About UsAt MAI (pronounced “my”), we are committed to revolutionizing advanced advertising technology. Our goal is to make state-of-the-art marketing tools, which were previously the domain of large corporations with extensive budgets, available to all businesses. Our innovative platform employs AI agents to streamline and enhance performance marketing, enabling small to medium-sized enterprises to grow their advertising budgets sustainably without the need for agencies or cumbersome manual campaign management.Founded by experienced professionals from leading ad platforms like Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to accelerate our growth trajectory. This funding will be directed towards expanding our product and engineering teams, fulfilling our vision of intelligent and autonomous marketing. Our AI agents have already demonstrated their effectiveness, assisting clients in achieving 40% more sales while managing millions in monthly Google Ads expenditures. The demand for our services is growing, as evidenced by our rapidly expanding client waitlist.Why Join Us NowAs pioneers in this new frontier of autonomous, intelligent agents, we are charting our own course, and we invite you to be a part of it.As a Machine Learning Engineer at MAI, you will not merely be writing code; you will be a key architect in creating the ecosystem where our AI agents thrive, learn, and perform. Your contributions will significantly impact our entire technology stack—from the foundational data platforms that supply our agents to the core frameworks that enable intelligent reasoning, to the scalable systems that deliver their insights to our clients. This role presents an exceptional opportunity to develop a truly AI-driven product from the ground up and tackle challenges at the forefront of the industry.You will be part of a small, agile team of fewer than ten engineers, allowing you to make a substantial impact and influence the future direction of our company. We are in the early stages of establishing three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityYou will have the unique opportunity to develop your skills as these teams grow, leveraging your expertise while also embracing new challenges and learning from your peers to become a more well-rounded engineer.

About UsAt MAI, pronounced “my,” we are dedicated to revolutionizing advanced advertising technology. Our mission is to make cutting-edge marketing tools, once reserved for large corporations, accessible to businesses of all sizes. Through our innovative platform leveraging AI agents, we automate and enhance performance marketing, enabling small and mid-sized businesses to profitably scale their ad spend without relying on agencies or spending countless hours on manual campaign management.Founded by seasoned professionals from Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to accelerate our growth. This investment will help us expand our product and engineering teams to realize our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness, assisting clients in achieving 40% more sales and managing millions in monthly Google Ads expenditures. We are experiencing a rapidly growing client waitlist.Why Join Us Now?As we venture into the uncharted territory of building infrastructure for autonomous, intelligent agents, you will not merely be writing code; you will be the architect of the environment where our AI agents thrive. You will have a significant impact across our entire stack—from the foundational data platforms that support our agents to the core frameworks that empower them to reason, and the scalable systems that deliver their intelligence to our customers. This is a unique opportunity to create a truly AI-native product and tackle challenges at the forefront of the industry.You will be a vital member of a small, focused team of fewer than ten engineers, with the opportunity to shape the future of our organization. We are in the early stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis role offers you the chance to grow your skills as these teams develop, encouraging you to leverage your specializations while exploring new projects and learning from your peers.

About UsAt MAI, we are driven by a vision to make advanced advertising technology accessible to all. Our innovative platform harnesses the power of AI to automate and enhance performance marketing, enabling small and medium-sized businesses to increase their advertising effectiveness without the need for costly agencies or extensive manual management.Founded by industry experts from Google and Instacart, we are proud to have secured $25 million in Seed funding led by Kleiner Perkins to fuel our growth. This investment will allow us to expand our product and engineering teams as we bring our vision of intelligent marketing to reality. Our AI agents have already demonstrated their capabilities, driving 40% more sales and managing millions in monthly ad spend. With a rapidly growing client waitlist, we are excited to shape the future of growth marketing.Why Join Us Now?As we venture into the uncharted territory of building infrastructure for intelligent agents, your role as a Software Engineer Intern at MAI will be pivotal. You will not only write code; you will help design the ecosystem for our AI agents to thrive and evolve. This is a unique opportunity to apply your research expertise to real-world challenges that have a significant impact.This internship offers the chance to contribute to the development of a truly AI-first product while solving industry-leading problems. You will be part of a small, agile team of fewer than ten engineers, where your contributions will be significant and influential in shaping the future of our company. We are in the early stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityTake advantage of this opportunity to enhance your skills and grow as an engineer. We encourage you to leverage your strengths while exploring new projects, learning from your peers, and becoming a more versatile engineer.

