDPlease 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 Washington DC, Texas, Colorado, Hawaii is:$216,300—$269,850 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, • 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

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.

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Work on intelligent systems that operate in one of the most highstakes domains, where trust, reliability, and defensibility truly matter. Agentic AI at Scale • Build and extend AI systems that reason across millions of documents, cite their decisions, and automate complex legal workflows. Scientific Rigor and RealWorld Impact • Apply deep experimentation and statistical validation to systems that ship to real customers and influence real outcomes. Leadership and Growth • Lead technically while continuously learning in a thoughtful, supportive, and intellectually rich Applied Science organization. Collaborative Culture • Join a team that values kindness, curiosity, technical excellence, and shared ownership of outcomes. Compensation and Benefits • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews. You will: • Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business., • Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles., • Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements., • Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams. You have: • BS in Computer Science, ML, Robotics, similar technical field of study, • 2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles, • Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact, • Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch), • Proficient programming skills (eg: Python, C/C++), • Strong analytical and debugging skills We prefer: • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field, • Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP, • General software engineering experience solving motion planning or related robotics problems, • Experience applying or evaluating ML-based systems in production environments, • Experience with performance optimization of deep models, including with respect to specific hardware architectures #LI-Hybrid 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$175,000—$215,000 USD

Salary: $23.51-$42.40/year with union benefits Monday-Friday 8a-4p Position Summary: Each Lead Teacher will ensure that all children reach developmentally appropriate milestones through the implementation of evidence-based curricula, individualized support and high-quality learning environments. Lead Teachers will focus on making sure that all the children and families will be ready to be successful in Kindergarten and in life, while ensuring that all Head Start Performance Standards and site-specific funding regulations are met or exceeded. Essential Duties: Under the direct supervision of the site's Education Director, the Lead Teacher's responsibilities include the following: Strategic Oversight • Understand and promote the organization's Mission, Vision, and Core Values to ensure alignment with organizational policies and procedures., • Support the lead teacher in implementing strategies that align with educational goals and organizational standards., • Oversee additional teachers and volunteers in the classroom Curriculum Implementation • Promote high-quality teaching and learning in the classroom that leads to children's school readiness, • Provide responsive care to all children through individualized planning, instruction, and supervision, • Plan and establish an environment in which children develop trusting and accepting relationships with adults and peers that foster growth and development, • Design and execute a developmentally appropriate and integrated curriculum which provides opportunities for children's meaningful exploration Classroom Preparation • Prepare and organize materials and resources needed for daily lessons, activities, and projects, • Set up and maintain an inviting and conducive learning environment, including the arrangement of learning centers and displays Small Group Instruction • Conduct small group activities under the guidance of the lead teacher to reinforce lesson concepts and provide additional support to students as needed, • Monitor and assess student progress during small group sessions, providing feedback to the lead teacher Individualized Instruction • Work one-on-one with students who may require extra assistance, ensuring they receive personalized attention to meet their specific learning needs, • Collaborate with the lead teacher to implement individualized education plans (IEPs) and accommodate students with diverse abilities Behavioral Support: • Support the team in maintaining a positive and inclusive classroom environment by reinforcing classroom rules and expectations, • Address behavioral challenges by employing positive reinforcement strategies and seeking guidance from the team or school administration Technology Integration • Support the integration of technology tools into the curriculum, helping students with educational software and assisting in managing technology resources within the classroom Record Maintenance, Screening and Assessment • Responsible for maintaining accurate educational records and portfolios on each child, implementing child observations, screening and assessments, • Ensuring children receive a developmental and behavioral screen within the first 45 days of school and assessment at three different points over the course of the year (November, February and May), • Observe and document students' development to request additional support from Education Director through an internal referral process Family Engagement • Encourage parent involvement and communication through a variety of methods (e.g., newsletters, bulletin boards, classroom events, center-wide activities, and "open-door" policy), • Facilitate meetings with families when there are outstanding developmental or behavioral needs with children, • Participate in home visits, Parent/Teacher conferences, Open Houses, and/or Family Days, depending on the center and funding requirements, • Share highlights of