Lead Machine Learning Engineer

About Cognite Cognite builds AI and data solutions for industrial digitalization. The company draws on its industrial background to deliver tools that help organizations address complex challenges. With offerings such as low-code AI agents, Cognite supports digital transformation and operational improvement across sectors. The team values persistence and growth through challenge. Those who see obstacles as opportunities tend to thrive here. Cognite’s goal is ambitious: unlock $100 billion in customer value by 2035 and help reshape the global industrial landscape. Learn more about this vision in their newsroom.

About Cognite Cognite builds AI and data solutions for industrial digitalization. The team focuses on solving complex, high-impact problems using a strong mix of industrial expertise and AI tools, including low-code AI agents. These solutions help organizations move faster and operate more efficiently. The culture at Cognite values questioning assumptions, moving quickly, and taking ownership. People who see challenges as opportunities tend to succeed here. Cognite’s long-term goal is ambitious: to unlock $100 billion in customer value by 2035 and reshape how global industries operate. Learn more about this vision in their Moonshot announcement.

Cognite stands at the cutting edge of industrial digitalization, developing AI and data solutions that tackle some of the globe's most challenging and impactful issues. With a rich industrial legacy and a robust suite of AI capabilities, including low-code AI agents, Cognite propels digital transformation to enhance operational efficiencies.Our ambitious goal is to unlock $100 billion in customer value by 2035 and revolutionize the way global industries operate.

Cognite is at the cutting edge of industrial digitalization, creating innovative AI and data solutions that tackle some of the most challenging and impactful issues globally. With an unparalleled industrial legacy and a robust array of AI tools, including low-code AI agents, Cognite is driving digital transformation to enhance operational efficiency.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally changing the landscape of global industry.

Cognite focuses on industrial digitalization, using advanced AI and data solutions to address complex challenges worldwide. The company’s expertise spans a wide range of AI tools, including low-code AI agents, supporting businesses as they modernize operations and accelerate digital transformation. The team values curiosity, adaptability, and a mindset that sees obstacles as opportunities for growth. People who enjoy questioning the status quo and learning from challenges tend to thrive here. Cognite’s long-term vision is to unlock $100 billion in customer value by 2035. Learn more about this goal and how the company aims to reshape the industrial sector by combining AI, data, and innovation to create a smarter, more connected future.

Cognite stands at the cutting edge of industrial digitalization, developing innovative AI and data solutions that address some of the most challenging and impactful problems globally. With our exceptional industrial background and a robust range of AI capabilities, including low-code AI agents, Cognite is propelling digital transformation to facilitate significant operational enhancements.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally transforming the way industries operate worldwide.

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.

Cognite is a leader in the realm of industrial digitalization, dedicated to creating cutting-edge AI and data solutions designed to tackle some of the most formidable and impactful challenges globally. Drawing on our unparalleled industrial expertise and a robust array of AI capabilities, including low-code AI agents, Cognite is committed to accelerating digital transformation for enhanced operational efficiencies.Our ambitious moonshot aims to unlock $100 billion in customer value by 2035 and revolutionize the way global industries operate.

Join Ema as a Principal Machine Learning EngineerEma is pioneering the future of AI technology, enabling every employee within enterprises to unlock their full creative and productive potential. Our cutting-edge platform allows businesses to assign repetitive tasks to Ema, the Universal AI Employee—a robust, secure, and intelligent collaborator that seamlessly integrates across various workflows and systems.Founded by seasoned professionals from Google, Coinbase, and Okta, and supported by prominent investors and angels, Ema is headquartered in Silicon Valley and Bangalore. We operate as a hybrid team, and we expect our team members to work from the office three days a week.Role Overview & Key ResponsibilitiesThis leadership role is pivotal and encompasses architecture, execution, and organizational development, driving the direction of our AI and ML initiatives at Ema. We are in search of a technical leader in AI and ML who can translate vision into reality. As a Principal ML Engineer, you will be instrumental in shaping the machine learning roadmap, designing large-scale ML systems, fostering innovation, and ensuring the accuracy and performance of our diverse models (including LLM, SLM, and Custom Models) at scale. You will work collaboratively across teams—ranging from research and product to infrastructure and data—while mentoring senior engineers and influencing strategic and executional decisions at the company-wide level.ResponsibilitiesGuide the technical strategy for GenAI and agentic ML systems that support enterprise-grade AI agents, covering reasoning, retrieval, tool utilization, and integration with various SaaS products.Design and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation, ensuring robustness, low latency, and continuous learning.Develop and manage a multi-year ML roadmap for GenAI infrastructure, including agent frameworks, RAG systems, evaluation loops, and integration with MCP, browser, and vision pipelines.Incorporate cutting-edge ML methodologies and research (such as deep learning, large models, recommender systems, and LLMs) into Ema’s products and infrastructure.Experiment with and integrate advanced ML and LLM innovations (e.g., reasoning, memory architectures, multi-modal perception, long-context models, and autonomous agents) into the platform.Balance trade-offs among accuracy, latency, cost, interpretability, and real-world reliability throughout the agent lifecycle, from prompt design to orchestration and execution.

Join Endava as a Senior Machine Learning Engineer and play a pivotal role in developing innovative machine learning solutions that drive our clients' success. In this position, you will leverage your expertise in algorithms, data modeling, and statistical analysis to create predictive models and enhance decision-making processes.You will collaborate with cross-functional teams to implement state-of-the-art machine learning techniques and contribute to the design and architecture of scalable data systems. If you are passionate about machine learning and eager to deliver impactful results, we want to hear from you!

