Senior Machine Learning Compiler Engineer - Compute

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.

At HackerRank, we empower leading companies like NVIDIA, Amazon, and Microsoft to discover and develop the next generation of software developers based on their skills rather than their backgrounds. Our platform is trusted by over 2,500 of the world's most innovative organizations, helping them build robust engineering teams prepared for the challenges ahead.As software development evolves, merging human ingenuity with artificial intelligence, the landscape of technical talent is transforming. We provide companies with innovative ways to recognize and nurture next-generation skills.The team at HackerRank is driven by a passion for the impact of their work and meticulous attention to detail, ensuring our customers enjoy products they genuinely love. We operate with a sense of urgency, believing that exceptional outcomes stem from high standards.About the RoleAs the Engineering Manager at HackerRank, you will spearhead the technical vision and execution for the HackerRank Developer Community product, which serves over 26 million developers worldwide. This critical position involves creating an engaging, scalable platform that fosters developers' growth in their technical skills.You will collaborate closely with Product, Design, and other Engineering teams to seamlessly integrate community features into the HackerRank ecosystem. Your leadership will guide the team’s roadmap, mentor engineers, and cultivate a high-performing environment that prioritizes delivering delightful, impactful user experiences at scale.What You’ll DoLead the technical vision for HackerRank’s platform.Design systems capable of scaling to support hundreds of thousands of concurrent users.Implement product strategies and oversee delivery commitments for user-facing features.Guide engineers in producing high-quality, maintainable solutions.Establish clear career progression paths for team members and foster their professional development.Collaborate intimately with Product, Engineering, and Design teams to curate the community product roadmap.Who You AreAn engineering leader with over 8 years of experience in designing enterprise systems, focusing on high availability, scalability, fault tolerance, security, and distributed systems.A minimum of 2 years in engineering management, including hands-on technical leadership.Proven expertise in recruiting and managing technical teams, with a strong focus on performance management.Self-motivated with excellent communication skills, capable of hiring, leading, and mentoring technical teams while meeting deadlines and managing stakeholder expectations.

At HackerRank, we empower companies such as NVIDIA, Amazon, and Microsoft to recruit and enhance the skills of the next generation of developers, focusing on capabilities rather than background. Our platform is the trusted choice of over 2,500 of the most innovative organizations worldwide, helping them to construct high-performing engineering teams that are prepared for future challenges.In an era where software development is increasingly collaborative between humans and AI, the definition of technical talent is evolving. We provide companies with advanced methods to recognize and nurture the skills of tomorrow.Our team at HackerRank is passionate about the impact of our contributions and meticulously attends to the finer details, ensuring our customers enjoy products that they are excited to use. We prioritize urgency and believe that exceptional results stem from maintaining high standards.About the RoleThe Integrity team plays a vital role in maintaining trust in HackerRank’s assessments, ensuring our clients can depend on results without concerns regarding misuse or integrity issues. As the use of LLMs and similar tools increases, the necessity for robust and scalable integrity solutions is paramount.As a Senior Frontend Engineer, you will be instrumental in designing and developing the platform that facilitates trustworthy assessments for millions of developers globally. You will create solutions that not only identify and prevent misuse but also provide a seamless, top-tier developer experience. These systems must be capable of scaling to accommodate over 100,000 concurrent users while balancing performance, reliability, and usability. Your contributions will directly influence how candidates, recruiters, and hiring managers interact with HackerRank.

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 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.

HackerRank partners with organizations such as NVIDIA, Amazon, and Microsoft to help them find and develop skilled developers. The platform supports over 2,500 companies in building strong engineering teams, emphasizing practical ability over academic credentials. As technology changes, HackerRank offers tools to identify and nurture technical talent, combining human judgment with AI-driven insights. Role overview The Staff Accountant oversees the full cycle of Accounts Payable operations. Responsibilities include preparing and processing vendor payments, keeping accurate records for invoices and payments, and ensuring all actions meet compliance standards. The role also involves managing tax documentation, handling virtual card transactions, processing reimbursements through Expensify, and maintaining records for prepaid accounts and fixed assets. Location This position follows a hybrid schedule in Bangalore, India.

