Senior Staff Machine Learning Infrastructure Engineer – Search & Discovery

Your Role at MoveworksDevelop and enhance core infrastructure services and microservices that support our machine learning, frontend, and platform teams.Implement critical functionalities such as distributed configuration management, rate limiting, feature flagging, A/B testing, and traffic capture and replay.Optimize the performance, scalability, and observability of Moveworks cloud infrastructure.Consistently deliver time-sensitive projects in collaboration with other engineering teams.Take full ownership of features from inception to deployment while actively influencing the infrastructure roadmap.Engage in a highly collaborative, in-person role, working across various teams including Core and ML engineering.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from realizing the next mode of transportation to fast-tracking medical advancements. Our mission involves constructing and managing the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their operations. Search technology is integral to this endeavor. Through a combination of keyword retrieval, semantic similarity via vector embeddings, and hybrid methods, our Search technologies enable users to find, discover, and comprehend information within vast, intricate datasets. This technology fuels a wide array of applications, from Retrieval Augmented Generation (RAG) and AI assistants to recommendation engines, enterprise knowledge management, in-product search, and data exploration. As a Staff Software Engineer specializing in Search Quality, you will steer the technical strategy for ranking, relevance, evaluation, and quality initiatives within Databricks' advanced Search product. You will architect and develop systems, models, and evaluation frameworks that guarantee our Search stack yields precise, high-quality outcomes across a variety of multimodal datasets and query patterns. Collaborating with research, product, and infrastructure teams, you will push the boundaries of retrieval quality for enterprise AI applications by integrating traditional information retrieval techniques with representation learning and neural ranking. In addition to your technical contributions, you will help shape our long-term vision for relevance and quality, mentor senior engineers, and lead strategic initiatives that enhance the accuracy, dependability, and overall impact of Search across Databricks.

Moveworks is hiring an Associate Software Engineer to join the Search Infrastructure team in Mountain View. This position centers on building and improving systems that help users access information quickly and accurately. Role overview Work closely with other engineers to develop solutions that strengthen search features across Moveworks products. The team focuses on making it easier for users to find what they need, supporting both performance and reliability. Collaboration and growth This role offers hands-on experience with advanced technology in a team that encourages learning and development. Expect support from colleagues as you expand your skills and contribute to impactful projects.

Moveworks is looking for a Senior Software Engineer focused on Search Infrastructure to help advance the company’s search technology. This position is based in Mountain View. Role overview This role centers on building and improving scalable search systems. The work directly supports better user engagement and satisfaction by making search faster and more effective. Collaboration Expect to work closely with colleagues from different teams. Joint efforts will shape the design and implementation of new search features and infrastructure improvements. Key responsibilities Design and implement scalable search solutions Enhance existing search capabilities Work with cross-functional teams to deliver improvements

About UsAt Aurora, our mission is to revolutionize transportation through safe and efficient self-driving technology, making it accessible to everyone.Explore the Aurora Driver and discover how we are paving the way for a new era in mobility and logistics.Join our team of dedicated professionals at Aurora, where you will engage in complex challenges and continuously enhance your expertise in a collaborative atmosphere. For updates, visit aurora.tech or connect with us on LinkedIn.We are on the lookout for a skilled and driven Staff Software Engineer to spearhead a new team focused on enhancing and modernizing our Offline Testing Infrastructure (OTI). OTI serves as a vital middle-layer infrastructure that supports our PR testing, test creation, and Verification & Validation (V&V) processes.This role is critical, with a strong emphasis on increasing the efficiency of our engineering teams and ensuring the reliability of our release cycles. The ideal candidate will build and lead a small, dedicated team to transition OTI to a stable, high-performance, and scalable platform.Responsibilities:Team Leadership: Act as the technical lead for the OTI team, guiding the strategic vision, execution, and long-term stability of our core infrastructure.Testing Ecosystem Development:Design a next-generation offline testing architecture that meets diverse team requirements, minimizes redundancy, and fosters collaboration across the organization.Collaborate with Test Creation and Test Drive teams to...

The OpportunityAre you a seasoned Staff Software Engineer, Backend (Infrastructure) eager to drive transformative change at the convergence of scalable web services and state-of-the-art AI technologies? Join us at Otter.ai, where we are on the lookout for a skilled engineer to spearhead the development, deployment, and oversight of web services and infrastructure that fuel our AI-driven products and initiatives. In our vibrant engineering team, you will collaborate closely with AI researchers, product managers, and technology experts to deliver innovative solutions that significantly enhance the experiences of end-user professionals and enterprise clients across various sectors.Your ImpactUtilize your vast expertise in Python to design and refine backend systems that seamlessly integrate with machine learning and AI functionalities.Craft and execute robust business logic using web frameworks such as Django, ensuring full compatibility with AI components and integration with MySQL.Architect scalable solutions employing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support advanced AI models and workflows.Produce reusable, efficient, and maintainable code that underpins our high-performance applications, delivering exceptional user experiences.

P-1124 Summary At Databricks, we are driven by a passion for empowering data teams to tackle some of the most challenging problems in the world, spanning from security threat detection to advancements in cancer drug development. We achieve this by constructing and managing a top-tier data and AI infrastructure platform, enabling our customers to concentrate on their high-value missions. Our engineering teams are dedicated to creating highly technical products that address significant needs in the world. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers’ success on our platform. Customers place their trust in Databricks with their most sensitive data, and our Trust & Safety team is committed to establishing the world’s most reliable data analytics and machine learning platform. Security Engineering plays a pivotal role within Trust & Safety, working diligently to safeguard customer data from malicious threats. We are seeking seasoned leaders like you to craft the vision and define the strategy for this critical area. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical vulnerabilities in our infrastructure and services. Attract industry-leading talent to our team. Serve as a representative for the security engineering discipline throughout the organization, advocating for a data-driven approach. Represent Databricks at academic and industry conferences and events. What we look for: A minimum of 7 years of experience in Data Security or related fields, with expertise in at least two of the following areas: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Proven experience in building systems at large-scale internet companies is highly desirable. ...

