Director of Strategic Analytics and Content Optimization

As the Director of Strategic Analytics and Content Optimization at NBCUniversal, you will play a pivotal role in shaping our content strategy through data-driven insights. You will lead a team of analysts to optimize our content offerings and drive audience engagement across various platforms. This position requires a strategic thinker with a deep understand…

Join qodeworld as a Prompt Engineer, where you will be at the forefront of developing and refining AI-driven solutions. Your expertise will help shape the future of prompt engineering, ensuring that our models deliver optimal performance. This role offers a unique opportunity to collaborate with innovative minds in the tech industry while contributing to groundbreaking projects.

COMPANY OVERVIEWGlobal Atlantic Financial Group, a subsidiary of KKR, is a premier global investment firm specializing in alternative asset management and insurance solutions. We strive to deliver exceptional investment returns through a strategic, disciplined approach and by fostering growth in our portfolio companies and communities. Our extensive portfolio includes investment funds focused on private equity, credit, and real assets, along with a suite of retirement, life, and reinsurance products designed to meet the evolving needs of our clients.POSITION SUMMARYThe Portfolio Optimization & Construction team at Global Atlantic is dedicated to designing and refining asset allocations to fulfill financial and risk management objectives across our expanding insurance portfolio. We are currently in search of a quantitative investment analyst to further develop our asset allocation, pricing, and optimization frameworks with a particular emphasis on insurance asset-liability management (ALM).This role operates at the nexus of quantitative finance and insurance, contributing to portfolio construction for both reinsurance blocks and retail insurance products, while engaging in collaborative efforts with actuarial, risk, and investment teams.RESPONSIBILITIESPortfolio Construction & ALMDevelop and optimize asset portfolios for reinsurance blocks and retail insurance products (including annuities, life insurance, and pension risk transfer).Create asset allocation models that integrate regulatory capital requirements, duration matching, and cash flow analysis.Assist in pricing new business by modeling optimal allocations and projecting expected returns for potential transactions.Enhance the ALM framework to aid in deal assessment and portfolio structuring.Analytics & AttributionEstablish attribution frameworks to clarify portfolio performance across various asset classes, sectors, duration, and credit qualities.Examine market influences such as interest rate fluctuations, credit spreads, and equity volatility.Utilize quantitative methods to monitor portfolios while working in tandem with actuarial, risk, and finance teams.Prepare insightful presentations for senior investment committees and portfolio managers.Platform Development

Hayden AI builds mobile perception systems that help transit agencies and city governments address real-world challenges. The team focuses on computer vision to improve bus lane and bus stop enforcement, modernize transportation technology, and support safer, more sustainable streets. The MLOps Engineer will join the Perception Deep Learning team in San Francisco, working in a hybrid model (at least three days per week in the office). This role centers on building and advancing Hayden AI’s machine learning platform, collaborating with perception, deep learning, and platform engineers to create infrastructure for training and deploying ML models. The position involves shaping the architecture for data ingestion, training pipelines, deployment, monitoring, and governance. What you will do Design, implement, and maintain cloud-based workflows for deploying and managing AI models. Work with cross-functional teams to identify workflow bottlenecks and deliver solutions that improve efficiency. Deploy new features and updates quickly while maintaining quality and reliability, and apply cost-saving strategies to optimize infrastructure spending. Stay up to date with new MLOps tools and technologies, integrating them to improve ML workflows. Participate in the team’s software development process, including design and code reviews, brainstorming, and maintaining accurate documentation. Requirements Bachelor’s degree and 3-4 years of experience in a related field.

