Research Scientist - World Modeling (Sunnyvale)

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models— the next-generation foundation models to unlock machine intelligence beyond lingual. Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. Key Responsibilities Develop the foundational world model to accurately simulate the physical world. Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters. Develop metrics and evaluation benchmarks to better assess model performance. Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation. Optimize inference efficiency to enable real-time interaction. Areas of Focus Scalable Training Systems : Develop and optimize infrastructure for training multimodal LLMs and video diffusion models at massive scale. Efficient Data Pipelines : Build scalable video data pipelines and annotation frameworks to support high-quality training data. Inference Optimization : Enhance inference efficiency through optimization and distillation techniques to enable real-time interaction. Visual Tokenization : Develop methods for discretizing visual features into tokens for improved model representation. Quantitative Evaluation : Establish rigorous benchmarks to assess physical accuracy, controllability, and intelligence. Scaling Laws for Video Pretraining : Investigate scaling law principles to guide efficient video pre-training strategies. Academic Qualifications MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. Professional Experience Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. Hands‑on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.). Experiences in building and optimizing large-scale video data pipelines. Experience in accelerating diffusion model inference for improved efficiency. Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges. Strong systems and engineering expertise in deep learning frameworks such as PyTorch. Strong communication and collaboration skills for effective cross-functional teamwork. Ability to navigate ambiguity and drive projects in rapidly evolving research areas. Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains. $150,000 - $450,000 a year Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include Comprehensive medical, dental, and vision benefits Bonus 401K Plan Generous paid time off, sick leave and holidays Paid Parental Leave Employee Assistance Program Life insurance and disability J-18808-Ljbffr

Director, Product Marketing (New York)

Why join us Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. What you’ll do As Director of Product Marketing, you will define and drive the product marketing strategy at Brex, leading the charge in positioning our financial products to win in an evolving, competitive market. This role oversees the Product Marketing function, uniting cross-functional teams to deliver market-leading growth while ensuring Brex’s offerings are marketed in alignment with customer needs and business goals. Reporting to the Chief Design Officer, this role sits at the intersection of product strategy, customer insight, marketing strategy, and creative execution. You’ll partner closely with product, sales, design, and marketing teams to shape the portfolio narrative, launch products, define campaign messaging and tactics, drive adoption, and solidify Brex as a leader in financial services and software. You will drive measurable impact on pipeline generation, win rates, expansion revenue, and product adoption. Where you’ll work This role will be based in our San Francisco or New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Define and own Brex’s product marketing strategy and execution, ensuring alignment with company priorities and evolving market opportunities Build and lead a high-performing Product Marketing team and establish scalable processes across portfolio marketing, segmentation, and vertical strategy Partner with Product to define product positioning rooted in a deep understanding of customer needs, the Brex portfolio, and the competitive landscape Craft compelling narratives, value propositions, and messaging frameworks that differentiate Brex’s portfolio and resonate with key customer segments Develop and execute GTM strategies and campaigns for launches, ensuring a unified narrative across the portfolio and collaboration across product, sales, design, and marketing teams Partner with Sales and Customer Success, equipping them with resources to succeed, including pitch decks, competitive insights, customer testimonials, and training materials Position Brex as a thought leader in financial services and software through speaking engagements, analyst relations, content contributions, and industry partnerships Monitor performance and refine strategies to maximize adoption, retention, and ROI Requirements 12 years of experience in product marketing, with at least 3 years in a leadership role, preferably at a high-growth SaaS or fintech company Proven ability to build and scale product marketing teams, including talent development and operational framework creation Exceptional communication and storytelling skills, with a track record of crafting narratives that drive measurable business outcomes Expertise in developing and executing GTM strategies for complex products Strong cross-functional collaboration experience, working closely with product, sales, customer success, design, and marketing teams Data-driven decision-making skills, with the ability to analyze performance metrics and adapt strategies to achieve goals Experience managing marketing budgets and influencing stakeholders Compensation The expected salary range for this role is $248,600 - $310,750. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored. J-18808-Ljbffr

