Staff Software Engineer - Machine Learning/Artificial Intelligence

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.

Key Responsibilities:• Deliver engaging classroom instruction and facilitate foundational courses in Digital Marketing and Management.• Responsible for the delivery and facilitation of programs such as BBA in Digital Marketing and other related fields.• Develop and create innovative curriculum content.• Conduct workshops and masterclasses in Digital Marketing and related subjects.• Provide mentoring and support to students in preparation for internships and job placements.• Ensure compliance with partnered university standards in examination, evaluation, and academic administration.• Mentor students on live projects, assignments, and offer personal guidance and counseling, providing offline support for feedback and doubt resolution.• Maintain accurate class records and relevant academic data.• Assess students’ performance and evaluate final scores, credits, and other university submissions.• Liaise effectively with the ImaginXP Academic Head and the Dean of the partnered university.

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.

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.

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 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 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...

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.

Join Tekion as a Software Engineer II focused on our cutting-edge Machine Learning Platform. In this role, you will collaborate with a talented team of engineers and data scientists to design and implement innovative machine learning solutions that drive our products forward. Your expertise in software development and machine learning will contribute to creating scalable and efficient systems.

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.

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.

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 Our TeamAt Mercari, we are on a mission to revolutionize the global marketplace by enabling everyone to buy and sell with ease. As a leading C2C marketplace company founded in Japan in 2013, we have evolved into a noteworthy player in the tech industry, becoming Japan's first tech unicorn prior to our IPO in 2018. We are dedicated to our ongoing transformation and global expansion.Our growth has been fueled by continuous investment in our people and technology, allowing us to branch out from Japan into the U.S. market. We have also successfully introduced innovative services such as Merpay, a mobile payment platform designed to empower users to achieve their dreams through a comprehensive ecosystem that transcends traditional payment services.As we strive to broaden our global reach, we recognize the importance of attracting top-tier talent, which is why we have established the India Center of Excellence. Your contributions will be pivotal in shaping our future as a successful global technology enterprise.Our ValuesAt Mercari, our culture is built on shared values that guide our actions and decisions. We embrace the principles of Go Bold, All for One, Be a Pro, and Move Fast. Our foundational pillars—Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance—are integral to our mission. We encourage you to explore our Mercari Culture Doc to understand the mindset shared by our team.Key ResponsibilitiesDesign, develop, and maintain advanced machine learning systems, particularly in the Recommendation domain, to enhance the functionality of the Mercari marketplace application.Collaborate with cross-functional teams to ensure the integration of machine learning capabilities within our platforms.Continuously optimize and refine algorithms to improve user experience and engagement.

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).

Who We AreEma is pioneering a revolutionary AI technology aimed at empowering every employee within the enterprise to unlock their full potential in creativity and productivity. Our proprietary technology enables companies to automate repetitive tasks, allowing their workforce to focus on more impactful work. Founded by former executives from Google, Coinbase, and Okta, as well as seasoned entrepreneurs, we have attracted investment from prominent backers including Accel Partners, Naspers, Section32, and renowned Silicon Valley Angels like Sheryl Sandberg, Divesh Makan, Jerry Yang, Dustin Moskovitz, David Baszucki, and Gokul Rajaram.Our team is a powerhouse of exceptional talent, featuring engineers from top tech giants like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. Our members hail from prestigious institutions such as Stanford, MIT, UC Berkeley, CMU, and the Indian Institute of Technology. With robust funding from elite investors and angel backers, Ema operates from Silicon Valley and Bengaluru, India. This position offers a hybrid work model, requiring employees to work from the office three days a week.Who You AreWe seek innovative and passionate Machine Learning Engineers eager to join our dynamic team. You thrive on solving complex challenges, relish working with substantial datasets, and excel at transforming theoretical concepts into scalable practical solutions. As a collaborative team player, you also flourish in independent environments where your ideas can drive significant change. You are excited about leveraging machine learning techniques to explore the frontiers of Natural Language Processing, Information Retrieval, and related technologies. Most importantly, you are enthusiastic about contributing to a mission-driven, high-growth startup poised to make a lasting impact.Your ResponsibilitiesConceptualize, develop, and deploy machine learning models that serve as the backbone of our NLP, retrieval, ranking, reasoning, dialogue, and code-generation systems.Implement cutting-edge machine learning algorithms, including Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems, to enhance the performance of our AI solutions.Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured) and utilize insights to refine our model development.Engage across the complete lifecycle of ML model development — from problem definition and data exploration to feature engineering and model evaluation.

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.

keywords-intl1 is looking for a Project Lead - Artificial Intelligence to join the team in Bengaluru, Karnataka, India. This position guides AI projects from initial planning through final delivery, working with colleagues across multiple departments. Key Responsibilities Direct artificial intelligence projects from start to finish Manage project schedules and deliverables Collaborate with teams from various areas of the company to develop AI solutions Ensure project results support the company's strategic goals Location This role is based in Bengaluru, Karnataka, India.

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.