About DatologyAIAt DatologyAI, we understand that the quality of training models is heavily dependent on the data they consume. Unfortunately, a significant portion of computational resources is wasted on data that is redundant, irrelevant, or even detrimental to model performance. Our innovative data curation suite automatically optimizes vast amounts of data, ensuring that our clients can train their models more effectively.By leveraging our curated data, users experience training times that are 7-40 times faster, achieve performance levels equivalent to training on over 10 times more raw data, and utilize smaller models with fewer than half the parameters that deliver superior performance while minimizing deployment costs. For insights into our transformative capabilities, check out our recent blog posts on text models and image-text models.Having raised $57.5M from leading investors, including Microsoft and Amazon, our team comprises pioneers in the field of data research and engineering. We are dedicated to simplifying the complex task of data curation for anyone looking to train their models effectively.This position is based in Redwood City, CA, and requires in-office attendance four days a week.About the RoleWe are seeking a skilled and customer-focused Forward Deployed AI Engineer (Post Sales) to assist clients in deploying, managing, and fully embracing DatologyAI’s platform in intricate on-premises or hybrid settings. In this role, you will serve as a trusted technical advisor to our most valuable clients, collaborating closely with Sales, Research, and Engineering teams to ensure successful deployments and long-term value for customers. You will effectively bridge our core platform capabilities with the specific needs of each client’s environment.

Join our dynamic team at Prosidian Consulting as a Senior Training Professional. In this role, you will leverage your expertise to enhance operational efficiency through the development and implementation of training procedures. You will be responsible for conducting comprehensive training sessions, designing instructional materials, and evaluating training effectiveness to ensure our team excels in their roles.

Tiger Analytics is on the lookout for skilled Machine Learning Engineers with expertise in Generative AI to join our rapidly expanding advanced analytics consulting firm. Our team members possess profound knowledge in Machine Learning, Data Science, and Artificial Intelligence, making us the preferred analytics partner for a number of Fortune 500 companies. We empower these organizations to derive significant business value from their data. Our leadership and impact have been acknowledged by prestigious market research firms, including Forrester and Gartner.Join us in our quest to assemble the world's finest analytics consulting team. In this role, your responsibilities will include:

Join Gridmatic, a pioneering startup revolutionizing the energy sector by delivering affordable and clean power through the optimization of renewable energy and grid-scale batteries. Located in the heart of the Bay Area, we fuse Silicon Valley innovation with profound expertise in energy markets and retail.As the demand for solar and wind power surges, we face the challenge of market volatility driven by weather and grid conditions. Gridmatic addresses this with cutting-edge forecasting and optimization solutions, enabling our team to tackle significant issues. Our core activities revolve around energy forecasting and trading, where we analyze extensive data sets—such as weather, pricing, load, and grid conditions—to develop probabilistic machine learning forecasts that inform crucial operational decisions. Our work directly influences the timing of energy purchases, storage, and deployment, transforming uncertainty into value for our customers and the grid.Our measurable impact is evident: Gridmatic stands as the most profitable participant in ERCOT’s wholesale market and manages the leading battery asset in CAISO. Without reliance on venture capital, we foster a collaborative, low-ego environment where rigorous thinking, autonomy, and continuous learning are integral to our culture.The RoleWe are seeking a Senior Software Engineer to become a vital member of our Platform team, responsible for constructing the foundational infrastructure that powers Gridmatic. The challenges within our platform are shaped by the dynamic nature of energy markets: forecasting and trading decisions must be executed on tight schedules, battery dispatch commands require real-time reliability, and machine learning models need to be continuously trained and deployed as new data is available.

About Us: Bandwidth is a distinguished global software provider, recognized as a prior “Best of EC” award winner. We empower enterprises to create remarkable experiences through voice, messaging, and emergency services. Our reach extends to over 65 countries, encompassing more than 90 percent of the global economy. As the only provider of an owned communications cloud, we deliver advanced automation, AI integrations, global connectivity, and premium human support. Bandwidth is a trusted partner for mission-critical communications, serving the Global 2000, hyperscalers, and SaaS innovators! At Bandwidth, we value individuality and encourage our team members to be their authentic selves. Join us and #jointheband! What We're Seeking: The Research & Development (R&D) team at Bandwidth is pioneering the exploration and application of transformative technologies to shape the future of communication experiences. Our dynamic, agile, and T-shaped group delves into cutting-edge fields such as Artificial Intelligence and Machine Learning. We are on the lookout for a passionate AI/ML Engineer to join our vibrant team based in Raleigh, NC. If you thrive in a fast-paced, collaborative environment and enjoy rapidly iterating on ideas and prototypes, you will fit right in. You possess a startup mentality, are comfortable with ambiguity, and are driven by an insatiable curiosity to explore, innovate, and learn. If you are enthusiastic about leveraging advanced AI/ML techniques, particularly Large Language Models (LLMs), to address real-world challenges and influence future products, this is the perfect opportunity for you. This role requires full-time presence at our Raleigh office.