About UsAt MAI (pronounced “my”), we are dedicated to revolutionizing the advertising technology landscape. Our mission is to make sophisticated marketing tools accessible to businesses of all sizes, not just those with extensive budgets. Our innovative platform leverages AI to automate and enhance performance marketing, allowing small and medium-sized enterprises to increase their advertising investments profitably without the dependency on agencies or time-consuming manual management.Founded by experienced professionals from Google and Instacart, we successfully secured $25 million in Seed funding led by Kleiner Perkins. This investment is fueling our growth and enabling us to expand our talented teams, bringing our vision of intelligent, autonomous marketing to fruition. Our AI agents have already demonstrated significant impact, driving 40% more sales for clients and managing millions in monthly Google Ads expenditures. Our client waitlist is expanding rapidly.Why Join Us NowJoining MAI means stepping into an exciting phase of growth and innovation. As a Client Partner, you will play a pivotal role in our go-to-market strategy, shaping how we connect with and grow eCommerce brands. You will be responsible for prospecting, pitching, and closing deals, influencing our go-to-market strategies, tools, and product development with invaluable customer insights. This is a unique opportunity to be part of an AI-driven company at a transformative moment—where your contributions directly influence our trajectory.Your ResponsibilitiesManage the complete sales cycle—from prospecting to closing and expansion. You will generate over 90% of your pipeline through strategic outreach and identifying intent signals, positioning MAI as the growth catalyst for eCommerce brands.Become a subject matter expert in performance marketing and AI solutions. Through MAI’s product training and Google Ads certifications, you will gain a deep understanding of how AI enhances campaign performance, budget management, and return on ad spend (ROAS) for our clients.Serve as a trusted advisor to clients, comprehending their growth and profitability perspectives and guiding them in their transition from agency reliance to AI-powered marketing.Collaborate across various teams, including product, operations, and marketing, to relay client feedback, influence roadmap priorities, and co-develop scalable go-to-market processes.Maintain high standards in CRM practices, documenting insights, activities, and performance metrics to continually refine targeting and efficiency.

About MAIAt MAI (pronounced “my”), we are dedicated to making advanced advertising technology accessible for all. Our mission is to provide small and mid-sized businesses with cutting-edge marketing tools that were once only available to large corporations. By utilizing AI agents, our platform automates and optimizes performance marketing, allowing businesses to increase their ad spend profitability without the need for agencies or extensive manual campaign management.Founded by industry veterans from Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to propel our growth. This investment will help us expand our product and engineering teams as we work towards realizing our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness, helping clients achieve 40% more sales while managing millions in monthly Google Ads spend. The demand for our services is rapidly growing, and we are excited to shape the future of growth marketing.Why Join Us?As part of our team, you won’t just be another employee; you’ll be a crucial player on a focused team with significant impact, helping to shape the future of our company. This is a unique opportunity for personal and professional growth, where you can leverage your expertise while embracing new challenges and learning from your colleagues.Your RoleTransform Data into Marketing Strategies: You will analyze extensive marketing datasets to understand the underlying reasons for performance metrics. Collaboration with our Machine Learning and Operations teams will be essential as you translate your analytical findings into innovative strategies for our AI agents to implement autonomously.Develop Our AI's Analytical Capabilities: You will play a vital role in shaping the intelligence of our analytics agent. This will involve context engineering—creating prompts, designing semantic data layers, building robust data pipelines, and establishing evaluation frameworks to ensure our agents deliver accurate and valuable insights to our clients.Establish a Data Foundation for AI Intelligence: You will manage the data that powers our agents, transforming complex, multi-platform data into a valuable resource. Your contributions will enhance our agents' capabilities by developing essential tools and signals such as user funnel models and lifetime value predictions.

