IT Engineer - Machine Learning

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.

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!

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...

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 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.

Teamwork makes the stream work. Roku is transforming the way the world experiences television.As the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to empower every television globally. We have pioneered streaming to the TV and strive to be the platform that connects the entire TV ecosystem. Our mission is to connect consumers with their favorite content, assist content publishers in growing and monetizing their audiences, and provide advertisers with unique ways to engage consumers.From your first day with Roku, your contributions will be valued. As a rapidly growing public company, we encourage active participation from all team members. This role offers you the chance to make an impact on millions of TV streamers worldwide while gaining valuable experience across various disciplines. About the Team The Advertising Performance team is dedicated to optimizing the experience for Advertisers, Publishers, and Roku. Our systems and solutions employ advanced disciplines and technologies to achieve real-time multi-objective optimization within distributed systems, ensuring large-scale performance with minimal latency. Leveraging Machine Learning, Reinforcement Learning, AI, Control, and Optimization Systems, and Auction Dynamics, we tackle a wide array of complex challenges. Central to our operations is the Machine Learning, Experimentation, and Inference Platform, which we continuously enhance to adapt to the evolving landscape. About the Role In this position, you will play a pivotal role in developing cutting-edge machine learning solutions...

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.

Collaboration Fuels Innovation. Join Roku in Transforming TelevisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is dedicated to revolutionizing how viewers engage with content. Our vision is to empower every television globally by creating seamless connections between consumers, content providers, and advertisers. We provide unparalleled opportunities for both viewers and creators, fostering a thriving TV ecosystem.At Roku, your contributions matter from day one. As a part of our dynamic and rapidly growing public company, you'll have the chance to delight millions of users worldwide while gaining invaluable experience across diverse areas. About Our TeamOur Ad Engineering Team is responsible for developing a highly scalable and reliable real-time advertising platform to support Roku's expanding advertising business. We are searching for a Senior Machine Learning Engineer to play a key role in this exciting mission. If you possess extensive experience in building intricate systems with Machine Learning and Data Science, thrive in a fast-paced environment, and enjoy mentoring others, this position is tailor-made for you!Based in our Bengaluru office, the Ad Serving team ensures that advertisements on the Roku platform are relevant and high-quality, enhancing outcomes for advertisers and providing an excellent experience for viewers. With millions of ad requests daily, we are committed to leveraging cutting-edge ML-driven systems to optimize ad delivery across various regions and languages. Your RoleIn this role, you will design and develop Machine Learning models that enhance our understanding of advertisement content. These models will analyze visual, audio, and text elements of ads in multiple languages. You will be involved in creating computer vision and machine learning methodologies, including deep learning models, generative AI solutions, large language models (LLMs), and vision-language models (VLMs). Collaborating with software engineers and other ML engineers, you will identify, build, train, and deploy these models to improve brand safety and maximize revenue opportunities.

Collaboration Fuels Our Innovation. Join Roku in Transforming the Future of TelevisionAs the leading TV streaming platform across the U.S., Canada, and Mexico, Roku is on a mission to revolutionize how the world engages with television. Our innovative platform connects viewers with the content they cherish, empowers content creators to grow and profit from their audiences, and provides advertisers with unique tools to connect with consumers.From the moment you join Roku, your contributions will be recognized and valued. We are a dynamic, rapidly growing public company where every team member plays a crucial role. Enjoy the opportunity to impact millions of TV viewers globally while gaining invaluable experience across various fields. About the TeamRoku continues to innovate and lead the industry in television streaming. Our success depends on our commitment to enhancing our machine learning capabilities. With millions of content options available, our Content Platform is essential for integrating content into the Roku ecosystem, ensuring customer satisfaction. We are currently seeking a Senior Machine Learning / AI Engineer for the Content Platform to spearhead further advancements. About the RoleAs we continue to define the future of television, including advancements in TV advertising, our ongoing success hinges on our investment in machine learning. The Roku Content Platform plays a pivotal role in delivering diverse content experiences to our users. We are looking for a talented Senior Machine Learning / AI Engineer to develop a content knowledge platform that provides insights to downstream systems, enhancing user experiences through Search, Recommendations, Ads, and Voice functionalities.