Join our innovative Enterprise Data & Machine Learning team at Capital One, where you will play a pivotal role in constructing a robust, highly scalable data ecosystem. This ecosystem spans thousands of AWS accounts, numerous database instances, and millions of files across the enterprise. You will have the unique opportunity to influence the future of our platform, facilitating the exchange of terabytes of data daily between Capital One and its partners.As a Distinguished Engineer, you will be a key individual contributor, bringing diverse perspectives that enhance our problem-solving capabilities. We value diversity of thought, as it strengthens our ability to collaborate effectively and deliver innovative solutions across our organization. Your contributions will significantly shape our technological trajectory, creating clear roadmaps for next-generation solutions.

Join Perplexity in our mission to redefine the future of AI-powered search and agent experiences! We are on the lookout for exceptional AI Research Scientists and Engineers who are eager to push the boundaries of technology. Our innovative products, including Sonar models, Deep Research Agent, Comet Agent, and advanced search tools, are designed to handle hundreds of millions of queries and are scaling rapidly. If you have a passion for cutting-edge AI and want to contribute to state-of-the-art experiences, we would love to hear from you!Team StructureDepending on your interests and expertise, you will have the opportunity to collaborate within one of three specialized teams:1. Core Research TeamThis team focuses on the generation and enhancement of foundational models that underpin all our products, emphasizing core model capabilities and the development of infrastructure that serves the entire organization.2. Agent Products TeamThis team specializes in fine-tuning and optimizing models specifically for our Deep Research Agent and Labs/Canvas products, ensuring that our agent functionalities provide exceptional user experiences.3. Comet Agent TeamDedicated to the development and refinement of the Comet Agent product, this team addresses the unique requirements and optimizations necessary for Comet's specific use cases.ResponsibilitiesResearch & DevelopmentPost-train state-of-the-art large language models (LLMs) using cutting-edge supervised and reinforcement learning methodologies (SFT/DPO/GRPO).Utilize our comprehensive query-answer dataset to scale model performance across our Sonar, Deep Research, Comet, and Search products.Remain abreast of the latest advancements in LLM research, focusing on model training, optimization, and personalization techniques.Implement preference optimization and personalization features to elevate user experience.Innovate and develop in-house enhancements and optimizations for state-of-the-art models.Translate research ideas into algorithms and conduct experiments to deploy new models.Infrastructure & ImplementationOversee the full-stack data, training, and evaluation pipelines that are essential for model development.Create robust and efficient training frameworks (based on Megatron/PyTorch) for post-training LLMs.Establish necessary infrastructure components to support cutting-edge model development.

