Senior Staff Software Engineer - Machine Learning Platform

Join Databricks as a Senior Staff Software Engineer specializing in Search Quality, where you'll play a crucial role in enhancing our search algorithms and improving user experience. Collaborate with cross-functional teams to design, implement, and optimize scalable solutions that drive the efficiency of our search functionalities.

Join our dynamic team at Databricks as a Staff Software Engineer, specializing in Search Quality. In this pivotal role, you'll contribute to enhancing our search functionalities, ensuring users have an exceptional experience when utilizing our platform. You will work closely with cross-functional teams to design, implement, and optimize algorithms that improve search accuracy and relevance.

Join our dynamic team as a Senior Software Engineer - Search at Weblee Technologies in Bengaluru. In this pivotal role, you will be responsible for designing and implementing scalable search solutions that enhance user experience and drive business success. Your expertise in software development will contribute to the continuous improvement of our search algorithms and infrastructure.

Join Weblee Technologies as a Senior Software Engineer - Search and play a crucial role in developing innovative search solutions. You will work with cutting-edge technologies and collaborate with cross-functional teams to enhance search capabilities across our platforms.

The Applied AI team at Databricks is pioneering advancements in AI/ML-powered products. Our customers are actively creating an extensive array of assets—tables, notebooks, dashboards, data rooms, pipelines, SQL queries, ML models, and more—on our platform, with some managing hundreds of millions of assets. The ability to locate these assets is a critical component of the user journey, directly impacting our customers' success.As our Search product evolves, we are on the lookout for a Staff Engineer to spearhead quality improvements in our Search functionalities. In 2026, our focus will be on enhancing search ranking, refining query understanding, developing robust evaluations, and expanding asset coverage to facilitate seamless search experiences at scale.

Teamwork Makes the Stream Work. Join Roku as We Transform TV ViewingRoku is the leading TV streaming platform across the U.S., Canada, and Mexico, with a vision to empower every television globally. We pioneered streaming to TVs and aim to be the essential platform connecting the entire television ecosystem. Our mission is to connect consumers with their favorite content, assist publishers in building and monetizing vast audiences, and offer advertisers unique engagement capabilities.Your journey with Roku will start with you making significant contributions from day one. As a rapidly growing public company, everyone here plays an essential role. You will have the chance to delight millions of TV streamers globally while gaining invaluable experience across various disciplines. About the Role Our Search Platform is central to the Roku experience, enabling voice, text, and visual discovery for over 100M+ active accounts across all Roku-powered devices worldwide. We manage the entire stack—from ingesting and enriching a multi-million-title knowledge graph to providing low-latency retrieval services and extensive machine-learning systems that personalize user experiences in real-time. This role will not only help users discover their favorite shows but will also drive critical product features (home-screen rows, browse hubs, Roku Voice, mobile app search) and support partner monetization. If you thrive on turning cutting-edge research into products used billions of times daily, this is the place for you.With Roku's footprint having quadrupled in the last five years and user expectations soaring, we are reimagining our relevance stack for the next decade. We are integrating advanced technologies such as LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image).

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

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

Join the Applied AI team at Databricks, where we are leading the charge in developing cutting-edge AI/ML-driven products. Our customers generate a vast array of assets like tables, notebooks, dashboards, datarooms, pipelines, SQL queries, and ML models on our platform, often numbering in the hundreds of millions. Navigating through these assets is crucial for our users, enhancing their productivity and effectiveness. As our Search product evolves, we are on the lookout for talented Machine Learning Engineers at various levels—from junior to senior—to enhance our Search Quality. By 2026, our focus will be on elevating search rankings, refining query understanding, establishing robust evaluations, and expanding asset coverage to facilitate seamless search experiences at scale.

Join our dynamic team at LinkedIn as a Senior Staff Software Engineer specializing in Applications. In this pivotal role, you will lead the design and development of innovative software solutions that enhance user experience and drive business success. Your expertise will guide a talented team of engineers, collaborating on cutting-edge projects that shape the future of professional networking.

Join our dynamic team as a Senior Staff Software Engineer specializing in Applications. In this pivotal role, you will leverage your extensive experience to design, develop, and implement innovative software solutions that drive our product forward. Collaborate with cross-functional teams to ensure seamless integration and functionality while mentoring junior engineers to foster their growth.

Join Redica Systems as a Staff Quality Engineer where you will play a pivotal role in ensuring the highest standards of quality in our products. You will collaborate with cross-functional teams to develop and implement testing strategies, identify defects, and contribute to the continuous improvement of our software solutions.

As a Senior Staff Software Engineer at LinkedIn, you will play a pivotal role in designing and developing sophisticated software solutions that enhance user experience and drive innovation. You will collaborate with cross-functional teams to define product requirements, architect scalable systems, and implement high-quality code. This position offers the opportunity to influence the technical direction of projects and mentor junior engineers.

