For over two decades, Smartsheet has empowered individuals and teams to accomplish remarkable feats. From efficient work management to innovative, scalable solutions, we have consistently embraced the flow of progress. We are developing tools that enable teams to automate repetitive tasks, extract meaningful insights, and scale operations intelligently. More importantly, we are fostering an environment where big ideas can flourish, decisive actions can be taken, and impactful work can be realized. When challenges meet purpose and passion fuels progress, that’s when the magic happens—and that’s our everyday commitment.We are seeking a Senior Machine Learning Operations Engineer to architect and oversee the machine learning production lifecycle. Your primary responsibility will be to deploy and maintain ML models within a scalable, reliable, and secure production environment. You will design and uphold the infrastructure, automation, and monitoring systems that ensure our AI products perform optimally and are cost-effective.You will report to the Director of Analytics Engineering & Data Governance based in our Bellevue, WA office but can work remotely from any location in the US where Smartsheet is registered as an employer.Your Responsibilities Will Include:Model and Pipeline AutomationAutomate the deployment and retraining of ML models, managing complete CI/CD/CT (Continuous Training) pipelines in accordance with MLOps best practices.Build, fine-tune, or utilize pre-trained LLMs, deep learning models, or traditional machine learning models.Evaluate and recommend AI or ML solutions for our products using a mix of vendor solutions and custom-built models.Governance & ComplianceImplement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.Performance MonitoringContinuously monitor the health and performance of production machine learning models, proactively identifying and rectifying model drift, staleness, and performance degradation.Incorporate user feedback for ongoing improvements and manage necessary model retraining cycles.Cross-Functional CollaborationAct as a crucial link between Data Scientists who create models and Software Engineers who implement them.Collaborate effectively with software engineers, product managers, and business functions to integrate machine learning solutions across Smartsheet.

Join Bosch Group as a Senior Machine Learning Engineer and be at the forefront of innovative technology solutions. You will leverage your expertise in machine learning to develop cutting-edge models and algorithms that drive our projects forward. Collaborate with a dedicated team to implement real-world applications of AI and machine learning, contributing to the advancement of our products and services.

About ParspecFounded in 2021, Parspec is at the forefront of transforming material procurement within the $13 trillion USD construction industry. By digitizing and systematically organizing product data, our innovative AI technology provides a current and comprehensive catalogue of millions of products. This empowers our clients—designers, builders, distributors, and sales agents—to swiftly identify the products that align perfectly with their requirements. Supported by leading venture investors, Parspec is committed to paving the way for a more sustainable, connected, and innovative future in construction.Join us in creating transformative technology that reshapes one of the world’s oldest and largest industries.The OpportunityWe are on the lookout for a skilled and passionate Senior Machine Learning Engineer to become a vital part of our AI team. In this role, you will spearhead the development of advanced AI systems, designing, developing, and deploying state-of-the-art machine learning models, including optimizations for large language models (LLMs). You will be faced with complex data science challenges, working collaboratively with business, product, and engineering teams to deliver impactful AI-driven features. As a Senior ML Engineer, you'll lead intricate technical projects while mentoring junior team members and driving initiatives from conception through to deployment.This position provides a unique chance to be at the leading edge of innovation, utilizing advanced AI technologies to disrupt the construction industry.What You Will Achieve and Key ResponsibilitiesResearch, Design, Develop and Deploy AI Models and SystemsLead the research and development of diverse AI models, from small classifiers to fine-tuning LLMs for specific applications.Design, implement, and deploy AI-based solutions addressing business and product challenges.Establish and execute strategies to monitor and enhance the performance and efficiency of existing and new AI models and systems.Operationalize efficient dataset creation and management.Implement best practices for end-to-end data and AI pipelines.Collaborate closely with the leadership team on research and development initiatives to explore cutting-edge technologies.Work in partnership with cross-functional teams, including full-stack engineers, product managers, QA engineers, data annotation experts, and other stakeholders to ensure the successful implementation of AI technologies.