About UsAt MAI (pronounced “my”), we are dedicated to transforming the landscape of advanced advertising technology. Our vision is to make innovative marketing tools, previously reserved for large corporations with extensive budgets, available to all. Utilizing AI agents, our platform automates and optimizes performance marketing, enabling small and mid-sized businesses to effectively scale their advertising efforts without the need for costly agencies or excessive manual campaign management.Founded by industry experts from Google and Instacart, we are proud to have secured a $25 million Seed funding round led by Kleiner Perkins to propel our growth. This investment will allow us to enhance our product and engineering teams, bringing our vision of intelligent and autonomous marketing solutions to fruition. Our AI agents have already demonstrated their effectiveness, driving 40% more sales for clients and managing millions in monthly Google Ads expenditures. Our client waitlist is expanding rapidly.Why Join Us NowIn contrast to traditional software development, which follows established guidelines, we are pioneering the infrastructure for autonomous, intelligent agents—and we are charting the course ourselves.As a Software Engineer at MAI, you will not only write code; you will be instrumental in architecting the ecosystem where our AI agents learn and operate. Your contributions will have a significant impact across our entire technology stack, from the foundational data platforms that support our agents, to the core frameworks that empower their reasoning capabilities, all the way to the scalable systems that deliver their intelligence to our users. This is a unique opportunity to build a truly AI-native product from the ground up and tackle challenges at the cutting edge of the industry.You will be more than just a contributor on a large team; you will be a key player in a close-knit group of fewer than ten engineers, making a substantial impact and influencing the future trajectory of our company. We are in the formative stages of establishing three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis is a rare opportunity for personal and professional growth as these teams develop. We encourage you to utilize your expertise while exploring new projects outside your comfort zone, learning from colleagues and evolving into a more versatile engineer.

About CreatifyCreatify is revolutionizing digital advertising by developing the world's first comprehensive AI-driven advertising platform. Our innovative technology automates the entire lifecycle of video ads, from scripting and avatar generation to rigorous testing, optimization, and seamless publishing across platforms like Meta, TikTok, YouTube, and more.In just 18 months, we've achieved over $10 million in Annual Recurring Revenue (ARR) and are proud to serve more than 1.5 million users from over 10,000 teams. Prestigious brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for creating personalized, high-performing video ads in just minutes.With $24 million raised from prominent Silicon Valley investors including WndrCo, Kindred Ventures, and Comcast Ventures, we are positioned for rapid growth. Explore our recent features in Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.Join our passionate team of AI researchers, engineers, and advertising experts in Mountain View, and help us reshape the future of advertising through AI.

Join the AI Revolution at Creatify!At Creatify, we are pioneering the world’s first comprehensive AI advertising platform, automating every aspect of the video ad lifecycle—from creative scripting and avatar-driven production to testing, optimization, and seamless publishing across major platforms like Meta, TikTok, and YouTube.In only 18 months, we’ve achieved over $10 million in annual recurring revenue (ARR) and have empowered more than 1.5 million users across 10,000+ teams. Our innovative platform is trusted by leading brands including Alibaba, HubSpot, and Binance to create personalized, high-impact video advertisements in mere minutes.With $24 million raised from prominent Silicon Valley investors such as WndrCo and Kindred Ventures, we are on a rapid growth trajectory. For insights on our recent achievements, check out our features in Fast Company, TechCrunch, and Bloomberg TV.Based in Mountain View, we are a passionate team of AI researchers, engineers, and advertising experts. Join us as we transform the advertising landscape with AI technologies.

The OpportunityJoin our innovative AI team at Otter.ai, driving the future of AI technology to enhance the value derived from meetings and conversations. As a Machine Learning Engineer, you will collaborate with seasoned scientists and engineers to develop and deploy machine learning systems that transform groundbreaking research into production-ready features for our summarization and conversational intelligence offerings.Your ImpactArchitect, build, and evolve large-scale SID / ASR / NLP / LLM systems that are central to our mission-critical product experiences, impacting millions of conversations.Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, balancing quality, latency, cost, and reliability.Design and improve model architectures, loss functions, decoding strategies, and training techniques for speech and language models, guided by both research and production constraints.Own end-to-end ML system lifecycles from research prototyping through to production deployment, monitoring, iteration, and long-term maintenance.Collaborate closely with product and infrastructure teams to convert cutting-edge research into scalable, production-grade systems that yield measurable user and business impacts.Drive system-level enhancements in model performance, robustness, observability, and operational excellence using real-world conversational data at scale.Establish technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows in a cloud environment.Tackle complex, ambiguous challenges in model behavior, data quality, scaling, and system interactions, often preemptively addressing issues before they impact users.Mentor and elevate fellow engineers, shaping team standards, reviewing designs, and fostering a culture of sound technical decision-making and execution.