Join Dexterity as a Senior Computer Vision Engineer where you will be pivotal in developing advanced Computer Vision code and Machine Learning models tailored for innovative applications. In this position, you will assess our existing systems, identify their limitations, and apply your expertise in Computer Vision to create cutting-edge ML models. Your role will also include enhancing and scaling our existing ML pipelines to accommodate diverse scenarios and elevate accuracy.You will utilize your knowledge in semantic segmentation and instance segmentation, staying abreast of the latest advancements in these domains and implementing them using frameworks such as PyTorch and TensorFlow. Proficiency with RGBD datasets and point clouds is crucial, as is experience in ML and CV related to autonomous vehicles or robotics. A strong foundation in writing optimized code in C++ and Python is essential. Additionally, familiarity with cloud infrastructure to create robust training and serving pipelines is a significant aspect of this role.At Dexterity, our applications demand low-latency inference that approaches real-time performance, and you will be tasked with constructing high-performance models and serving architectures. While knowledge of open-source solutions is advantageous, we require candidates to have experience developing their own models and establishing training pipelines. You will oversee the complete process of data gathering, augmentation, labeling, and curation, as well as evaluating performance, optimizing model quality, training, deploying, and troubleshooting models in real-world scenarios.About DexterityAt Dexterity, we are passionate about the transformative potential of robotics. Our groundbreaking technology empowers people to engage in creative, inspiring, and problem-solving roles by allowing robots to take on repetitive and physically demanding tasks. We are focusing on warehouse automation, where the demand for smarter, more resilient supply chains influences millions of lives and businesses worldwide. Dexterity's comprehensive robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have successfully managed the picking of over 15 million goods in production. Our customer-centric approach drives every decision we make, always asking how we can enable our customers to achieve more with our robotic solutions.

About the RoleAs a Software Engineer specializing in Machine Learning, you will collaborate closely with product teams, data scientists, and data platform engineers to identify, design, and execute applied ML models and infrastructure. Your responsibilities will encompass model optimization, data pipeline development, model training, and serving infrastructure for one of the fastest-growing native AI consumer applications available today. You will focus on the implementation of our ML backend systems that enhance discovery features, including recommendations, ranking, and search functionalities, while also supporting new AI-generated content formats in our product and optimizing existing systems.

About DatologyAIAt DatologyAI, we believe that the quality of training data is vital for the performance of AI models. Our innovative data curation suite is designed to automatically optimize petabytes of data, ensuring that your models are trained on the most relevant and effective datasets. By utilizing our curated data, users can experience training times that are 7-40 times faster and enhance model performance as if they had trained on more than 10 times the amount of raw data, all while reducing deployment costs significantly.With $57.5 million raised across two funding rounds, our esteemed investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and AI pioneers such as Geoff Hinton, Yann LeCun, and Jeff Dean. Our expert team is dedicated to simplifying the complex task of data curation, empowering anyone to train their models effectively on their own data.This position is located in Redwood City, CA, and we work in-office four days a week.

Join Articul8 AI, where we develop cutting-edge Generative AI solutions designed for enterprises, empowering global organizations to extract unprecedented value from their data. Our innovative platform is trusted by leading companies worldwide, and we closely collaborate with clients to design, deploy, and scale AI solutions that create significant impact.Embrace the dynamic environment of a fast-paced startup where urgency and focus drive our mission. Each team member enjoys substantial ownership, and your contributions will directly influence our platform and the success of our clients. If you excel in a setting where innovation is a daily occurrence and the results of your work are clear, then Articul8 is your destination to achieve the pinnacle of your career.Role OverviewAs the AI/ML Engineering Manager, you will utilize your extensive technical expertise in machine learning and your leadership abilities to steer a high-performing team, define the technical roadmap, and deliver impactful solutions across our product suite. This role seamlessly integrates technical leadership, applied research translation, and cross-functional collaboration to provide scalable solutions for our customers. You will be responsible for shaping the AI strategy, promoting a culture of excellence, and ensuring data-driven execution in a fast-paced setting.Your role involves direct engagement with customers to comprehend their requirements and working closely with various teams at Articul8 to translate these needs into actionable tasks for your team. You will manage the lifecycle of features from ideation to deployment in production-grade code.Ideal candidates will have proven experience leading teams of both junior and senior engineers on multiple concurrent projects in a high-velocity environment. Proficiency in AI/ML, MLOps, cloud platforms, and coding best practices is essential.