Role OverviewThe Senior Machine Learning Engineer for the Extraction team at Jumio is pivotal in driving the innovation of cutting-edge data extraction solutions for ID verification. This position is crucial for upholding the highest standards of security and user verification using advanced machine learning and deep learning methodologies. Your work will reinforce Jumio's position as a leader in the online identity verification, eKYC, and AML solutions marketplace. Role ImpactAs a Senior Machine Learning Engineer, you will significantly enhance the security and efficiency of our ID verification solutions. Leveraging your expertise in machine learning, deep learning, and computer vision, you will develop innovative algorithms that position Jumio as a front-runner in the industry. By deploying and managing these models in production environments, you will ensure the reliability and effectiveness of our solutions across various sectors, including Financial Services, Travel, Sharing Economy, Fintech, and Gaming. Your contributions are essential for maintaining Jumio's esteemed reputation as the top provider of online identity verification solutions, meeting the escalating demand for secure and seamless user verification on a global scale. Key ResponsibilitiesDesign and execute machine learning, deep learning, classical computer vision, and NLP algorithms aimed at data extraction.Conduct research to facilitate the deployment of sophisticated algorithms.Develop and maintain high-quality production code.Deploy models as AWS SageMaker endpoints or directly on devices.Stay abreast of the latest advancements in deep learning, computer vision, and NLP through academic research and industry conferences.Collaborate with fellow engineers and product managers in an Agile development environment.

Join blueoptima as a Senior Machine Learning Founding Engineer and play a pivotal role in shaping innovative machine learning solutions. As a founding member, you will leverage your expertise to design, develop, and deploy cutting-edge ML algorithms that drive our business forward.This position offers a unique opportunity to work in a dynamic startup environment where your contributions will directly impact our growth and success.

Role PurposeWe are in search of a Senior Machine Learning Engineer with extensive knowledge in computer vision and biometrics to spearhead the design and scaling of advanced face recognition systems in a production environment. You will be responsible for developing and training models while managing machine learning systems end-to-end on AWS. The final job level will be confirmed following the interview process.What You’ll DoLead the design and implementation of computer vision systems focusing on biometrics, including face attribute detection, quality assessment, and recognition.Conduct thorough fairness analysis and benchmark biometric models across diverse datasets and operational scenarios.Architect, train, and optimize models utilizing frameworks such as PyTorch, TensorFlow, or JAX.Manage and enhance comprehensive ML pipelines from data ingestion to deployment. Design automated systems (using Airflow) for data processing and cleansing. You will also be tasked with curating balanced training datasets and generating synthetic data to address quality and diversity issues.Ensure successful production engineering by optimizing models for low-latency inference through methods such as quantization, distillation, and utilizing TensorRT/ONNX, along with managing deployment on AWS.Provide mentorship to fellow ML engineers, conduct code and design reviews, and promote technical best practices within the Computer Vision team.

Join our innovative team at HackerRank as a Machine Learning Engineer, where you'll play a crucial role in developing cutting-edge machine learning models. This position is ideal for individuals passionate about artificial intelligence and eager to contribute to groundbreaking projects in a collaborative environment.

Waymo is seeking a skilled Senior Machine Learning Compiler Engineer to join our innovative team in Bangalore, Karnataka. As a key member of our compute team, you will play a crucial role in optimizing our machine learning models, enhancing performance, and enabling cutting-edge capabilities.You will work collaboratively with a talented group of engineers and researchers, utilizing your expertise in compiler design, machine learning frameworks, and software optimization techniques.

Zscaler seeks a Senior Staff Machine Learning Engineer based in Bangalore. This role leads significant projects in machine learning and artificial intelligence, directly influencing the evolution of Zscaler’s cloud security platform. Responsibilities Design and implement scalable machine learning models and algorithms for cloud security applications Guide technical decisions to align with business objectives Collaborate with cross-functional teams to improve and expand core features of Zscaler’s platform Role Impact Work in this position strengthens Zscaler’s platform by advancing the integration of machine learning and AI. The results of these efforts deliver value to both the business and its customers.

Join our innovative team at axicorp financial services as a Senior Machine Learning Engineer. In this pivotal role, you will leverage your advanced skills in machine learning and artificial intelligence to design, develop, and implement cutting-edge models that drive business solutions. You will collaborate with cross-functional teams to extract insights from large datasets, enhancing our product offerings and customer experiences.