About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to empowering individuals with financial flexibility tailored for those living paycheck to paycheck. Our community members can access their earnings in real time, enabling them to spend, save, and enhance their financial well-being without burdensome fees, interest rates, or credit checks.With a robust leadership team and esteemed funding partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, we are positioned for rapid growth and are eager to attract top-notch talent to shape our future.Position SummaryAt EarnIn, machine learning (ML) is pivotal to our growth strategy. We harness advanced ML models to inform business decisions and enhance customer experiences. Your role will involve developing and implementing cutting-edge ML systems that leverage our data capabilities. You'll be tasked with thorough formulations, rigorous experimentation, and transforming ML models into efficient production-ready code, while also focusing on robustness monitoring and system logging/alarming.We are inviting enthusiastic students and recent graduates with a solid foundation in machine learning, deep learning, language models, generative AI, programming, and data analysis to join our 12-week Machine Learning Internship Program. You will engage in real-world projects, collaborate with industry experts, gain invaluable insights into the fintech sector, and contribute to meaningful business and social outcomes. This position requires hybrid work from our Mountain View office, with 2 days per week on-site. Compensation for this internship is set at $40 per hour, with a commitment of 40 hours per week for the duration of the program.What You'll DoTrain and optimize large-scale Foundation Models for diverse fintech applications.Work with extensive datasets, encompassing both structured and unstructured data.Contribute to enhancements of our existing ML systems through model, data, or experimental upgrades.Acquire hands-on experience with a variety of technologies, including PyTorch, AWS, Kafka, Databricks, and more.

Join Coupang as a Senior Staff Machine Learning Engineer in our AI Foundations team, where you will be at the forefront of developing innovative machine learning solutions that enhance customer experiences. This role involves designing, implementing, and optimizing algorithms and models that drive intelligent decision-making and automation within our platforms.

About UsAt MAI (pronounced “my”), we are dedicated to democratizing advanced advertising technologies. Our belief is that state-of-the-art marketing tools, previously reserved for large corporations with substantial budgets, should be available to all businesses. Our innovative platform harnesses AI agents to automate and optimize performance marketing, enabling small to mid-sized enterprises to effectively scale their advertising expenditures without relying on agencies or dedicating countless hours to manual campaign management.Founded by industry veterans from Google and Instacart, we have successfully secured a $25 million Seed funding round led by Kleiner Perkins to propel our growth forward. This investment will be pivotal as we expand our product and engineering teams, realizing our vision of intelligent, autonomous marketing. Our AI agents have already showcased their effectiveness, helping clients achieve 40% more sales while managing millions in monthly Google Ads spend. We are witnessing a rapid increase in our client waitlist.Why Join Us NowIn a landscape where traditional software follows a conventional playbook, the development of infrastructure for autonomous, intelligent agents represents an uncharted territory—and we are pioneering this field.As a foundational Software Engineer at MAI, you will do more than just write code; you will design the entire ecosystem in which our AI agents operate, learn, and evolve. Your work will have a substantial impact across our entire technology stack, from the underlying data platforms that inform our agents, to the core frameworks that empower their reasoning abilities, to the scalable systems that deliver their insights to our clients. This is a unique opportunity to construct a genuinely AI-native product from scratch and tackle challenges at the forefront of the industry.You will be part of a focused team of fewer than ten engineers, allowing you to make a significant impact and help shape the future direction of our company. We are in the initial stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis position offers a distinctive opportunity to broaden your skill set as these teams develop. We encourage you to leverage your areas of expertise while also exploring new projects, learning from your colleagues to become a more versatile engineer.