Role overview Postman is looking for a Senior Search Engineer in Bengaluru, Karnataka, India. This role focuses on building and improving search technology that helps users quickly find what they need. The work centers on both the technical foundation and the overall user experience. What you will do Design and develop search systems that support Postman’s platform. Optimize search performance for accuracy and speed. Work to improve how users discover information within the product.

P-1385 Join the innovative team at Databricks as a Senior Staff Software Engineer specializing in Backend development. In this pivotal role, you will report directly to an Engineering Leader and become an integral part of our engineering organization, collaborating with teams dedicated to developing cutting-edge Databricks products and features that empower thousands of enterprises globally. Key CharacteristicsAs a key technical leader at Databricks, you will take full ownership of product or infrastructure direction in a significant domain, guiding it from initial conception to scalable solutions that yield tangible business outcomes. Your contributions will enhance stability, reliability, and organizational processes while leveraging your in-depth expertise in large-scale distributed systems. Additionally, you will mentor senior engineers, assist in recruitment efforts, and spearhead high-impact projects, often tackling complex challenges that push boundaries. About DatabricksAt Databricks, our passion lies in empowering data teams to tackle the world's most pressing challenges—from detecting security threats to advancing cancer treatments. We achieve this by constructing and managing the premier data and AI infrastructure platform, allowing our clients to focus on the high-value challenges central to their missions. Our engineering teams are at the forefront of developing highly sophisticated products that address real-world needs. We operate one of the largest-scale software platforms, with a fleet of millions of virtual machines generating terabytes of logs and processing exabytes of data daily. Given our scale, we frequently encounter cloud hardware, network, and operating system faults, and it is crucial that our software effectively shields our customers from these issues. The Impact You Will Have Address significant business requirements at scale through your software engineering expertise. Deliver a highly scalable, available, and fault-tolerant engine that processes hundreds of TB of data daily for thousands of customers. Perform low-level systems debugging, performance assessment, and optimization on extensive production clusters. Design architecture, influence the product roadmap, and assume responsibility for new projects. Utilize your extensive experience to prevent and investigate production challenges. Plan and lead intricate technical projects collaborating with multiple teams across the organization. Be a significant influencer or driver in shaping the organization's roadmap and strategic direction. Lead a TLG or similar review committee, or initiate and sustain an organization-wide initiative driven by engineering excellence.

As a Senior Staff Software Engineer specializing in Systems Infrastructure at LinkedIn, you will be at the forefront of delivering cutting-edge technology solutions that support our global platform. You will be responsible for designing, developing, and optimizing our infrastructure systems that scale to meet the demands of millions of users worldwide.Your role requires a deep understanding of systems design, architecture, and an ability to innovate in a fast-paced environment. You will collaborate with cross-functional teams to drive projects from inception through deployment, ensuring the highest standards of quality and performance.

Join our dynamic team at Databricks as a Senior Staff Software Engineer specializing in Networking. In this role, you will leverage your expertise to design and implement cutting-edge networking solutions that enhance our data platform's performance and reliability. You will collaborate with cross-functional teams to develop innovative features that drive value for our customers. Your experience will help shape our engineering practices and contribute to the development of scalable systems.

Role overview LinkedIn seeks a Senior Staff Software Engineer specializing in Machine Learning to join the Bengaluru team. The position focuses on designing and developing advanced algorithms and systems that enhance the user experience throughout the LinkedIn platform. What you will do Develop and deploy complex machine learning models and solutions to address platform needs. Collaborate with cross-functional teams to identify and implement new applications for machine learning technology. Contribute to LinkedIn’s mission of connecting professionals and supporting their productivity and success.

(P-1174)Join our innovative Engineering team as a Senior Staff Software Engineer at Databricks, where you will report directly to an Engineering Leader. You will play a pivotal role in our engineering organization, collaborating with teams to develop cutting-edge Databricks products and features that serve thousands of enterprises globally.Key ResponsibilitiesAs a key technical leader at Databricks, you will take full ownership of the product or infrastructure strategy in a major domain, guiding it from initial development to scalable solutions with tangible business impact. You will enhance our organizational processes and stability, leveraging your extensive expertise in large-scale distributed systems. Additionally, you will mentor senior engineers, assist in recruitment efforts, and lead high-stakes company projects, often addressing complex challenges beyond typical scopes.Your Impact:Address significant business needs at scale through your software engineering acumen.Deliver a robust, scalable, and fault-tolerant engine that processes hundreds of terabytes of data daily for a vast customer base.Engage in low-level systems debugging, performance evaluation, and optimization within extensive production clusters.Design architectural frameworks, influence product roadmaps, and assume responsibility for new initiatives.Utilize your deep knowledge to prevent and troubleshoot production issues.Lead complex technical projects in collaboration with various teams across the organization.Act as a significant influence in shaping the organization’s strategic direction.