Lead Principal Software Developer II - Performance Team (Elasticsearch)

Join Elastic as a Principal Software Engineer II specializing in Machine Learning and Elasticsearch, where you'll lead advanced projects and innovate solutions for our clients. You will work with a talented team of engineers and contribute to the development of state-of-the-art applications that leverage machine learning algorithms and Elasticsearch capabilities. This is an opportunity to shape the future of search technology and make a significant impact within our organization.

At Elastic, the leading Search AI Company, we empower individuals and organizations to uncover real-time insights from their data at scale. Our Elastic Search AI Platform is trusted by over 50% of the Fortune 500, seamlessly merging advanced search capabilities with AI-driven intelligence to enhance business outcomes. By leveraging both structured and unstructured data, Elastic’s comprehensive, cloud-based solutions in search, security, and observability enable organizations to harness the full potential of AI.What You Will Be DoingWe are on the lookout for a Principal Software Developer I or II to become a key member of our Elasticsearch - Storage Engine team. This fully remote, globally-distributed team of seasoned engineers is at the forefront of delivering cutting-edge innovations in logs and metrics management. You will provide technical vision and leadership to develop solutions that optimize storage and enhance data querying and indexing capabilities. Your experience in related technical fields, combined with your ability to collaborate across departments, is essential.Our team culture is built on intentional distribution. We prioritize hiring exceptional developers from diverse backgrounds, wherever they are located. Through daily collaboration via email, GitHub, Zoom, and Slack, we strive to create fast, scalable, and user-friendly software. We believe in empowering our engineers, conducting thorough code reviews, reaching consensus on major decisions, and continuously striving for incremental improvements.

Narvar is expanding and seeking a talented Senior Software Engineer II to innovate and enhance our platform. At Narvar, data is integral to our success, enabling you to make a significant impact on our organization, partners, and end users. As a Machine Learning Engineer at Narvar, you will engage in full-stack development, crafting production-level code and managing machine learning operations for diverse teams. Key Responsibilities Design and implement machine learning algorithms applicable to e-commerce, consumer behavior, market analysis, logistics, and innovative product development. Analyze real-world consumer data utilizing natural language processing, image classification, time series analysis, outlier detection, and user modeling. Handle large volumes of unstructured data effectively. Bridge the disciplines of mathematics, machine learning, business, and computer science to influence millions of users with your contributions. Enhance the capabilities of the data science team by developing frameworks, tools, and methodologies that are leveraged by the entire team. Provide strategic guidance to the team through high-quality documentation, code reviews, and a strong vision that reflects both practical experience and broader industry insights.

About Affirm Affirm is working to reshape the credit industry by making payments more transparent and consumer-friendly. The company’s mission centers on helping people buy now and pay later, without hidden fees or compounding interest. Team Overview: Machine Learning Feature Platform The Machine Learning (ML) Feature Platform is a core part of Affirm’s ML Platform group. This team partners closely with the ML Training & Serving Platform to build a unified ecosystem for machine learning and data that supports key business goals. Role Focus The ML Feature Platform team builds and maintains a self-service platform that streamlines the development and deployment of data features used in machine learning and decision-making at Affirm. The platform is central to Affirm’s ML and online decisioning, and its reliability and speed are critical for meeting availability and latency standards. Key Responsibilities Design, build, and support tools for feature creation, exploration, and deployment Manage data storage, access, and visibility to ensure data is available and discoverable Develop and maintain infrastructure for offline backfilling and ongoing platform improvements Work on this team shapes the daily experience of Machine Learning Engineers, analysts, and decision-making groups across Affirm. Platform enhancements can drive broad improvements throughout the organization. Who We’re Looking For Affirm is searching for engineers who are motivated to advance machine learning capabilities and recognize how platform work can deliver wide-reaching positive effects. Curiosity about data platforms and a drive to make ML easier and more effective for others are valued on this team. Location This role is fully remote within Canada.