About UsAt MAI (pronounced 'my'), we are dedicated to making advanced advertising technology accessible to all. Our mission is to provide cutting-edge marketing tools that were once only available to large companies with significant budgets. Our innovative platform utilizes AI agents to automate and enhance performance marketing, enabling small and mid-sized businesses to efficiently scale their advertising spend without the need for external agencies or extensive manual campaign management.Founded by seasoned veterans from Google and Instacart, we have successfully secured a $25 million Seed funding round led by Kleiner Perkins to propel our growth. This funding will allow us to expand our teams and realize our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness by driving 40% more sales for our clients and managing millions in monthly Google Ads expenditures. Our client waitlist is expanding rapidly.Your RoleDefine Positioning & Messaging: Shape MAI's market presence. Transform complex AI functionalities into clear and compelling narratives that resonate with brands and performance marketers.Lead Product Launches: Oversee the complete go-to-market strategy for new features and agent capabilities—from internal alignment to external launch.Gather Customer & Market Insights: Act as the customer's voice. Conduct research, analyze market competitors, and pinpoint critical opportunities for differentiation.Sales Enablement: Create impactful collateral (presentations, one-pagers, case studies) to support sales in converting prospects and illustrating a clear ROI narrative.Content & Demand Generation: Collaborate with the growth team to develop content that educates and converts—such as landing pages, lifecycle messaging, product narratives, and thought leadership pieces.Category Definition: Help shape and advocate for a new category: AI-native marketing platforms. You will not only market a product but also contribute to defining an industry movement.Cross-Functional Leadership: Collaborate closely with Product, Growth, and Founders to synchronize the roadmap, messaging, and go-to-market execution.

About NewsBreakEstablished in 2015, NewsBreak is a pioneering Content Intelligence platform redefining the content economy. With a robust user base of over 40 million monthly active users, our flagship platform delivers tailored local news and information, powered by cutting-edge AI, recommendation systems, and advanced adtech.Acknowledged by Fast Company as #32 among the Top Workplaces for Innovators, we proudly hold Great Place to Work® certification and foster a vibrant team of technologists, product innovators, and business leaders dedicated to addressing significant challenges at scale.Achieving unicorn status in 2021, we remain steadfast in our commitment to high growth, seeking the ideal team to realize our mission: to establish the foundational infrastructure for content intelligence.If you’re driven to dream big, innovate rapidly, and make a meaningful impact, we want to hear from you! For more details, visit www.newsbreak.com/aboutAbout the Role:We are seeking a Machine Learning Infrastructure Engineer to join us in building the pivotal infrastructure that trains, serves, and monitors the models behind our Ads and Recommendations products. You will be part of a small, high-responsibility team that implements platform enhancements end-to-end—collaborating with product and data teams to minimize latency and costs while expediting the transition from concept to safely launched model.Your role will encompass the entire ML lifecycle: enhancing training efficiency and reliability, optimizing model serving performance, and fortifying our feature/embedding platform to ensure models remain current and consistent across offline and online applications. We are looking for someone who takes genuine ownership, completes tasks, and elevates the standards for stability and developer experience.Why This Role:Scope & Impact: Join a small team with a significant influence—your contributions will directly impact production.Ownership: Manage everything from design to rollout and post-launch insights; enjoy real autonomy with support.Growth: Gain visibility across the stack and a clear pathway to lead projects and mentor others.Pragmatic Culture: We prioritize outcomes over jargon, valuing clear thinking and follow-through.

Aeva, Inc. is seeking a Machine Learning Engineer with a focus on Perception to join the team in Mountain View, CA. This role centers on developing algorithms that help autonomous systems interpret and respond to their environment. The work draws on both machine learning and computer vision to improve how autonomous vehicles perceive the world around them. Key responsibilities Design and build perception algorithms for autonomous platforms Use machine learning and computer vision on real-world datasets Support progress in autonomous vehicle technology through technical contributions Work closely with engineers and researchers to expand product capabilities Location This position is based in Mountain View, CA.

DataVisor stands at the forefront of AI-driven fraud and risk management solutions, providing unparalleled detection capabilities within the industry. Our innovative SaaS platform allows for seamless integration and enhancement of diverse data sources, enabling organizations to respond to rapidly changing fraud and money laundering scenarios in real-time. With our proprietary unsupervised machine learning technology, robust device intelligence, and a powerful decision engine, we ensure substantial performance improvements from day one. Our platform is designed to accommodate a variety of applications across multiple business units, significantly reducing the total cost of ownership when compared to traditional point solutions. Recognized as a leader in our field, DataVisor is trusted by numerous Fortune 500 companies globally.Our acclaimed software platform is driven by a team of top-tier professionals specializing in big data, machine learning, security, and scalable infrastructure. We foster a culture of openness, positivity, collaboration, and results-oriented work. Join us in transforming the future of fraud detection!Position Overview:As part of our platform engineering team, you will contribute to the development of a next-generation machine learning platform, integrating our unique unsupervised machine learning (UML) techniques with supervised machine learning (SML) algorithms. Your role will involve enhancing our core detection algorithms and automating the comprehensive training process.With the rise of sophisticated fraud attacks, real-time detection is more crucial than ever. The platform team is tasked with constructing the architecture that supports real-time UML capabilities. We are seeking inventive and enthusiastic engineers to aid in the expansion of our novel streaming and database systems, which are essential for our detection functionalities.Join us in pushing the limits of what is achievable in fraud detection and large-scale data processing, and help us introduce innovative solutions to this critical domain.