families, kids, staff, and community partners; Educate and engage our online social media community with the EC Instagram committee, • Recruit new families for our program through tabling, advertising in the school community, and hosting recruitment events Data Analysis • Collect, analyze, and report on data related to student progress and classroom activities to inform continuous improvement efforts., • Utilize data to identify trends, gaps, and areas for improvement in instructional practices and student support. Professional Development • Participate and attend all agency offered trainings, workshops, In-Service days, and/or All-Staff conferences, • Maintain certification requirement and proof of attendance in professional activities, • Support the growth of the center including participating in program-wide goal setting and individual and program self-assessment, • Complete all Early Childhood required trainings, • Maintain active membership with Aspire and or "Registered" TEACH Account linked to CA, • Engage in self-assessment and reflection coaching experiences such as completing self-assessment surveys, video recording, coaching, and collaboration sessions. Health and Safety • Adhere to all state and city licensing requirements, teacher child/ratios, and CPR/first aid, Child Abuse Mandate, Foundations for Health and Safety, Blood Borne Infection and Mental Health First Aid certification, • Maintain a safe and healthy environment for children aligned to CDC, DOHMH and ECERS guidance, • Must abide by privacy laws, including HIPAA, etc., • Perform other related duties as assigned Qualifications: The Lead Teacher must have qualifications that satisfy Federal Head Start requirements, the New York City Department of Health and Mental Hygiene Article 47 regulations, and Universal Preschool Guidelines. Depending on one's education and certification, a Lead Teacher may fall into one of the following categories: Lead Teacher: Must be on a Department of Health (DOH) approved study plan as per article 47 regulations; and must have an Associate's Degree in early childhood education OR 90 or more undergraduate credits and one year of classroom teaching experience in Pre-K, Kindergarten or grades 1-2. Lead Teacher I: Bachelor's Degree required in early childhood education or a related field and two years of supervised and documented relevant experience in a pre-school program. Lead Teacher II: Bachelor's Degree required; and must have a valid New York State Teaching Certification that may be non-Early Childhood focus (example: Childhood Education 1-6). Lead Teacher III: Bachelor's Degree required; and must have one of the following Early Childhood Teaching Certifications valid within the state of New York: Early Childhood (Birth - Grade 2); Nursery, Kindergarten and Grades 1-6; Prekindergarten - Grade 6 certification; Students with Disabilities (Birth - Grade 2); Transitional B (TFA Only). Lead Teacher IV: Master's Degree required and relevant experience. Lead Teacher V: Master's Degree required; and must have a valid New York State Teaching Certification that may be non-Early Childhood focus (example: Childhood Education 1-6). Lead Teacher VI: Master's Degree required; and must have one of the following Early Childhood Teaching Certifications valid within the state of New York: Early Childhood (Birth - Grade 2); Nursery, Kindergarten and Grades 1-6; Prekindergarten - Grade 6 certification; or Students with Disabilities (Birth - Grade 2). Key Competencies: • Bilingual in English/Spanish., • Two years' experience working with infants and toddlers, and children with special needs., • Dedicated, excited and passionate about teaching and learning with young children., • Professional approach with effective communication skills., • Reflective on own teaching practice and willing to develop and increase capacity., • Hold Pre-K or Toddler CLASS Reliability Certificate preferred. Equal Employment Opportunity (EEO) Statement It is the policy of Children's Aid to provide equal employment opportunity to all employees and applicants for employment and is dedicated to maintaining a work environment that is free from harassment and discrimination. Children's Aid will not to tolerate discrimination, harassment or retaliation on any basis, including race, creed, color, national origin, ethnicity, alienage or citizenship status, gender/sex (including pregnancy), disability, religion, source of income, sexual orientation, gender identity or expression, age, familial status, caregiver status, military status, marital or partnership status, status as a victim of domestic violence, sexual violence or stalking, predisposing genetic characteristics, arrest or conviction record, credit history, unemployment status or any other characteristic protected by federal, state or local law. Children's Aid is committed to complying with applicable state and local laws governing non-discrimination in employment. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Children's Aid will conduct a prompt and thorough investigation of all allegations of discrimination, harassment, or retaliation, or any violation of the Equal Employment Opportunity Policy in a confidential manner and will take appropriate corrective action, if and where warranted. Children's Aid prohibits retaliation against employees who provide information about, complain about, or assist in the investigation of any complaint of discrimination or violation of the Equal Employment Opportunity Policy. The incumbent is expected to work a schedule, whether in-person or hybrid, as determined by the department's needs to facilitate effective collaboration with the team. This flexibility is essential for maintaining seamless communication, fostering teamwork, and ensuring the smooth operation of the department's processes. The position's requirements are subject to periodic review and adjustment based on organizational needs and changes in work dynamics. EducationAssociates (required) Experience2 years: Experience working with infants and toddlers, and children with special needs. (required) Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the _ notice from the Department of Labor.