At Elastic, we are redefining the way organizations harness the power of search and AI. As a leading Search AI Company, we empower individuals and businesses to unlock the full potential of their data in real-time, at scale. Our Elastic Search AI Platform, utilized by over 50% of the Fortune 500, merges the precision of search technology with the intelligence of AI, enabling users to achieve impactful results efficiently. Our comprehensive, cloud-based solutions for search, security, and observability ensure that organizations can fully realize the promise of AI while safeguarding their critical data.Role Overview:We are seeking a talented and experienced Principal Software Developer II to join our esteemed Elasticsearch - Distributed Systems team. This role focuses on optimizing Elasticsearch for scale, performance, and resilience. You will play a critical role in managing node communication within the Elasticsearch cluster and overseeing data indexing, allocation, and replication across nodes.

Role overview Aerovect is looking for a Machine Learning Operations Software Engineer to join the team in Toronto. The position centers on building and deploying machine learning models that support the company’s products. The main focus is on refining workflows, maintaining model reliability, and contributing to the team’s results. What you will do Develop and maintain systems that handle the deployment of machine learning models Collaborate with engineers and data scientists to improve and streamline machine learning processes Help ensure the performance and reliability of Aerovect’s product offerings Location This role is based in Toronto.

LOCATION: This position can be based anywhere in Canada, with a preference for candidates situated in the eastern or central time zones to facilitate collaboration with our teams in the US, Europe, and India.ABOUT THE ROLEWiser Solutions is on the lookout for a Principal Machine Learning Engineer to lead and implement our AI and data science strategy. This senior technical leadership position requires an individual with profound expertise in machine learning, data science, and production engineering, complemented by the business insight needed to translate complex capabilities into customer value.As the technical authority for AI at Wiser, you will set architectural direction, communicate our capabilities to customers and partners, and deliver production systems that yield measurable business outcomes. This role demands proficiency in both strategic planning and hands-on implementation, allowing you to present to executives while also debugging production pipelines in the same week.We are cultivating an AI-native engineering culture at Wiser, where AI tools and techniques are integral to our workflows, not just the products we develop. We need a Principal AI Engineer who not only delivers AI products but also exemplifies AI-enhanced work methodologies and aids the broader engineering team in their adoption. If you are passionate about the transformative potential of AI in software development and implement that transformation in your daily activities, we want to hear from you.What You Will DoStrategic LeadershipDefine and enhance Wiser's AI and data science technical strategy in collaboration with product and business leadership.Articulate Wiser's AI capabilities to customers, partners, and advisors—clarifying our approach, roadmap, and unique offerings.Identify high-impact opportunities where AI can solve customer challenges or provide a competitive edge.Develop technical standards, patterns, and best practices that shape engineering decisions across the organization.Technical ExecutionArchitect and build production AI systems, including LLM applications, RAG pipelines, semantic search, and traditional ML models.Create rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions yield reliable, measurable results.Integrate classical data science methods (statistical modeling, experimentation design, feature engineering) with modern generative AI approaches.Oversee technical quality for AI systems across the board: from data pipelines to model deployment and production observability.Cross-Functional ImpactCollaborate with product management to convert business requirements into technical solutions and validate these solutions against customer needs.Mentor and elevate the AI/data science team (3-5 engineers), enhancing the technical capabilities of the team.

LOCATION: This position can be based anywhere in Canada, with a preference for candidates in the Eastern or Central time zones who can collaborate effectively with our teams across the US, Europe, and India.ABOUT THE ROLEWiser Solutions is on the lookout for a dynamic Principal Machine Learning Engineer to lead and execute our AI and data science strategies. This senior-level technical leadership role demands an individual with profound knowledge in machine learning, data science, and production engineering paired with the business insight required to turn complex capabilities into tangible customer value.As the technical authority for AI at Wiser, you will guide architectural direction, represent our capabilities to clients and partners, and oversee the delivery of production systems that yield measurable business benefits. This role necessitates the ability to seamlessly transition from strategic planning to hands-on implementation, capable of presenting to executives while also troubleshooting production pipelines within the same week.At Wiser, we are cultivating an AI-native engineering culture where AI tools and techniques are integrated into our daily operations, not just the products we create. We seek a Principal AI Engineer who not only delivers AI solutions but also exemplifies AI-enhanced methodologies, supporting the broader engineering team in their adoption. If you believe in the transformative power of AI in software development and embody that transformation in your work, we want to hear from you.What You Will DoStrategic LeadershipDefine and evolve Wiser's AI and data science technical strategy in collaboration with product and business leadership.Articulate Wiser's AI capabilities to customers, partners, and advisors, outlining our approach, roadmap, and unique selling points.Identify significant opportunities where AI can address customer challenges or provide a competitive edge.Establish technical standards and best practices that guide engineering decisions across the organization.Technical ExecutionArchitect and develop production AI systems, including LLM applications, RAG pipelines, semantic search, and traditional machine learning models.Create robust evaluation frameworks, experimentation methodologies, and monitoring systems to ensure AI solutions deliver reliable and measurable outcomes.Integrate classical data science techniques (statistical modeling, experimentation design, feature engineering) with contemporary generative AI methodologies.Oversee the technical quality of AI systems from data pipelines through to model deployment and production observability.Cross-Functional ImpactCollaborate with product management to translate business requirements into technical solutions, validating them against customer needs.Mentor and uplift the AI/data science team (3-5 engineers), raising the technical standards across the board.

