Engineering Manager - Machine Learning Products

Join our dynamic team at Code and Theory as a Lead Machine Learning Engineer, where your expertise in large language models (LLMs), multi-agent systems, and flow engineering will drive innovation and success. We are looking for a PhD-level professional who not only possesses strong technical skills but also has a passion for mentoring and guiding our machine learning team while advocating for the latest technologies.Key Responsibilities:Lead the technical innovation process, fostering strong relationships to ensure the effective development and deployment of cutting-edge LLMs.Collaborate with cross-functional teams and stakeholders to seamlessly integrate LLMs into diverse applications and workflows, offering expert technical guidance and support.Formulate and implement extensive testing strategies to validate the performance and efficacy of LLMs across various applications.Innovate by designing and developing unique LLM architectures that align with specific business objectives and identify enhancement opportunities within existing models.Stay ahead of industry trends by researching and exploring new methodologies, algorithms, and tools.Identify, curate, and manage high-quality datasets relevant to business goals, suitable for training, validating, and testing LLMs.Investigate alternative data sources, create synthetic datasets, and develop bespoke data generation techniques.

Nielsen Company is seeking a Lead Machine Learning Engineer to join the team in Bengaluru. This individual contributor role centers on building advanced machine learning solutions that shape products and services throughout the organization. Key responsibilities Design and deploy scalable machine learning models for practical use cases Collaborate with teams from different functions to embed machine learning into core offerings Use deep knowledge of machine learning to inform data-driven decisions Location This position is located in Bengaluru.

CommerceIQ develops an AI platform designed to help major global brands optimize their operations and sales. The platform features AI agents that assist with content management, media planning, and sales processes.These AI solutions connect directly with the daily workflows of Fortune 100 companies, supporting their teams in managing complex business activities more efficiently.LocationThis position is based in Bengaluru, Karnataka, India.

About Cognite Cognite specializes in industrial digitalization and AI, developing data solutions that address complex industry challenges. The team combines deep industrial experience with a suite of AI tools, including accessible low-code AI agents, to speed up digital transformation and drive operational improvements. The company values curiosity and welcomes those who see obstacles as chances to move forward. Cognite’s goal is to create significant impact across industries, aiming to unlock $100 billion in customer value by 2035. Learn more about their vision in the Moonshot initiative. The Bengaluru, India office is part of this global effort, where AI, data, and creativity come together to shape a smarter, more connected industrial future.

Join Continental as an IT Engineer specializing in Machine Learning, where you will leverage cutting-edge technologies to enhance our innovative solutions. As part of our dynamic team in Bengaluru, you will work on developing and implementing machine learning models, contributing to projects that have a significant impact on the automotive industry.

Join our dynamic team at Sumo Logic as a Senior Machine Learning Engineer, where you will play a pivotal role in designing and implementing cutting-edge machine learning models to drive our product innovations. Collaborate with talented professionals in a fast-paced environment and leverage your expertise to solve complex problems and enhance data-driven decision-making across the organization.

Cerebras Systems is at the forefront of AI technology, developing the largest AI chip in the world, which is 56 times larger than conventional GPUs. Our innovative wafer-scale architecture enables the power of dozens of GPUs on a single chip, simplifying programming and delivering unparalleled training and inference speeds. This allows users to seamlessly run large-scale machine learning applications without the complexities of managing multiple GPUs or TPUs.Cerebras serves a diverse clientele, including leading model labs, global corporations, and pioneering AI startups. Recently, OpenAI forged a multi-year partnership with Cerebras, harnessing our technology to deliver 750 megawatts of scale for ultra-fast inference across critical workloads.Our wafer-scale architecture has positioned Cerebras as the provider of the fastest Generative AI inference solution globally, achieving speeds over 10 times faster than traditional GPU-based hyperscale cloud inference services. This significant speed enhancement is revolutionizing the user experience of AI applications, facilitating real-time iterations and boosting intelligence through advanced computational capabilities.About The RoleAs the ML QA Lead, you will be instrumental in ensuring the quality of Cerebras software across all supported machine learning workloads and workflows. You will join the Machine Integration and Quality (MIQ) team, focusing on software component feature testing, ML training accuracy, performance validation, and pre-deployment checks for customer workloads.In this role, you will advocate for best practices in testing, promote effective debugging methodologies, and encourage strong communication across teams to deliver world-class products.ResponsibilitiesEnsure the quality of various software and hardware components of Cerebras solutions to guarantee the accuracy, performance, and usability of model training.Implement effective testing methodologies, enhance team communication, and utilize strong debugging skills.Uphold the highest quality standards across all components within the Cerebras environment.Automate workflows, establish testbeds, and develop tools for efficient monitoring and debugging.Innovate testing strategies to identify weaknesses in the system.