Principal Data Scientist - Gen AI (North Bethesda)

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. About the Role Xometry is seeking an exceptional Principal Data Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This role will also serve as a key technical leader for high-stakes strategic initiatives, including the DFM AI IQE integration with Siemens . In this role, you will serve as a technical leader, owning a 12 month technical roadmap, driving large-scale cross-functional ML and AI initiatives, and setting the long-term scientific direction for AI-driven solutions that enhance Xometry's service offerings. This role requires a hybrid schedule (3 days a week) at our Waltham, MA or North Bethesda, MD office location. How You'll Contribute Technical Vision and Roadmap: Own and drive an 18-24 month technical roadmap that balances innovation with disciplined business value delivery. Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives. Generative AI Development: Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models. Technical Leadership & Standards: Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development. Champion the adoption of better approaches across teams and functions. Cross-Functional Leadership: Influence the roadmaps, priorities, and resourcing of partner engineering, product, and business teams. Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications. Siemens Partnership Integration (DFM/IQE): Serve as the technical architect for the embedded DFM AI IQE track, leading the integration of Xometry's proprietary AI directly into the Siemens ecosystem, including Designcenter and Teamcenter. This work involves operating directly on native 3D geometry to enable real-time manufacturability feedback and pricing, creating a 'science fiction speed' digital thread from ideation to delivery. Data & ML Operations: Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models. Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment. Organizational Development: Serve as a respected subject matter expert and mentor to scientists and engineers across the organization. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing. What You'll Bring to Xometry Experience & Education: Typically 10-plus years of experience with a broad and deep portfolio of applied ML and data science work; or a PhD with 6-plus years of relevant experience. A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred. Technical Mastery: Expert-level proficiency in Python and advanced scientific computing, with a track record of building large-scale, production-grade ML systems. Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy. AI/ML Expertise: Recognized depth in machine learning and statistical methodology. Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs) and experience with multimodal data processing (e.g., combining text, image, and 3D data). Strong background in probability, statistics, and optimization techniques relevant to generative modeling. Strategic & Operational Skills: Demonstrated ability to drive 18-24 month technical initiatives that deliver lasting organizational and business impact. Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker), and familiar with software engineering principles, including version control, reproducibility, and continuous integration. Communication: Exceptional influence and communication skills, with a track record of aligning executives and cross-functional partners around ambitious scientific directions. Domain Expertise (Plus): Experience in the manufacturing, supply chain, or similar industries is a plus. What Xometry Will Bring To You The base pay range for this role is $200,000 - $230,000. The total compensation package includes base, bonus, and equity. Comprehensive benefits package including 401k match, medical, dental, and vision insurance, and generous paid time off. A stipend for catered lunch on Tuesdays and Thursdays. The estimated base salary range for new hires into this role is $200,000- $230,000 annually annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. J-18808-Ljbffr

Senior Director, Product Management (City of White Plains)