Join our cutting-edge team at Afresh Technologies as a Staff Software Engineer specializing in Machine Learning Platforms. In this fully remote position, you will play a pivotal role in designing, building, and optimizing our ML infrastructure to support innovative solutions that redefine the food supply chain. Your expertise will help us harness the power of machine learning to drive efficiency and sustainability in food distribution.

Join elastic as a Principal Software Engineer specializing in Search Relevance, focused on Elasticsearch. In this pivotal role, you will lead the development and enhancement of search algorithms and relevance tuning mechanisms to improve user experience across our product offerings. You will collaborate with a team of talented engineers and product managers to design innovative solutions that leverage the power of Elasticsearch.Key Responsibilities:Develop and implement advanced search algorithms.Optimize and enhance search relevance features within the Elasticsearch stack.Collaborate with cross-functional teams to integrate search functionalities into various applications.Conduct performance analysis and optimize search efficiency.Mentor junior engineers and contribute to a culture of excellence.

At Elastic, we empower individuals and organizations to uncover the insights they seek in real time, leveraging their data at scale. As the Search AI Company, we connect the precision of search with the intelligence of AI, enabling businesses to unlock their full potential. Our Elastic Search AI Platform is trusted by over half of the Fortune 500, delivering robust, cloud-based solutions for search, security, and observability that ensure data protection while maximizing AI capabilities.Role Overview:We are seeking a talented Principal Software Developer I to join our dedicated Elasticsearch - Distributed Systems team. You will play a pivotal role in enhancing Elasticsearch's scalability, performance, and resilience. This team is responsible for optimizing node communication within Elasticsearch clusters, as well as managing data indexing, allocation, and replication across nodes.

Join Afresh Technologies as a Senior Software Engineer and play a critical role in enhancing our Machine Learning Platform. This is an exciting opportunity to work on cutting-edge technology in a fully remote environment. You will collaborate with data scientists and engineers to build scalable machine learning solutions that drive innovation and improve efficiency in food supply chains.

Join Thinkific, a leading learning commerce platform, dedicated to transforming knowledge into impactful learning experiences. We integrate community, courses, and content with commerce to empower businesses to grow their revenue and reach millions of learners globally.With a dynamic team of over 300 Thinkers, we are committed to enhancing online learning, supporting educational enterprises, and making a tangible difference in the world. You will collaborate with passionate and innovative teammates who are dedicated to their craft and the audiences they serve.We prioritize a fair, inclusive, and human-centered hiring process. Our team is here to support you throughout your application journey, ensuring you are well-informed at every stage!We are seeking a Principal Software Engineer to elevate our engineering team at Thinkific. In this role, you will be a catalyst for excellence, promoting best practices and mentoring fellow engineers to enhance their skill sets. You will serve as a vital link between technical execution and business strategy, shaping the long-term technical roadmaps of our systems and architecture. You will articulate the technical features of our products, align ongoing work across multiple products with business objectives, and inspire your colleagues toward shared goals.Your key responsibilities will include:Leading a strategic technical area within R&D, ensuring that technical choices drive business success and impact.Owning the overall architecture and collaborating on task prioritization, implementation details, technology stack decisions, and system health across your domains, in alignment with the overarching technical strategy set by the Lead Architect.Partnering with engineering leaders and the Lead Architect to develop a roadmap and break tasks into manageable pieces for engineering teams.Guiding senior engineers in developing and maintaining systems and features within your oversight, ensuring alignment with the vision you have established.Collaborating with the Director of Engineering to stay informed about future business strategies and jointly manage domain ownership from both technical and strategic perspectives.Writing and reviewing technical documentation related to your business and technical domains while mentoring other engineers in the documentation process.