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.

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 Team at ParspecFounded in 2021, Parspec is transforming the material procurement landscape for the $13 trillion USD construction sector by digitizing and organizing product data. Our proprietary AI technology offers a comprehensive and up-to-date catalog of millions of products, allowing our clients to effortlessly identify the best products that suit their needs. Trusted by leading designers, builders, distributors, and sales agents, and supported by top venture investors, Parspec is paving the way for a more innovative, connected, and sustainable future in construction.Become a part of our mission to develop groundbreaking technology that reshapes one of the world’s oldest and largest industries.The RoleWe are on the lookout for a skilled and enthusiastic Machine Learning Engineer to become a vital member of our AI team. In this role, you will be instrumental in designing, developing, and deploying state-of-the-art machine learning models, including solutions based on Natural Language Processing (NLP) and Large Language Models (LLMs). You will tackle complex data science challenges while collaborating closely with product, engineering, and business teams to deliver impactful AI-driven features.This is a unique chance to be at the forefront of innovation, utilizing advanced AI technologies to disrupt an industry ready for digital transformation.Key ResponsibilitiesAI System DevelopmentCreate and develop Computer Vision, NLP, and Recommendation Systems tailored for our applications.Conduct research and implement innovative deep learning architectures to address challenging data science problems.Develop, train, and deploy scalable and extensible deep learning and machine learning models.Full Product Lifecycle EngagementWork alongside product managers, UX designers, and end-users to seamlessly integrate software and AI components into fully functional systems.Engage in the complete product lifecycle—from conceptual design to development, integration, testing, and deployment.Building Scalable SolutionsDevelop products capable of efficiently handling large volumes of data while ensuring high scalability for new client onboarding.Design comprehensive end-to-end data and ML pipelines for smooth integration into production environments.

HackerRank seeks a Lead Frontend Engineer to join the team in a hybrid role based in Bangalore, India. This position takes ownership of web application and user interface development, with a strong emphasis on performance and usability. Key responsibilities Guide frontend engineering for web products and new feature development Collaborate with teams across disciplines to define, design, and deliver functionality Review code to uphold quality and performance standards throughout platforms Work location This role follows a hybrid schedule in Bangalore.

At HackerRank, we empower innovative companies such as NVIDIA, Amazon, and Microsoft to hire and enhance the skills of the next generation of developers based on their abilities rather than their backgrounds. Our platform is trusted by over 2,500 forward-thinking organizations worldwide to foster strong engineering teams prepared for future challenges.In an era where humans and AI collaborate seamlessly, the definition of exceptional technical talent is evolving. We provide companies with superior methods to identify and nurture next-generation skills.Our team at HackerRank is passionate about the impact of our work, paying attention to the smallest details to ensure our customers achieve remarkable success with products they genuinely love. We operate with a sense of urgency and believe that excellence is achieved through high standards.About the Role:As the Engineering Manager - Data, you will lead and develop our Data Engineering team while establishing the technical vision for our data platform. You will be responsible for building scalable and reliable systems that drive analytics, experimentation, AI models, and executive decision-making across the organization.This critical leadership position combines platform architecture, data strategy, and team development.What You Will Do:Own and direct the technical roadmap for the Data Engineering team, ensuring quarterly planning and delivery.Implement product plans and manage delivery commitments with a strong emphasis on quality and timelines.Architect and construct scalable backend systems, data pipelines, and infrastructure components in line with 12-factor app principles.Design and execute robust data warehouses and strategies for SaaS products.Define clear quarterly objectives for the team and guide efforts to achieve measurable results.Mentor engineers and assist them in delivering their best work.Establish clear career paths for team members and support their professional development.Lead technical discussions and assist engineers in making crucial architectural and design choices.Collaborate closely with the Product team to develop and refine the data and platform roadmap.