Join Bazaarvoice as a Senior Machine Learning Engineer and help shape the future of smart shopping experiences. In this pivotal role, you will leverage your expertise in machine learning and artificial intelligence to design and implement innovative solutions that connect brands with consumers, enhancing their shopping journey. You will be part of a dynamic team focused on harnessing user-generated content to create impactful insights and drive business growth. Work in a collaborative environment where your contributions are valued, and take part in solving the challenge of establishing genuine connections between brands and consumers.

Join Endava as a Senior Machine Learning Engineer and play a pivotal role in developing innovative machine learning solutions that drive our clients' success. In this position, you will leverage your expertise in algorithms, data modeling, and statistical analysis to create predictive models and enhance decision-making processes.You will collaborate with cross-functional teams to implement state-of-the-art machine learning techniques and contribute to the design and architecture of scalable data systems. If you are passionate about machine learning and eager to deliver impactful results, we want to hear from you!

About AiDASHAiDASH is a pioneering enterprise AI firm that specializes in providing vegetation risk intelligence for electric utilities. Utilizing our exclusive VegetationAI™ technology, we deliver a comprehensive remote grid inspection and monitoring platform that adopts a SatelliteFirst approach to identify and mitigate vegetation and other hazards impacting the grid. Our proactive strategy minimizes wildfire risks and reduces the effects of storms, enabling over 140 utilities to cut costs, enhance reliability, and lower liabilities across their infrastructure. AiDASH is dedicated to protecting critical utility systems and ensuring a sustainable future for humanity. Discover more at www.aidash.com.As a Series C growth company, we are supported by esteemed investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, and others. We are honored to be recognized by Forbes for two consecutive years as one of “America’s Best Startup Employers” and to feature in Time Magazine’s “America’s Top GreenTech Companies 2024.” Recently, Deloitte Technology Fast 500™ ranked us No. 12 among companies in the San Francisco Bay Area and No. 59 overall among their top 500 for 2024.Join us in Securing Tomorrow!The RoleWe are seeking a highly experienced Staff Machine Learning Engineer to define and expand the core of our production ML ecosystem. In this capacity, you will design high-performance ML systems that drive our geospatial intelligence platform, converting extensive satellite and aerial imagery into actionable insights. Your responsibilities will encompass complete ownership—from model deployment and MLOps to infrastructure design—while collaborating closely with data science, platform engineering, and product teams to deliver dependable, scalable, and cost-effective ML solutions. If you excel at the intersection of advanced technical knowledge, system architecture, and cross-functional teamwork, this opportunity is for you.How You'll Make an Impact:ML System Architecture & Production DeploymentDesign, build, and maintain end-to-end ML pipelines for batch processing...

We are on the lookout for a talented and experienced Senior Machine Learning Engineer with a strong focus on multimodal generative AI models, cross-modal architectures, and advanced multimodal fusion techniques. The ideal candidate will possess a robust technical foundation spanning text, vision, audio, and video modalities, alongside a passion for mentoring and promoting the integration of innovative technologies.

Join Us at WisdomAIAt WisdomAI, we are dedicated to democratizing access to data and insights for everyone. We believe that data has the potential to transform decision-making, and with the advent of Generative AI, we aim to revolutionize how employees uncover insights within their organizations. As we grow, now is an exciting time to join our team. We proudly serve multiple Fortune 100 companies and as one of the early members, you will have the opportunity to significantly influence our product and engineering roadmap.Your RoleWe are in search of talented ML/NLP engineers to become part of our dynamic team. Our focus lies in tackling fundamental challenges in areas such as LLM-based code generation, document understanding, context synthesis, and LLM-based agents. Our team comprises professionals with backgrounds from industry leaders like Glean, Apple, Rubrik, Google, and Meta.Key ResponsibilitiesDevelop workflows and agentic pipelines for complex analytical tasks.Create and implement evaluation frameworks for our query processing engine.Collaborate closely with customers and founders to shape the product and engineering roadmap.Contribute to cultivating a robust engineering culture and enhancing our tech stack.