At d-Matrix, we are pioneering the potential of generative AI to transform the technology landscape. Positioned at the cutting edge of both software and hardware innovation, we continuously strive to expand the horizons of what can be achieved in this dynamic field. Our workplace culture is built on the principles of respect and collaboration.We emphasize the importance of humility and open communication. Our inclusive team thrives on diverse perspectives, which lead to innovative solutions. We are on the lookout for motivated individuals who are passionate about overcoming challenges and are driven by tangible outcomes. Are you ready to explore your playground? Together, we can unlock the infinite possibilities of AI.Job Title: Software Engineering Intern - KernelsLocation: Toronto, CanadaProgram Duration: 12 weeks: June 1st - August 21st or June 22nd - September 11thProject Overview:As a Software Engineering Intern on our Kernels team, you will have a significant impact on the development of high-performance kernels that are crucial for accelerating machine learning models. Your role will encompass creating reference implementations for accuracy verification, defining unit tests for the implemented operators, optimizing performance, conducting scalability analysis across varying problem sizes, and packaging and shipping the final implementations. You will also gather performance metrics and identify bottlenecks to enhance core functionality.What You Will Do:Implement high-performance kernels using low-level languages (Assembly/ISA experience is a plus).Develop, test, and optimize kernels for machine learning models and performance.Automate the creation of reference implementations and unit tests.Analyze scalability and performance, collect metrics, and troubleshoot bottlenecks.Package and share implementations with partner teams.

Join the Elastic team as a Senior Software Engineer focused on enhancing search relevance using Elasticsearch. In this pivotal role, you will leverage your expertise in software engineering to improve the performance and relevance of search functionalities within our products. You will collaborate with cross-functional teams to develop innovative solutions that optimize user experience and drive customer satisfaction.

We are looking for an experienced Principal Java Developer II to join our talented team at Elastic. In this role, you will play a pivotal part in enhancing our security features and working with Elasticsearch. You will leverage your extensive knowledge of Java to develop robust solutions that ensure the safety and efficiency of our applications. This position offers an exciting opportunity to lead innovative projects and collaborate with a diverse group of professionals.

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change

Join Elastic, the leading Search AI Company, as a Senior Software Developer. You will play a pivotal role in enhancing our storage efficiency for metrics and logs while optimizing our ES|QL solution for querying diverse data types. Collaborate with a globally distributed team to innovate current logging solutions, expand our metrics processing capabilities, and refine storage efficiency across our systems. Your expertise will be crucial in developing advanced algorithms and data structures, ensuring seamless operation and scalability of our storage engine. Embrace a culture of empowerment and collaboration where your contributions directly impact our mission to deliver high-quality software.

c-serv is forming an AI Red Team to improve the security of enterprise AI products. As an Adversarial Machine Learning Engineer, the focus will be on identifying vulnerabilities in large language model (LLM) systems and testing their defenses before they reach enterprise clients. This hands-on position addresses practical security challenges in real-world AI deployments. Main responsibilities Perform adversarial assessments targeting LLMs and other AI systems Simulate real-world attack scenarios, including: Prompt injection Jailbreaking and bypassing model guardrails Data exfiltration Model inversion and evasion Manipulation of retrieval-augmented generation (RAG) pipelines Develop scripts and tools to automate attack scenarios Evaluate model behavior and performance under adversarial conditions Identify weaknesses in technical components, such as: APIs Embedding pipelines Vector databases Fine-tuned model deployments Collaborate with engineering teams to verify fixes and improvements Document findings clearly and thoroughly Location This position is based in Calgary, Alberta, Canada. Impact The work in this role directly supports the reliability and security of AI systems before they are deployed at scale for enterprise use.