Role Purpose: The Senior Machine Learning Engineer IV will be instrumental in driving Jumio's Fraud team's mission to innovate and refine cutting-edge solutions for fraud detection, particularly in the realm of ID verification. This position is vital for upholding the highest security standards and ensuring user authenticity through advanced machine learning and deep learning methodologies, thereby reinforcing Jumio's position as a leader in the online identity verification, eKYC, and AML solutions sectors. Role Value: As a Senior Machine Learning Engineer IV at Jumio, you will significantly influence the security and user experience of our ID verification offerings. Your deep expertise in deep learning and computer vision will propel the creation of groundbreaking algorithms that maintain Jumio's competitive edge. By deploying and overseeing these models in a production environment, you will guarantee the resilience and reliability of our solutions, catering to a diverse clientele across sectors such as Financial Services, Travel, Sharing Economy, Fintech, and Gaming. Your efforts will be crucial in sustaining Jumio’s reputation as the premier provider of online identity verification solutions, addressing the rising global demand for secure and seamless user verification.

Join HackerRank as a Machine Learning Engineer specializing in Evaluation! In this dynamic role, you will leverage your expertise in machine learning and data science to enhance our evaluation processes. Collaborate with cross-functional teams to develop innovative solutions that drive efficiency and accuracy in our assessments. Your contributions will play a critical role in shaping our technology and impacting the global tech community.

Join blueoptima as a Machine Learning Data Engineer, where your expertise will drive the creation and management of vital data pipelines to interpret our distinctive GIS datasets. You will develop analyses that range from foundational statistics to advanced machine learning solutions.Our innovative technology demands skilled engineers who are enthusiastic about problem-solving and ownership of the solutions they implement. This is an exciting opportunity to be part of a rapidly expanding company in its early stages, allowing you to craft your own success story.Your TeamOur Data Engineering team accelerates value creation for stakeholders by delivering production-ready solutions and actionable insights. We enhance every aspect of blueoptima’s data, driving success through data-driven innovation.You will collaborate closely with a diverse team of experts in Data Analytics, Machine Learning, Computer Vision, Artificial Intelligence, and Geospatial Analytics. The engineering team is primarily located in our Gurgaon office.Key ResponsibilitiesUtilizing your statistics and ML expertise to address real-world challenges with our collision risk analytics platform.Spotting new opportunities to automate processes and derive insights from diverse data sources.Keeping abreast of cutting-edge numerical and computer vision methodologies in the ML field.Implementing models on AWS infrastructure.Taking ownership of projects from prototype to automation, deployment, and maintenance.Establishing monitoring and data quality automation for production solutions.Mentoring team members in best practices for solution ownership and development.Effectively communicating complex ideas to client-facing teams and non-technical stakeholders.Designing and maintaining optimized, robust, and scalable systems.Identifying project requirements and critical paths to resolve challenges, along with providing clear timeline estimates.Employing data-driven strategies to validate assumptions and track progress on implemented changes.

At d-Matrix, we are dedicated to unlocking the potential of generative AI to transform the technological landscape. As pioneers in both software and hardware innovation, we continuously push the boundaries of what is achievable. Our organizational culture emphasizes respect and collaboration.We appreciate humility and advocate for transparent communication. Our inclusive team values diverse perspectives, which contribute to superior solutions. We invite individuals who are passionate about overcoming challenges and driven by results to join us. Are you ready to explore your playground? Together, we can shape the limitless possibilities of AI.Location: Hybrid, requiring on-site work at our Bangalore headquarters 3 days a week.Key Responsibilities:As a Senior Software Machine Learning Test Engineer, you will be an integral part of the team working to productize the software stack for the d-Matrix AI compute engine. Within the Software QA team, you will develop test automation for d-Matrix components and products, while also maintaining and enhancing the test infrastructure for next-generation AI hardware. Your expertise will enable you to build and scale the testing framework to deliver high-quality software stacks and hardware products. You will utilize the d-Matrix GitLab CI/CD infrastructure and the Pytest framework to ensure comprehensive component and end-to-end qualification. Your role will involve developing accuracy benchmarks and robustness tests for large language models using your developed automation. Collaboration with global ML core kernel teams, compiler teams, runtime teams, hardware architecture specialists, and machine learning model researchers will be essential during the qualification process, and you may have the opportunity to contribute to new ML/AI technologies.