Teamwork makes the stream work. Roku is revolutionizing the way the world engages with television.As the leading TV streaming platform in the U.S., Canada, and Mexico, we aim to empower every television globally. Roku has been at the forefront of streaming technology, and our mission is to be the ultimate TV streaming ecosystem. We connect viewers with their favorite content, offer content creators a platform to build and monetize their audiences, and provide advertisers with unique engagement opportunities.From day one at Roku, your contributions will be recognized and valued. We are a rapidly expanding public company where every individual plays a pivotal role. Join us in bringing joy to millions of TV streamers while gaining invaluable experience across various disciplines. About the RoleWe are on the lookout for an exceptional and innovative Machine Learning Platform Engineer to join Roku's Recommendation team. In this position, you will design, construct, and scale robust distributed systems that deliver personalized content recommendations to millions of Roku users. Your focus will be on developing comprehensive machine learning platforms and infrastructure that ensure seamless deployment, monitoring, and optimization of algorithms and operational workflows, providing unique experiences at scale.What You'll Be DoingDesign, develop, and maintain scalable platform services, such as feature stores, real-time inference services, and vector databases, capable of handling millions of transactions per second.Execute and monitor online A/B tests using robust platform services while analyzing platform metrics and business KPIs to enhance recommendation system performance.Collaborate closely with U.S.-based engineering and cross-functional teams to convert business requirements into modular platform components and APIs.Advance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs.Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies.We’re excited if you have5+ years of experience building...

InMobi Advertising is a pioneering global technology company that empowers marketers to seize pivotal moments. Our advanced advertising platform serves over 2 billion users across more than 150 countries, transforming real-time context into actionable business results through a commitment to privacy-first principles. We are the trusted partner for over 30,000 brands and leading publishers, where intelligence, creativity, and accountability come together. By leveraging lock screens, apps, TVs, and the open web with AI and machine learning, we provide attentive engagement, precise personalization, and measurable impact.With Glance AI, we are revolutionizing AI Commerce, envisioning the future of e-commerce through inspiration-driven discovery and shopping experiences. Seamlessly integrated into everyday technology, Glance AI turns every screen into a portal for immediate, personalized, and delightful discovery across a multitude of categories including fashion, beauty, travel, home décor, and more. Utilizing rich first-party data and unparalleled consumer insights, Glance AI harnesses InMobi's global reach and targeting capabilities to craft impactful, performance-driven shopping journeys for brands worldwide.Recognized as a Great Place to Work, and honored by MIT Technology Review and Fast Company’s Top 10 Innovators, InMobi is a workplace where innovative ideas create global significance. Supported by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has a presence in San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru, and beyond.Join us at InMobi Advertising and help shape the way billions of users engage with content, commerce, and brands globally. For more information, visit www.inmobi.com.

Transforming the quality of human interactions through advanced conversational AI.Machine Learning Engineer - GeneralistLocation: Bengaluru, IndiaExperience: 5 to 10+ yearsAbout the Team:The team at Symbl.ai is a vibrant and innovative group of specialists committed to enhancing the field of Conversational AI. We prioritize creativity and collaboration, striving to redefine the landscape of AI-driven communication technologies.About the Role:As a Machine Learning Engineer - Generalist at Symbl.ai, you will be instrumental in refining and expanding our Conversational AI platform, particularly focusing on our latest product, Nebula. You will engage in exciting projects that encompass machine learning and the unique features of Nebula, significantly contributing to the advancement of our technology stack.Key Responsibilities:Collaborate with cross-disciplinary teams to design and implement machine learning algorithms and models for Nebula and related Conversational AI projects.Develop and enhance data pipelines and workflows that facilitate machine learning model training and deployment.Participate in the design and architecture of Nebula's features, utilizing machine learning methodologies to improve functionality.Conduct experimental analyses to boost model performance and accuracy, iterating on algorithms and approaches as necessary.Contribute to the assessment and integration of third-party tools and libraries to strengthen our ML framework.Stay updated on the latest trends in machine learning and AI research, integrating new techniques and methodologies into our initiatives as needed.Why Join Us?By joining Symbl.ai, you will be at the cutting edge of Conversational AI innovation, playing a crucial role in shaping the future of communication with state-of-the-art technology. You will have the opportunity to make a meaningful impact on the development of Nebula and other pioneering projects.