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

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like and . Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers, • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • Comfortable with light travel (approximately 10%) for customer interaction and team needs, • This role will require an active security clearance or the ability to obtain a security clearance, • Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems, • Familiarity with ML evaluation frameworks and agentic model design 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:$240,450—$300,300 USDPlease 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 Washington DC, Texas, Colorado, Hawaii is:$216,300—$269,850 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 Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. You will: • Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction, • Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business, • Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning, • Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production, • Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues You have: • PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience, • A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP), • Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions, • Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch, • Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities We prefer: • Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models, • Prior industry experience (e.g. internships) in applied ML research or software development, • Domain expertise in solving motion planning, prediction, or related robotics problems, • Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments #LI-Hybrid 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$175,000—$215,000 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 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. You will: • Report into the TLM for the Learned Metrics Team, • 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, • 2+ 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: • 4+ 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$204,000—$259,000 USD

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.

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. 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 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 machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Strong communicator and team player. Being able to find solutions for open-ended problems. Preferred Qualifications: • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Passion for applied ML and the Pinterest product Why Intern at Pinterest? • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. 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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices. 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. 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 The salary for this position is $12,100 monthly. #LI-HYBRID #LI-EB1 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.

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. About our AgentOps team: The vision for the AgentOps team is to build the best Agent Development Platform in the AI Industry. Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles. As a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations ("AgentOps"), including building, deploying, monitoring, evaluating and improving agents to solve customer needs. With the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable. We want to create a virtuous data flywheel where agents built using this platform see continuous performance improvements and increase customer value over time. We are a rapidly growing team with ambitious goals, and are looking for motivated individuals to join us to make an impact in a green-field domain. Responsibilities: • Manage the engineering team and drive technical delivery, • Comfortable working cross functionally, whether that be internal or external customers, • Work across the entire product lifecycle from conceptualization through production, • Build features end-to-end: back-end, system design, debugging and testing, • Deliver experiments at a high velocity and level of quality to engage our customers, • Influence the culture, values, and processes of a growing engineering team, • Inspire and mentor engineers, • Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: • At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred, • Proven success in leading, managing, and developing high-performing Engineering teams, • Expertise in identifying product engagement patterns and trends for large scale consumer products, • Track record of shipping high-quality products and features at scale, • Desire to work in a very fast-paced environment, • Ability to turn business and product ideas into engineering solutions, • Excellent problem-solving skills, and be able to work independently or as part of a team., • Excited to join a dynamic, hybrid team in either 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:$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.

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.