At HackerRank, we empower organizations like NVIDIA, Amazon, and Microsoft to recruit and enhance the skills of the next wave of developers, emphasizing abilities over traditional qualifications. Our platform is trusted by over 2,500 of the world's most pioneering companies, fostering robust engineering teams prepared for future challenges.In today's landscape, software development is a collaborative effort between humans and AI. As this evolution accelerates, the definition of exceptional technical talent is evolving. We provide innovative methods to help companies recognize and nurture next-generation skills.At HackerRank, we are passionate about the impact of our work, meticulously refining every detail to ensure our customers achieve remarkable success with products they truly appreciate. Our urgency and commitment to high standards drive us to deliver exceptional outcomes.About the RoleThis senior individual contributor role is designed for a backend expert adept at toggling between two core functions: (1) architecting platforms that serve multiple product teams, and (2) collaborating with teams to tackle complex, high-stakes technical challenges. You will be instrumental in integrating AI-native capabilities into our platform, including LLM orchestration, evaluation, cost management, and latency controls, while enhancing reliability, performance, and developer experience across our services.Your role will involve collaboration across various product groups, articulating clear technical strategies, and serving as a trusted resource for your colleagues in terms of judgment, taste, and depth.What You Will DoAlign engineering initiatives with business objectives. Transform company goals and customer requirements into a concrete technical roadmap. Communicate trade-offs and decisions in straightforward language.Design and refine core platforms for APIs, data, and AI that are scalable, observable, secure, and cost-conscious (supporting thousands of concurrent assistant sessions and managing bursty traffic).Integrate AI as a fundamental consideration: managing request orchestration, evaluation frameworks, safety protocols, and data governance.Collaborate to drive impact: Partner with product managers and customer-facing teams to achieve tangible results.Mentor and elevate the engineering bar through code reviews, design evaluations, and hands-on collaboration; be a role model for others.Who You AreA backend/platform engineer with over 8 years of experience in developing and managing production-grade services with a strong sense of ownership over outcomes.Proficient in system design and distributed systems, with hands-on expertise across cloud platforms (AWS/GCP), containers & Kubernetes, Infrastructure as Code (Terraform), and CI/CD automation.Deep knowledge in one or more programming languages such as Go, Java, Ruby, Python, or JavaScript.

At HackerRank, we empower companies like NVIDIA, Amazon, and Microsoft to discover and develop the skills of the next generation of developers, focusing on capabilities rather than backgrounds. Our platform is trusted by over 2,500 of the world's leading companies to create robust engineering teams prepared for future challenges.As the landscape of software development evolves, with humans and AI collaborating more closely, the criteria for exceptional technical talent are shifting. We provide innovative solutions for companies to identify and invest in future-ready skills.Our team is passionate about the impact of our work, paying close attention to every detail to ensure our customers achieve outstanding success with products they genuinely appreciate. We act with urgency and hold ourselves to high standards, believing these lead to great outcomes.About the RoleMillions of developers utilize HackerRank daily to validate their skills. We are seeking a Senior Backend Software Development Engineer who will guide the technical direction of essential backend systems and spearhead the delivery of impactful, platform-wide initiatives. You will be responsible for the architecture and advancement of core backend services, mentoring engineers across teams, and making key technical decisions to ensure our platform is fast, reliable, and scalable as we expand our global user base.Your ResponsibilitiesArchitect, design, and drive the implementation of complex backend systems and services that support core product experiences at scale.Define and implement technical strategies for your domain, making pivotal decisions on system design, technology selection, and long-term architectural trajectories.Oversee the end-to-end reliability and performance of critical backend services, establishing SLOs and best practices for monitoring and incident response.Design scalable API frameworks and data models that serve as the backbone for multiple product teams and external integrations.Lead cross-functional technical initiatives across various teams, collaborating with frontend, infrastructure, product, and design stakeholders.Identify and drive large-scale refactoring projects, addressing technical debt and transforming legacy systems into modern, maintainable architectures.Mentorship of engineers on the team through design and code reviews, offering hands-on technical guidance.Contribute to company-wide engineering standards, tools, and processes that enhance code quality and developer productivity.Your ProfileSenior backend engineer with 3-6 years of experience building and maintaining production backend systems at scale.Proficient in at least one major programming language and familiar with database management, API design, and cloud services.

