Lead Machine Learning Engineer

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...

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.

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 Lookout, Inc., a leading global name in cybersecurity, as we fortify enterprise defenses against human error and manipulation. Our cloud-native platform is designed for quick deployment and streamlined security operations, protecting mobile devices from the rising tide of human-centric attacks. Cybercriminals increasingly target individuals through social engineering tactics that exploit trust, curiosity, and urgency, leading them to compromise sensitive information. We specialize in Lookout Endpoint Detection and Response (EDR), which continuously monitors mobile endpoints for indications of human-centric attacks, traditional malware, software vulnerabilities, and other unusual activities. By leveraging advanced threat detection methods, including artificial intelligence (AI) and behavioral analysis, we identify potential threats before they can escalate. Lookout's backend systems are engineered to handle vast amounts of data while meeting the growing demand for data ingestion, delivery, and dynamic analysis. We seek skilled and driven engineers to develop core components and services, contributing to the advancement of our architecture. As part of our small team, you'll work on a large-scale, modern system with millions of users, allowing you to engage with cutting-edge products and services.

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 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.

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 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.

Join a dynamic team as a Member of Technical Staff specializing in Machine LearningSalary range: Rs 2500000 - Rs 4000000 (i.e., INR 25-40 LPA)Minimum Experience: 2 yearsLocation: BengaluruJob Type: Full-timeWe are seeking a passionate Member of Technical Staff – Machine Learning with 2–3 years of practical experience in Python development, API engineering, and expertise in Large Language Models (LLMs). In this role, you will be instrumental in creating and scaling ML-driven features, embedding AI capabilities into production systems, and aiding in the development of AI-first products.

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!

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.

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.

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.