ABOUT BASETENAt Baseten, we empower innovative AI companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer to execute mission-critical inference with ease. By merging advanced AI research with flexible infrastructure and robust developer tools, we enable organizations at the forefront of AI to seamlessly deploy cutting-edge models into production. Fueled by rapid growth and a recent $300M Series E investment from industry leaders such as BOND, IVP, Spark Capital, Greylock, and Conviction, we're building the essential platform that engineers trust to launch AI products.THE ROLEAs a Software Engineer on our Core Product team, you will play a pivotal role in developing and enhancing the core Baseten platform, empowering users to effortlessly deploy and derive value from machine learning models. Given our developer-centric approach, you will engage with a vast array of components, including CLI tools, REST APIs, and the web application. The Core Product team leads all new product innovations within Baseten.EXAMPLE INITIATIVESAs part of our Core Product team, you will tackle exciting projects such as:Chains for multi-component workflowsAsynchronous inferenceModel APIs for cutting-edge modelsModel training optimized for production inferenceRESPONSIBILITIESDevelop and implement new features and products for the teamDesign intuitive APIs and abstractions to effectively address customer needsQuickly resolve bugs and customer issues with a proactive approachWork across the technology stack; you'll engage with both React Components and Kubernetes PodsCollaborate closely with product managers and cross-functional teams to drive product success

ABOUT BASETENAt Baseten, we empower the most innovative AI companies—such as Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer—by providing a robust platform for mission-critical inference. Our unique combination of applied AI research, adaptable infrastructure, and cutting-edge developer tools allows companies at the forefront of AI to deploy state-of-the-art models seamlessly. Having recently secured a $300M Series E funding round from notable investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we are poised for rapid growth. Join us in creating the essential platform for engineers to launch AI products.THE ROLEAre you driven to push the boundaries of artificial intelligence while leading a team of talented engineers? We are seeking a Technical Lead Manager with a focus on machine learning performance and inference. This position is perfect for an individual with a strong engineering foundation who is eager to guide and mentor a team while remaining actively engaged in hands-on technology work. If you excel in a dynamic startup atmosphere and are excited to tackle both leadership and technical challenges, we invite you to apply.EXAMPLE INITIATIVESAs a member of our Model Performance team, you will work on projects such as:Baseten Embeddings Inference: The fastest embeddings solution availableThe Baseten Inference StackDriving model performance optimizationRESPONSIBILITIESLead, mentor, and manage a team of engineers dedicated to developing and optimizing ML model inference and performance.Oversee technical strategy and architectural decisions, fostering improvements across our engineering organization.Collaborate with cross-functional teams to ensure the seamless integration and scalability of ML models in production settings.Drive innovation in model performance and advocate for best practices within the team.

At Extend, we are revolutionizing document processing with cutting-edge Large Language Models (LLMs). Our mission is to reshape how organizations interact with unstructured data, making it more efficient and effective.As an Applied AI/ML Engineer, you will play a pivotal role in developing advanced document processing infrastructure and innovative AI-driven product features. Your contributions will directly influence the experience of our customer base as we process millions of documents each month.We seek engineers who are not only innovative problem solvers but also stay current with the latest AI advancements. If you are passionate about making tangible impacts in the real world and eager to assist businesses in overcoming significant challenges through AI, we want to hear from you!

Join Zoox's innovative Perception Object Detection and Tracking team, where we focus on the sophisticated perception of dynamic objects and individuals. In this pivotal role, you will collaborate directly with machine learning model teams to integrate state-of-the-art models into our vehicle technology stack.You will have unparalleled access to premier sensor data and a robust infrastructure designed for rigorous testing and validation of your algorithms. We are pioneering new algorithms for segmentation, tracking, classification, and high-level scene comprehension, and you will have the opportunity to contribute to any (or all!) of these critical components.

Join BillionToOne as a Senior AI Engineer I, where you will leverage your expertise in artificial intelligence and machine learning to drive innovation. In this role, you will be instrumental in developing cutting-edge AI solutions that empower our mission of advancing health technology. Collaborate with a dynamic team of engineers and researchers to create impactful applications that make a difference.