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.

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.

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.

At HackerRank, we empower organizations like NVIDIA, Amazon, and Microsoft to identify and cultivate the next generation of software developers based on their abilities rather than their backgrounds. Our platform is trusted by over 2,500 of the world’s leading companies to build robust engineering teams prepared for the future.In a world where humans and AI collaborate seamlessly, the criteria for strong technical talent are evolving. We provide businesses with innovative methods to recognize and invest in future-ready skills.Our team at HackerRank is dedicated to the influence of our work and pays meticulous attention to detail, ensuring that our clients experience success with products they truly enjoy. We operate with urgency and believe that exceptional results stem from high standards.About the RoleAs a Technical Support Engineer, you will take ownership of customer-impacting technical issues from initial report to resolution and prevention. You will act as the primary technical authority for escalations, coordinating prioritization with engineering and product teams. Your contributions will enhance reliability and user-friendliness across the HackerRank platform.Key ResponsibilitiesTroubleshoot and resolve issues across the HackerRank platform, including high-severity, business-critical customer incidents that require swift diagnosis and coordinated responses involving web applications, APIs, ATS integrations, and developer tools.Engage in root-cause analysis with engineering, escalate as necessary, and advocate for timely resolutions to customer-impacting issues.Assist customers with SSO (SAML/OIDC) and SCIM integration setups involving Okta and other identity providers.Serve as the primary technical partner for customers, guiding them towards the most secure and effective technical solutions rather than just the immediate fixes.Contribute to post-incident reviews, documentation, and tooling enhancements to mitigate future issues.

At HackerRank, we empower companies such as NVIDIA, Amazon, and Microsoft to recruit and develop the next generation of developers based on their skills rather than their background. Trusted by over 2,500 of the world's most innovative organizations, our platform is dedicated to building robust engineering teams prepared for future challenges.In an evolving landscape where humans and AI collaborate seamlessly, the standards for exceptional technical talent are transforming. HackerRank provides organizations with enhanced methods to assess and invest in next-generation skills.Our team is deeply committed to the impact of their contributions, paying meticulous attention to details to ensure our customers achieve extraordinary success with products they genuinely enjoy. We operate with a sense of urgency, believing that outstanding outcomes stem from maintaining high standards.About the RoleAs a Software Development Engineer in Test (SDET), you will be instrumental in defining and executing our automation-first quality strategy across web, API, and AI-driven systems.You will collaborate closely with Engineering and Product teams to embed quality into every feature, enforce it through robust automation, and safeguard it with stringent release gates. This position is both hands-on and technically deep, offering you significant ownership and influence.ResponsibilitiesDesign, develop, and sustain scalable automation frameworks utilizing Playwright and SerenityJS.Enhance and scale existing automation frameworks.Create and manage REST API automation using Postman or similar tools.Integrate and uphold automated test execution within CI/CD pipelines (e.g., Jenkins, GitHub Actions).Analyze test failures, perform root cause investigations, and collaborate with engineering teams to resolve issues.Ensure automated test coverage aligns with defined acceptance criteria and release specifications.Participate in automation code reviews to uphold consistency, readability, and maintainability.Assist in executing regression, integration, and end-to-end test suites across various environments.Engage in story refinement and design discussions to pinpoint test scenarios, risks, and edge cases.Contribute to automation reporting, metrics, and continuous quality enhancements.Work together with cross-functional teams to advocate for quality best practices.Your ProfileAt least 2 years of experience in QA Automation / SDET roles.Proficient hands-on experience with contemporary automation frameworks (preferably Playwright).

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.