Join our dynamic team at Sumo Logic as a Senior Machine Learning Engineer, where you will play a pivotal role in designing and implementing cutting-edge machine learning models to drive our product innovations. Collaborate with talented professionals in a fast-paced environment and leverage your expertise to solve complex problems and enhance data-driven decision-making across the organization.

IntroductionAbout UsFounded in 2013, Mercari is a leading C2C marketplace based in Japan, driven by our mission to "Create value in a global marketplace where anyone can buy & sell." Since our inception, we have evolved into a prominent global player, achieving remarkable milestones such as being the first Japanese tech unicorn before our IPO in 2018. Our journey continues as we strive to expand our presence and services worldwide.Over the years, the Mercari Group has continually invested in our people and technology, transitioning from Japan's top C2C marketplace to new markets like the U.S. We have also introduced innovative services like Merpay, a mobile payment platform aimed at fostering a society where everyone can achieve their dreams through a comprehensive ecosystem, encompassing payment services and credit facilitation. Today, the Mercari Group encompasses various subsidiary businesses, including logistics, B2C platforms, blockchain, and sports team management.As we aim to enhance our services for a global audience, we recognize the need for top-tier talent. This is the motivation behind launching our India Center of Excellence. Together, we can rise to international challenges and pave the way for Mercari to become a successful global tech enterprise.Our CultureAt Mercari, our organizational culture and each employee's values guide our mission. Our core principles are encapsulated in four key values: Go Bold, All for One, Be a Pro, and Move Fast. Our foundational pillars include Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance. Regardless of our growth, maintaining our culture is vital to our mission. We invite you to explore the Mercari Culture Document, which outlines the behaviors and mindset that define Mercari and its employees. We are committed to fostering an environment where members from diverse backgrounds are embraced and acknowledged, allowing them to flourish while upholding Mercari's culture.Work ResponsibilitiesAs a Machine Learning Engineer specializing in the Recommendation domain, you will be responsible for developing and enhancing the functions and services of the Mercari marketplace app by building and maintaining advanced machine learning systems such as recommender systems, utilizing the necessary infrastructure and collaborative efforts within the company.

Join 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.

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.

P-1408 Join the Applied AI team at Databricks to be a key player in pioneering AI/ML-driven products. Our customers are consistently generating a wealth of assets—such as tables, notebooks, dashboards, datarooms, pipelines, SQL queries, and ML models—on our platform, with some managing hundreds of millions of these assets. Efficiently locating these assets is a critical journey for our users, enabling them to complete their tasks effectively. As our Search product evolves, we are on the lookout for a Staff Engineer to spearhead improvements in our Search Quality. In 2025, our primary goals include enhancing search ranking, refining query understanding, developing robust evaluations, and broadening asset coverage to facilitate seamless search capabilities at scale.

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

Teamwork makes the stream work. Roku is revolutionizing the way the world engages with television.As the leading TV streaming platform in the U.S., Canada, and Mexico, we aim to empower every television globally. Roku has been at the forefront of streaming technology, and our mission is to be the ultimate TV streaming ecosystem. We connect viewers with their favorite content, offer content creators a platform to build and monetize their audiences, and provide advertisers with unique engagement opportunities.From day one at Roku, your contributions will be recognized and valued. We are a rapidly expanding public company where every individual plays a pivotal role. Join us in bringing joy to millions of TV streamers while gaining invaluable experience across various disciplines. About the RoleWe are on the lookout for an exceptional and innovative Machine Learning Platform Engineer to join Roku's Recommendation team. In this position, you will design, construct, and scale robust distributed systems that deliver personalized content recommendations to millions of Roku users. Your focus will be on developing comprehensive machine learning platforms and infrastructure that ensure seamless deployment, monitoring, and optimization of algorithms and operational workflows, providing unique experiences at scale.What You'll Be DoingDesign, develop, and maintain scalable platform services, such as feature stores, real-time inference services, and vector databases, capable of handling millions of transactions per second.Execute and monitor online A/B tests using robust platform services while analyzing platform metrics and business KPIs to enhance recommendation system performance.Collaborate closely with U.S.-based engineering and cross-functional teams to convert business requirements into modular platform components and APIs.Advance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs.Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies.We’re excited if you have5+ years of experience building...

Elevating the quality of human life through every conversationAbout the Team:The Symbl team thrives on innovation and excellence in technology. As a Senior Backend Engineer, you will collaborate with a talented group of professionals committed to developing groundbreaking solutions and advancing the frontiers of technology.About the Role:As a Senior Backend Engineer at Symbl.ai, you will be instrumental in designing and maintaining the core of our systems, including our latest product, Nebula. Your skills in backend engineering and machine learning will drive our technological innovations, ensuring top-notch performance and reliability.Key Responsibilities:Join us in revolutionizing technology with your backend engineering expertise, machine learning knowledge, and innovative approaches. You will:Integrate AI and ML algorithms with backend systems to enhance functionality and deliver smart features.Develop APIs and microservices to enable seamless communication between AI/ML models and application components.Implement data preprocessing and feature engineering pipelines for AI/ML model training.Deploy and oversee AI/ML models in production settings, ensuring reliability, scalability, and optimal performance.Utilize frameworks like TensorFlow, PyTorch, or scikit-learn to create and deploy machine learning models.