Netradyne leverages cutting-edge Computer Vision and Edge Computing to transform the transportation landscape. As a pioneering entity in fleet safety solutions, we have experienced an extraordinary growth rate of over 400% annually. Our innovative approach is rapidly establishing our technology as a disruptive force within the industry. To sustain our trajectory, we are actively seeking visionary and competitive individuals to join our expanding team.Key Responsibilities:In the role of Staff Software Machine Learning Engineer specializing in System Optimization, you will be responsible for designing and refining processes to guarantee the efficient and high-performance functionality of our proprietary driver monitoring and assistance technology. Your key responsibilities will include:Developing and enhancing tools, frameworks, and reporting systems for system optimization.Optimizing software for deployment across IoT devices, including implementation on GPU/CPU/DSP platforms.Advancing data platforms and fine-tuning machine learning models utilized on our platforms.Refining driver monitoring and assistance algorithms to enhance system efficiency and track crucial performance indicators (KPIs).Handling production inquiries and ensuring the stability of applications in live environments.Effectively communicating complex technical findings to a diverse audience.

About Glean:Founded in 2019, Glean is an innovative AI-driven knowledge management platform that empowers organizations to swiftly discover, organize, and share information across teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean enables employees to access the right knowledge at the right time, enhancing productivity and collaboration. Our state-of-the-art AI technology simplifies knowledge discovery, making it quicker and more efficient for teams to leverage their collective intelligence.Glean was established by Founder & CEO Arvind Jain, who deeply recognized the challenges employees face in finding and comprehending information at work. Witnessing firsthand how fragmented knowledge and an array of SaaS tools hinder productivity, he sought to create a better solution—an AI-powered enterprise search platform that allows users to quickly and intuitively access the information they need. Since then, Glean has evolved into a leading Work AI platform, merging enterprise-grade search, an AI assistant, and robust application- and agent-building capabilities to fundamentally transform how employees work.About the Role:Glean is on the lookout for talented engineers to contribute to the development of the world's premier search and assistant product for professional environments. Our engineers engage with a variety of systems across the stack, including query understanding, document comprehension, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We prioritize regular interactions with customers, striving to thoroughly understand their challenges and employing any necessary tools—simple or complex—to address their needs.Your Responsibilities:Create innovative signals to enhance the personalization of our search engine.Train models to capture interactions between signals in our ranking framework.

Join our dynamic team at HackerRank as a Machine Learning Engineer, where you will harness the power of AI to drive innovation and enhance coding skills across the globe. You will work on cutting-edge projects that challenge your technical expertise while collaborating with talented professionals in a hybrid work environment.

Netradyne’s Bangalore team is hiring a Staff Data Engineer focused on machine learning and data platforms for AI-powered fleet analytics. This senior technical position shapes the systems that power Netradyne’s driver safety and fleet management products, working closely with experts in machine learning, data science, and product development. Role overview This role centers on designing, building, and scaling machine learning pipelines that support advanced analytics and generative AI features. The Staff Data Engineer will also implement real-time data streaming systems for both cloud and edge environments, contributing directly to the infrastructure behind Netradyne’s Physical AI vision. This vision interprets multimodal vehicle data to understand the interplay between drivers, vehicles, and their surroundings. What you will do Design and scale robust machine learning pipelines for large-scale fleet analytics Develop generative AI features that enhance Netradyne’s analytics capabilities Build and maintain real-time data streaming systems across cloud and edge platforms Work closely with machine learning engineers, data scientists, and product teams to integrate new AI-driven features Advance on-device edge intelligence and natural language-driven functionalities within the platform Shape the data infrastructure to better understand interactions between drivers, vehicles, and environments Location This position is based in Bangalore.

Join parspec as an AI Operations Engineer and become a key player in our innovative technology team. In this hybrid role based in Bangalore, India, you will leverage your expertise in AI operations to enhance our processes and deliver cutting-edge solutions. Your contributions will be vital in ensuring the seamless integration of AI technologies into our systems.