Teamwork makes the stream work. Roku is revolutionizing the way the world experiences television.As the leading TV streaming platform across the U.S., Canada, and Mexico, Roku's ambition is to power every television globally. Pioneering the streaming movement, our mission is to establish ourselves as the premier TV streaming platform, connecting consumers with their favorite content, assisting publishers in building and monetizing extensive audiences, and equipping advertisers with unique tools to engage users effectively.From your first day at Roku, you’ll make a significant impact. As a rapidly expanding public company, every member of our team plays a vital role. You will have the chance to delight millions of TV streamers worldwide while gaining valuable experience across various disciplines. About the TeamRoku continues to lead the TV streaming market with over 70 million active accounts in North America. Our ongoing success is deeply rooted in our commitment to advancing our machine learning and recommendation engine. We empower users to access a vast array of content, from movies and episodes to news, sports, music, and channels from around the globe. About the RoleWe are on a quest to develop state-of-the-art advertising technology that empowers businesses to execute sustainable and highly profitable campaigns. The Ad Performance team focuses on server technologies, cloud services, and data analytics aimed at enhancing the advertising experience. We seek experienced engineers with a strong background in machine learning to assist us in this endeavor. Responsibilities include improving ad relevance, demographic inference, yield optimization, and more. Candidates must apply their expertise in experimental methodologies, statistics, optimization, probability theory, and machine learning utilizing both general-purpose software and statistical languages.

Teamwork Makes the Stream Work. Join Roku as We Transform TV ViewingRoku is the leading TV streaming platform across the U.S., Canada, and Mexico, with a vision to empower every television globally. We pioneered streaming to TVs and aim to be the essential platform connecting the entire television ecosystem. Our mission is to connect consumers with their favorite content, assist publishers in building and monetizing vast audiences, and offer advertisers unique engagement capabilities.Your journey with Roku will start with you making significant contributions from day one. As a rapidly growing public company, everyone here plays an essential role. You will have the chance to delight millions of TV streamers globally while gaining invaluable experience across various disciplines. About the Role Our Search Platform is central to the Roku experience, enabling voice, text, and visual discovery for over 100M+ active accounts across all Roku-powered devices worldwide. We manage the entire stack—from ingesting and enriching a multi-million-title knowledge graph to providing low-latency retrieval services and extensive machine-learning systems that personalize user experiences in real-time. This role will not only help users discover their favorite shows but will also drive critical product features (home-screen rows, browse hubs, Roku Voice, mobile app search) and support partner monetization. If you thrive on turning cutting-edge research into products used billions of times daily, this is the place for you.With Roku's footprint having quadrupled in the last five years and user expectations soaring, we are reimagining our relevance stack for the next decade. We are integrating advanced technologies such as LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image).

Join our innovative team at Tekion as a Senior Software Engineer specializing in Machine Learning Platforms. In this role, you will develop cutting-edge algorithms and applications that enhance our machine learning capabilities, driving the future of technology in the automotive industry. You will collaborate with cross-functional teams to create scalable and efficient solutions that meet business needs. Your expertise will contribute to building high-performance systems that optimize user experiences.

Join Tekion, a forward-thinking technology company revolutionizing the automotive retail experience through our innovative machine learning platform. As a Senior Software Engineer, you will be integral in developing cutting-edge solutions that leverage machine learning algorithms to enhance our platform’s capabilities and improve user experience.

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...

Role overview LinkedIn seeks a Senior Staff Software Engineer specializing in Machine Learning to join the Bengaluru team. The position focuses on designing and developing advanced algorithms and systems that enhance the user experience throughout the LinkedIn platform. What you will do Develop and deploy complex machine learning models and solutions to address platform needs. Collaborate with cross-functional teams to identify and implement new applications for machine learning technology. Contribute to LinkedIn’s mission of connecting professionals and supporting their productivity and success.

Join Tekion as a Senior Staff Software Engineer specializing in our cutting-edge Machine Learning Platform. In this pivotal role, you will leverage your expertise in software engineering and machine learning to drive innovative solutions that enhance our platform's capabilities and user experience. Collaborate with a talented team to architect and implement scalable systems, contribute to the development of machine learning models, and ensure the highest standards of quality and performance.

Collaborate to Innovate in Streaming. Join Roku's Vision to Revolutionize TelevisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to power every television globally. We have transformed how people enjoy their favorite shows and movies by connecting consumers to the content they love, assisting publishers in reaching vast audiences, and offering advertisers unique tools to engage effectively.At Roku, your contributions will be recognized from day one. We are a rapidly expanding public company where every team member plays a pivotal role. This is your chance to impact millions of TV streamers worldwide while gaining valuable experience across diverse fields. About Our Team The Ad Data Activation organization is at the forefront of building a reliable, privacy-conscious, and scalable data foundation vital to Roku’s advertising growth. We develop identity systems, device graph pipelines, audience platforms, and insights tools that empower precise targeting, measurement, and reporting across Roku Ads. We are seeking a Senior Machine Learning Engineer to enhance our systems' intelligence. You will operate at the intersection of large-scale data platforms, applied machine learning, and generative AI, developing functionalities that make Roku's advertising data actionable for both internal teams and advertisers. This role involves creating core generative AI platform features for Roku Advertising, alongside applying traditional ML 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.

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.