Join Aarki Inc. as a Senior Machine Learning Engineer and be part of a dynamic team that is shaping the future of machine learning solutions. In this role, you will leverage your expertise in machine learning algorithms and data science to develop innovative models and applications that drive business success.

IntroductionAbout UsFounded in 2013, Mercari is a leading C2C marketplace based in Japan, driven by our mission to "Create value in a global marketplace where anyone can buy & sell." Since our inception, we have evolved into a prominent global player, achieving remarkable milestones such as being the first Japanese tech unicorn before our IPO in 2018. Our journey continues as we strive to expand our presence and services worldwide.Over the years, the Mercari Group has continually invested in our people and technology, transitioning from Japan's top C2C marketplace to new markets like the U.S. We have also introduced innovative services like Merpay, a mobile payment platform aimed at fostering a society where everyone can achieve their dreams through a comprehensive ecosystem, encompassing payment services and credit facilitation. Today, the Mercari Group encompasses various subsidiary businesses, including logistics, B2C platforms, blockchain, and sports team management.As we aim to enhance our services for a global audience, we recognize the need for top-tier talent. This is the motivation behind launching our India Center of Excellence. Together, we can rise to international challenges and pave the way for Mercari to become a successful global tech enterprise.Our CultureAt Mercari, our organizational culture and each employee's values guide our mission. Our core principles are encapsulated in four key values: Go Bold, All for One, Be a Pro, and Move Fast. Our foundational pillars include Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance. Regardless of our growth, maintaining our culture is vital to our mission. We invite you to explore the Mercari Culture Document, which outlines the behaviors and mindset that define Mercari and its employees. We are committed to fostering an environment where members from diverse backgrounds are embraced and acknowledged, allowing them to flourish while upholding Mercari's culture.Work ResponsibilitiesAs a Machine Learning Engineer specializing in the Recommendation domain, you will be responsible for developing and enhancing the functions and services of the Mercari marketplace app by building and maintaining advanced machine learning systems such as recommender systems, utilizing the necessary infrastructure and collaborative efforts within the company.

Cerebras Systems is revolutionizing the AI landscape with the world's largest AI chip, boasting a size 56 times greater than traditional GPUs. Our cutting-edge wafer-scale architecture delivers the computational power equivalent to dozens of GPUs on a single chip, while simplifying programming through a unified device interface. This innovative approach enables Cerebras to achieve unparalleled training and inference speeds, allowing machine learning practitioners to seamlessly deploy large-scale ML applications without the complexities of managing numerous GPUs or TPUs.Cerebras counts among its clients leading model labs, multinational corporations, and pioneering AI startups. Notably, OpenAI has recently formed a multi-year alliance with Cerebras to harness 750 megawatts of capacity, redefining essential workloads with rapid inference capabilities.Our groundbreaking wafer-scale architecture positions Cerebras Inference as the fastest Generative AI inference solution globally, achieving speeds more than 10 times quicker than GPU-based hyperscale cloud inference services. This dramatic enhancement in processing speed transforms the experience of AI applications, facilitating real-time iteration and amplifying intelligence through additional agentic computation.About The RoleAs a Research Engineer on the Inference ML team at Cerebras Systems, you will be tasked with adapting the most sophisticated language and vision models to optimize performance on our flagship Cerebras architecture. Collaborating closely with ML researchers and engineers, you will design, prototype, validate, and enhance models, gaining comprehensive exposure to advanced inference research on the world's fastest AI accelerator.

About Cognite Cognite builds AI and data solutions for industrial digitalization. The company draws on its industrial background to deliver tools that help organizations address complex challenges. With offerings such as low-code AI agents, Cognite supports digital transformation and operational improvement across sectors. The team values persistence and growth through challenge. Those who see obstacles as opportunities tend to thrive here. Cognite’s goal is ambitious: unlock $100 billion in customer value by 2035 and help reshape the global industrial landscape. Learn more about this vision in their newsroom.