About NewsBreakFounded in 2015, NewsBreak is a pioneering Content Intelligence platform that is redefining the content economy. With a vibrant community of over 40 million monthly active users, our flagship platform offers deeply personalized local news and information, driven by cutting-edge AI technologies, sophisticated recommendation systems, and innovative adtech solutions.Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we take pride in being Great Place to Work® certified. Our dynamic team of technologists, product innovators, and business leaders is dedicated to tackling significant challenges at scale.Having reached unicorn status in 2021, we are steadfast in our commitment to maintaining a high-growth trajectory through the right talent to help us realize our mission: building the infrastructure layer for content intelligence.If you’re motivated to think big, innovate rapidly, and make a meaningful impact, we’d love to connect with you! For more information, visit www.newsbreak.com/aboutAbout the RoleWe are on the lookout for a Staff Machine Learning Engineer to spearhead technical leadership for our recommendation systems and AI initiatives.In this pivotal position, you will set the technical direction for large-scale personalization systems, lead intricate projects across various teams, and champion the integration of AI / LLM technologies in our product capabilities and engineering workflows.This opportunity is perfect for engineers who relish system-level thinking, enjoy mentoring others, and excel at transforming complex, ambiguous challenges into scalable solutions.What You’ll Work OnTechnical Leadership & ArchitectureLead the design of next-generation recommendation system architectures at scale.Drive best practices for model lifecycle management, experimentation, and system reliability.Collaborate with product, infrastructure, and data teams to ensure alignment of technical strategy with business objectives.Advanced Recommendation & AI SystemsOversee complex initiatives encompassing retrieval, ranking, re-ranking, and multi-objective optimization.

Coupang is looking for a Staff Machine Learning Engineer in Mountain View to help strengthen its e-commerce platform. This position centers on applying advanced machine learning methods to improve both user experience and internal operations. Role overview The Staff Machine Learning Engineer will work closely with teams across the company to design, build, and launch machine learning models. These efforts aim to solve complex business challenges and support Coupang’s growth. Key responsibilities Develop and implement machine learning models that enhance system performance Collaborate with cross-functional groups to identify and address business needs Contribute to the deployment and ongoing improvement of machine learning solutions Location This role is based in Mountain View, USA.

Are you driven by a passion for solving complex AI challenges and eager to play a pivotal role in revolutionizing enterprise automation? Join Kognitos as we shape the future of software development!Your Contributions Will Include:Optimizing Resource Utilization: Create cutting-edge strategies to enhance resource efficiency in training and fine-tuning machine learning models, ensuring optimal performance without compromising on resource usage.Developing Intelligent Workflows: Innovate workflows that empower AI to reason, plan, and execute tasks consistently, reducing errors and unexpected outcomes.Integrating Multimodal Language Models: Engage in multimodal projects that blend text, images, and various data formats to develop robust, enterprise-ready automation solutions.Enterprise-Scale AI Solutions: Deliver AI systems that address enterprise needs, targeting a reduction of operational costs by 30% through widespread adoption.Key Responsibilities:Design and implement machine learning models with a focus on intelligent workflows and reliable task execution.Refine AI systems for multimodal applications, effectively tackling real-world challenges faced by enterprises.Pioneer new fine-tuning methodologies to enhance resource utilization and model efficacy.Ensure alignment of AI systems with regulatory standards while delivering consistent business outcomes.Collaborate with diverse teams, including product management, engineering, and business stakeholders, to drive impactful solutions.Stay abreast of the latest advancements in AI research, integrating cutting-edge developments into Kognitos’ platform.Qualifications:A Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or a related discipline.Demonstrated experience in developing and deploying machine learning models in production settings.Expertise in fine-tuning techniques for large-scale models and resource optimization.Strong intuition and experience with Large Language Models (LLMs).Familiarity with multimodal language models and their applications in enterprise environments.