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 soci…

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.

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.

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...

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.

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 Tekion as a Senior Machine Learning Engineer, where you'll be at the forefront of innovation in the automotive industry. Your expertise will contribute to developing cutting-edge machine learning solutions that enhance our platform's functionality and performance. Collaborate with cross-functional teams to design and implement scalable algorithms, transforming complex data into actionable insights.

Together, we create the perfect streaming experience. Transforming Television Viewing with RokuAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to connect every television worldwide. We pioneered the streaming revolution, and our goal is to be the go-to platform that unifies the television ecosystem. By connecting viewers with beloved content, assisting publishers in building sizable audiences, and offering advertisers unique engagement opportunities, we are redefining the viewing experience.From day one at Roku, you will be a valued contributor in a fast-paced public company. Here, you will have the opportunity to bring joy to millions of TV streamers globally while gaining substantial experience across diverse fields. About the TeamThe Search & Recommendations (S&R) team at Roku is responsible for our core content discovery platform, enabling viewers to find what to watch across Roku Search, Browse, The Roku Channel, Live TV, sports, and partner experiences. This pivotal team operates at the crossroads of consumer experience, machine learning, distributed systems, content metadata, and business impact.The mission of the Search team is to deliver the ultimate TV search experience: fast, extensive, and consistently relevant. This involves comprehending typed, on-screen keyboard, and voice queries, efficiently retrieving content from a vast catalog, intelligently ranking results, and continuously enhancing discovery quality through experimentation and metrics. Effectively executed, this work significantly improves key metrics for Roku, such as streaming hours, user engagement, and monetization. About this RoleAs a Senior Manager in the Roku Search team, you will lead a talented group of engineers and machine learning scientists dedicated to enhancing the search functionality that powers Roku. Collaborating closely with product managers, designers, and content partners, you will drive innovative solutions to elevate our search capabilities and user experience.

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.

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.

Who are we?Our MissionAt Altimate AI, we are a groundbreaking seed-stage startup transforming the operations of data teams by automating essential yet repetitive tasks. Our innovative AI assistant, DataPilot, is designed to reduce costs, improve data quality, and accelerate development cycles for data teams. DataPilot's AI agents integrate effortlessly into everyday workflows, providing a unique combination of AI-powered support via VSCode IDE extensions, browser-based applications, and a flexible SaaS platform. As we revolutionize development tools through AI, our product is utilized by hundreds of companies globally and is backed by a vibrant community of thousands of data professionals.Our TeamWe are a team of Silicon Valley veterans who have previously developed category-defining data and AI products cherished by numerous companies worldwide. Having closely experienced the transition from a small startup to an IPO, we are embarking on a similar journey once again, supported by distinguished advisors and venture capital firms with extensive portfolios.What We SeekWe are in search of a Machine Learning Engineer who is passionate about innovation and adept at solving complex problems that go beyond traditional coding. Ideal candidates will have a deep understanding of machine learning algorithms, data structures, and modeling techniques, along with a drive to design and enhance the core of our AI-driven solutions.

Join our dynamic team at Earnin as a Senior Machine Learning Engineer, where you will leverage your expertise to develop innovative machine learning solutions that empower our users. You will play a crucial role in transforming data into actionable insights, enhancing our platform's capabilities, and driving business growth.

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.

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.

Join Consuma as a Machine Learning Engineer, where you'll be responsible for designing and enhancing AI systems that drive our innovative research platform. Your expertise will span across retrieval systems, large language models (LLMs), and intelligent workflows to elevate brand research from brief to comprehensive reports in mere minutes.

The Applied AI team at Databricks is at the cutting edge of AI and ML-driven products. Our customers constantly create a variety of assets (such as tables, notebooks, dashboards, and ML models) on our platform, making the search for these assets a vital aspect of their experience.As our Search product continues to grow, we are looking for multiple Machine Learning Engineers at various experience levels to enhance our Search Quality. In 2026, our primary focus will be on improving search ranking, query comprehension, developing robust evaluations, and expanding asset coverage to facilitate seamless searching at scale.

The Applied AI team at Databricks is at the leading edge of developing innovative AI and machine learning-powered products. Our customers continuously create vast numbers of assets—such as tables, notebooks, dashboards, data rooms, pipelines, SQL queries, and ML models—on our platform, some totaling hundreds of millions of assets. Navigating and locating these assets is vital for our users to efficiently complete their tasks.As our Search product continues to grow and advance, we are looking for multiple ML Engineers at various seniority levels to enhance our Search Quality. In 2026, our focus will be on improving search ranking, enhancing query understanding, building robust evaluations, and expanding asset coverage to facilitate seamless search capabilities at scale.

This position is offered through one of Weekday's esteemed clients.Job Type: Full-timeAs the Engineering Manager, you will spearhead the comprehensive execution of machine learning-driven initiatives, guiding them from conception and experimentation to deployment and ongoing enhancement. Collaborating closely with cross-functional teams including product, design, data, and business stakeholders, you will ensure engineering solutions are in line with product objectives and consumer demands. Your leadership will be pivotal in mentoring engineers, establishing best practices, and cultivating a culture of innovation, accountability, and excellence. A strong mix of people management, technical expertise, and product insight is essential for this role.

Key Responsibilities:Architect, develop, and maintain efficient and scalable batch and stream data processing infrastructures to facilitate day-to-day machine learning operations, including training, serving, evaluation, and experimental systems.Create and implement foundational data models, data warehouses, and processing pipelines (both real-time and offline) using technologies such as AWS EMR Spark, Apache Kafka, AWS Athena, Snowflake, Airflow, and Apache HUDI.Collaborate closely with machine learning and data science teams to assess their data requirements, influence the data team’s strategic roadmap, and lead the execution of various initiatives.Establish a data governance platform to ensure secure and compliant data management, encompassing services for data cataloging, lineage tracking, auditing, data deletion, and masking.Develop and manage orchestration platforms utilizing Temporal and Airflow, empowering other teams to create features and workflows.Design and enhance platform and data services/APIs to provide data access for diverse stakeholders and customer-facing data products.