Are you ready to take the helm in shaping the future of tactical mission autonomy, standing shoulder-to-shoulder with trailblazers who are turning cutting-edge dreams into tangible reality? As a vital member of the growing EpiSci team, your influence will be immediate and transformative as we propel towards a future where security and autonomy unite in unprecedented ways. EpiSci isn't just another company; we're a rapidly ascending force of innovation, forging ahead with next-gen tactical mission autonomy technologies that span defense, aerospace, and commercial domains. At our core, we wield the latest advancements in artificial intelligence, autonomy algorithms, wireless communications, and digital signal processing to surmount the most formidable national security challenges. Our Tactical AI prowess is nothing short of extraordinary, offering robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Picture developing AI aviators for cutting-edge aircraft like the F-22 and F-16, revolutionizing wireless tactical communication systems, and fueling the skies with swarms of autonomous UAVs supercharged by sensor fusion. As a Microservices Software Engineer at EpiSci, your role is pivotal, entailing dynamic endeavors that encompass designing and actualizing architectures and systems across a spectrum of Tactical autonomy applications. Here, you won't just follow the norm; you'll be crafting groundbreaking, hybrid autonomous algorithms that redefine the boundaries of both commercial and defense applications. The challenge is profound and the rewards are immeasurable, as you build superior systems that empower our military with unrivaled capabilities. We understand and cherish the richness that diverse perspectives and backgrounds bring to the table. At EpiSci, we wholeheartedly invite every exceptional individual, regardless of their journey, to join our ranks and become a driving force behind the secure and autonomous world of tomorrow. Your future at EpiSci awaits—ignite your potential and let's redefine what's possible, together. Don't meet every single requirement? At EpiSci, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci. \n Responsibilities • Create and integrate software microservices that operate real autonomous aircraft systems including F16 fighter jets, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions., • Collaborate with autonomy engineers to implement production level microservice architectures to control autonomous UASs., • Establish and improve software testing and debugging tools for autonomy solutions implemented as service-oriented architectures., • Implement, leverage and refactor, and improve state-of-the-art unmanned aerial system (UAS) autonomy algorithms in programming languages for the following autonomy categories to perform tactical military missions:, • Autonomy loops such as: “Sense, Make Sense, Decide, Act (SMDA)”, “Observe, Orient, Decide, Act (OODA)” loops., “Perceive, Decide, Act’ (PDA)” loops., • Sense: Environment sensing and modeling, computer vision, sensor processing, classification, anomaly detection., • Make Sense: Environment mapping, data interpretation, 3D voxel grids, GeoGrids, WGS84, aerospace coordinate systems and reference frames (north east down (NED), Geocentri & Geodetic latitudes, Earth-centered-inertial (ECI), earth centered earth fixed (ECEF)), no fly zones, keep-in/keep-out zones. Sensor fusion and target tracking, etc. Find, fix, track, target (F2T2)., • Decide: State machines, behavior trees, optimization algorithms, constraint solving, classic algorithms (A, RRT, DFS, BFS, Branch & Bound, Random Forests), heuristics, optimization, Kalman filters, particle filters, etc. Artificial intelligence techniques such as deep reinforcement learning, reinforcement learning, machine learning, neural networks, supervised learning, unsupervised learning, generic algorithms, Bayesian networks, fuzzy logic, etc., • Act: Autonomous 2D & 3D UAS trajectory/motion planning, route planning, SLAM. Classical controls systems, optimal control systems, adaptive control systems, model predictive control systems, especially for integration of 3rd party UAS autopilots. Guidance, navigation, and controls (GNC)., • Build, leverage, and improve robotic autonomy software architectures that can be deployed on real systems to accomplish military missions (including publish/subscribe architectures)., • Design autonomy software in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc., • Support live flight test of autonomy software on aircraft such as F16s, and group 1-5 unmanned aerial vehicles (UAVs)., • Collaborate with 3rd party UAS vehicle vendors on the integration of EpiSci autonomy software onto OEM UAS hardware., • Collaborate with domain experts and prior DoD warfighters (ex. DoD fighter pilots) to build software autonomy solutions for military missions. Minimum Qualifications • Education Requirements:, • Master’s degree in computer science/related engineering field., • 6+ years of hands-on experience developing Python, and Rust software for autonomous robotic systems., • Technical Requirements:, • Experience in developing software for autonomous robotic systems in Python, and Rust, • Strong procedural and object-oriented programming experience that employs clean code principles and good design patterns., • Strong software architecture design experience., • Experience developing in Docker and containerized development environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu)., • Experience using git, Visual Studio Code, GitLab, SonarQube, Azure Container registry., • Experience using microservice development and testing tools such as Kubernetes, Pytest, Grafana, Postman, and Hoverfly., • Experience with cross-language schema development and maintenance using tools such as Protobuf., • Additional Requirements:, • Passion for solving complex problems with little supervision in a fast-moving team., • Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment., • Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams., • Travel Requirements, • Must be willing to travel as projects requires. Estimated average travel is once every other month for between 2 days up to 1 week. (~20%), • Location Requirements, • Remote., • Security Requirements, • (MANDATORY) Must be a U.S. Citizen., • (MANDATORY) Must be eligible for a U.S. SECRET security clearance with Special Access Program (SAP) eligibility. Preferred Qualifications • Education Requirements:, • Master’s degree in computer science/related engineering field., • 9+ years of experience developing software for autonomous robotic systems in multiple programming languages., • Technical Requirements:, • Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing., • High proficiency in modern C++ (2011, 2017, 2020, smart pointers, etc.) w/CMAKE in Docker-based Linux environments., • Familiarity with military architecture standards such as OMS UCI., • Experience creating and modifying CI/CD pipelines to automate developer tasks., • Experience working projects related to national security for one or more government agencies., • Interdisciplinary background, with evidence of continual learning., • Security Requirements, • (MANDATORY) Current U.S. SECRET security clearance with Special Access Program (SAP) eligibility. \n$100,000 - $190,000 a year\n EpiSci is proud to be an equal opportunity and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity or Veteran status. We value our differences and we’re excited to learn what you can add to our team. Don't meet every single requirement? At EpiSci, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci.