Summary The Senior Director, Product Management leads NYPA's Demand Flexibility & Product Development function, with a primary focus on advancing Demand Flexibility and Virtual Power Plant (VPP) solutions. In addition, this role provides oversight and strategic direction for developing a broad range of innovative energy services and opportunities across NYPA's customer solutions portfolio, spanning energy efficiency, electrification, and decarbonization solutions such as solar, storage, electric vehicles, and related offerings. This is an exciting opportunity to join a team of innovators launching new energy solutions and services at scale. The ideal candidate is a strong communicator, brings experience in demand flexibility and VPPs, understands how VPPs interact with other customer energy solutions, and has proven gotomarket experience working directly with customers to address complex market and customer needs. This is a handson, customer and businessoriented role, leading a team that drives NYPA's commercialization and gotomarket processes for new product opportunities-setting product vision and strategy, ensuring solutions are customerfocused, aligned with other inmarket offerings, and positioned for sustained success. The Senior Director oversees and prioritizes products from inception and ideation through design, build, launch, growth, enhancement, and eventual sunset, including ongoing maintenance, evolution, or pivoting as needed. Throughout the product lifecycle, the Senior Director collaborates with subject matter experts and internal and external stakeholders to develop robust justifications, business cases, and implementation plans that guide product decisions and ensure NYPA's portfolio delivers meaningful value to its customers. Responsibilities Provide senior leadership and establish programs and strategies for identification and development of product opportunities for NYPA. Manage stage business process, ensuring that all internal stakeholders are engaged. Facilitate the strategic planning process by identifying high impact opportunities and structuring tradeoff analyses. Oversee the development of competitive intelligence and perform competitive analyses. Lead product teams consisting of technical, environmental, commercial/marketing and financial disciplines in developing products. Provide oversight and coaching for product enhancements. Ensure that product managers are properly documenting product requirements, user stories, and artifacts to support the product development process. Ensure that product managers follow a consistent approach to monitor product adoption and use and collect customer feedback. Oversee and enforce a consistent, objective process to prioritize and select product enhancements. Participate in industry events, trainings, and conferences as needed. Knowledge, Skills and Abilities Successful track record of products developed under candidate's leadership. Exceptional communication skills including strong business writing and verbal presentation abilities. Strong leadership skills with the proven ability to lead and execute strategic business initiatives and provide tactical planning. Comprehensive understanding of NYPA's business model, financial processes and its customers. Strong knowledge of the energy utility customer products. High degree of motivation, flexibility, and reliability. Strong interpersonal skills, with the ability to interact effectively with colleagues and external organizations from various cultural backgrounds. Ability to direct the management of multiple large projects, provide regular updates to senior management and deliver quality work under time constraints. Demonstrated critical thinking and ability to express ideas clearly, concisely and logically, with advanced business savvy. Ability to disseminate information, evaluate facts, determine alternative solutions to problems, and reach sound management and business decisions. Ability to identify and evaluate transformational and/or inorganic growth ideas. Ability to independently build, maintain and evaluate complex financial models. Strong analytical and management skills. Education, Experience and Certifications Bachelor's Degree in Business Management, Economics, Finance, Strategic Planning or the equivalent required. Bachelor's Degree in Engineering or the equivalent, preferred. Advanced degree in Business Administration or related field, preferred. Minimum of 10 years of experience with energy project/business development. Minimum of 3 years of people management/leadership experience. Experience working in or with government agencies, preferred. Physical Requirements Ability and willingness to travel required 15% of the time. Valid NY State driver's license. Ability to visit customer sites. The New York Power Authority is committed to providing fair, competitive, and market-informed compensation. The estimated salary range for this position is: $182,000 - $230,000. The salary offered will be determined based on the successful candidates' relevant experience, knowledge, skills, and abilities. The New York Power Authority and Canal Corporation believes that diversity, equity, and inclusion drive our success, and we encourage women, people of color, LGBTQIA individuals, people with disabilities, members of ethnic minorities, foreign-born residents and veterans to apply. As an equal opportunity employer, NYPA/Canals is committed to building inclusive, innovative work environments with employees who reflect communities across New York and enthusiastically serve them. We proudly celebrate diversity and do not discriminate based on race/color, creed/religion, national origin, citizenship or immigration status, age, disability, military status, gender/sex, sexual orientation, gender identity/expression, pregnancy and related conditions, familial/marital status, domestic violence victim status, predisposing genetic characteristics, arrest/criminal conviction record or any other category protected by law. NYPA/Canals will also provide reasonable accommodations during the hiring process related to candidates' disabilities, pregnancy-related conditions, religious observances/practices and/or domestic violence concerns. To request an accommodation, please email [email protected]. J-18808-Ljbffr