About Us: HavocAI is an innovative defense technology company making scalable maritime autonomy a reality. We are pioneering an end-to-end solution for planning, tasking and control of uncrewed surface vessels (USVs). As we continue to quickly grow, we are looking for motivated individuals that are inspired to work within an extremely energetic, creative, and innovative team that is passionate about maritime robotics and exploring the open ocean. We work in a highly dynamic environment where collaboration and idea sharing are a way of life. About the Role: At HavocAI, you’ll be key in advancing autonomous mission planning by designing and optimizing reinforcement learning models for AI-driven platforms. You’ll collaborate across teams to integrate ML algorithms into robotic systems and rigorously test performance using simulation environments. If you have hands-on ML expertise, a strong foundation in reinforcement learning, and a passion for deploying mission-critical solutions, we invite you to join our innovative team.. Key Responsibilities: • Mission Planner and Agent Development: Design, develop, train, and optimize models tailored for mission autonomy applications, with a focus on implementing reinforcement learning and other optimization algorithms. These models will focus on high level coordination and strategy generation for AI-enabled platforms., • System Integration: Collaborate with robotics, systems engineering, and data science teams to integrate ML algorithms into autonomous platforms., • Simulation & Testing: Develop and maintain simulation environments (e.g., a Gym or PettingZoo) to rigorously test and validate model performance under various mission scenarios., • Performance Analysis: Analyze data from simulations and field tests, iteratively refining algorithms to enhance reliability, robustness, performance, and efficiency., • Research & Innovation: Stay abreast of the latest advancements in ML, RL, and autonomous systems; prototype innovative approaches and implement best practices., • Documentation: Maintain comprehensive documentation of experiments, code, and methodologies to facilitate team collaboration and reproducibility. Qualifications: • Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field (advanced degree preferred)., • 3+ years of professional experience in machine learning with an emphasis on reinforcement learning and deep learning., • Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or similar tools., • Hands-on experience with Gyms or similar simulation frameworks and familiarity with RL algorithms such as PPO, DDPG, TD3, SAC, or D-REX., • Solid understanding of algorithm development, optimization techniques, and simulation methods., • Proven ability to deploy and maintain ML models in real-world, mission-critical applications., • Excellent analytical, problem-solving, and communication skills, with a strong collaborative mindset., • Must be a US Citizen Preferred Skills: • Master’s or Ph.D. in a relevant technical discipline., • Experience working on autonomous systems, robotics, or collaborative autonomy projects., • Familiarity with additional simulation platforms (e.g., Gazebo, Unity, MOOS-IvP) and cloud computing environments., • Demonstrated track record of research contributions or publications in ML, RL, or deep learning., • Experience with CI/CD practices tailored for ML model development and deployment. Location: • This position will sit in the Greater Boston Area Compensation and Benefits: • The target salary range for this position is $120,000 - $180,000, • 100% Employer paid Health, Dental and Vision Insurance for you and your families, • Ability to participate in the companies 401k program, • Unlimited PTO policy with an enforced 2 week minimum, • Generous Equity Package, • Generous work / home office Stipend, • Global Entry Re-Imbursement Our Values: • Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology., • Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships., • Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation., • Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity., • Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care., • Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact. HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status.