At Coupang, we are dedicated to delivering an exceptional experience for our customers. Our goal is to elicit the reaction, "How did we ever live without Coupang?" With a relentless passion for simplifying shopping, dining, and living, we are transforming the multi-billion-dollar e-commerce landscape from the ground up. We have rapidly emerged as one of the leading e-commerce companies in South Korea, known for our reliability and innovation. We embody the best of both worlds — a startup-like atmosphere paired with the resources of a global public enterprise. This unique combination propels our growth and accelerates the launch of new services, maintaining the swift pace we established at our inception. Our team is filled with entrepreneurial spirits eager to initiate new projects and innovations. At Coupang, you will witness personal, team, and company growth each day. Our mission to revolutionize commerce is genuine. We continuously push the limits of what is achievable, tackling challenges and dismantling traditional trade-offs. Join Coupang and contribute to creating an extraordinary experience in today’s fast-paced, technologically advanced, and interconnected world. Role Overview As a Senior Staff Software Engineer in the ML Infrastructure team for Search & Discovery, you will be tasked with designing and implementing robust and efficient software solutions that manage vast amounts of structured and unstructured data necessary for training complex machine learning models and serving them effectively online. The Search & Discovery team is pivotal in optimizing our customers' navigation experience and driving sustained growth. Each week, over 20 million customers utilize search on our app or coupang.com, with more than a third making purchases. A significant portion of Coupang's sales is directly linked to search and recommendation features, with many business strategies and growth initiatives being influenced by ranking and recommendation algorithms. This position offers a chance to develop scalable offline and online machine learning platforms to support ranking, recommendation, and business decision-making. You will work with billions of user interaction records and petabytes of raw log files, converting them into actionable data formats for engineers and scientists. Additionally, you will be responsible for delivering complex machine learning models in real-time, facilitating millions of Coupang customers in discovering and searching for products. If you are passionate about big data engineering, scalable serving systems, and making a tangible business impact, this role is an excellent fit for you.

About Moveworks At Moveworks, our mission is to transform language into the universal user interface. We empower enterprises with a conversational interface that seamlessly integrates with all systems—from Microsoft to Workday to Salesforce. Utilizing advanced GPT-class machine learning models, our platform adapts to the unique language of each organization, effectively addressing thousands of use cases. Esteemed brands such as Databricks, Broadcom, DocuSign, and Palo Alto Networks rely on Moveworks’ proprietary enterprise data, ready-to-use solutions, and user-friendly developer tools to implement conversational automation across their businesses. Founded in 2016 and backed by leading investors including Kleiner Perkins and Lightspeed, Moveworks has raised $315 million in funding and reached a valuation of $2.1 billion. We are proud to be recognized as a part of the Forbes AI 50 list for five consecutive years and to have received accolades such as the 2023 Edison Awards for AI Optimized Productivity and the Best Bot Solution at the 2022 AI Breakthrough Awards. With over 500 employees across six global offices, we invite you to be a part of one of the most innovative teams in the industry! Your Role As the Senior Engineering Manager for our core infrastructure team, you will spearhead the development of the Moveworks AI infrastructure. As our company grows rapidly, your leadership will be crucial in designing and operating highly reliable and resilient foundational services and frameworks that enable seamless scalability and swift feature development for our engineering teams. You will collaborate closely with teams in machine learning, search, product management, data, and full-stack engineering to identify, define, and implement elegant solutions to complex product and engineering challenges. This is an exceptional opportunity to play a pivotal role at the fastest-growing AI startup in its sector. Lead the evolution of Moveworks infrastructure architecture and foundational services with a focus on high reliability, scalability, performance, and security. Collaborate with machine learning, search, product, data, and frontend teams to understand their infrastructure needs, influence the infrastructure roadmap, and oversee the execution of various projects. Architect and enhance the core infrastructure and foundational services to support our rapid growth and customer needs.

Join Otter.ai as a Senior Software Engineer specializing in Search & Recommendations, where you will play a pivotal role in enhancing our platform's ability to deliver tailored content and improve user experiences. You will collaborate with a talented team of engineers and product managers to develop innovative solutions that leverage machine learning and natural language processing.

As a Senior Staff Software Engineer specializing in Compute Infrastructure, you'll play a pivotal role in designing, building, and optimizing our cloud infrastructure systems. Your expertise will help drive performance and scalability, ensuring our platforms support the ever-increasing demand for data processing and storage. You will work collaboratively with cross-functional teams to develop innovative solutions that enhance our technology stack.

Join our dynamic team at LinkedIn Corporation as a Senior Staff Software Engineer specializing in Systems Infrastructure. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust infrastructure systems that support our growing platform. You will collaborate with cross-functional teams to drive innovation and optimize our systems for scalability and performance.

Join our innovative team at LinkedIn as a Senior Staff Software Engineer focused on AI Infrastructure. In this role, you will leverage your expertise to build and enhance scalable AI systems that empower millions of users worldwide. You will collaborate with cross-functional teams to develop efficient algorithms and contribute to cutting-edge projects that drive our commitment to AI excellence.

Coupang stands out as a major e-commerce company in South Korea, recognized for its reliability and drive to innovate. The company blends the energy of a startup with the scale and resources of a global public business. Teams move quickly, launching new services and growing rapidly. Employees are encouraged to take ownership and help shape the future direction of commerce. Role overview The Staff Backend Engineer - Application Infrastructure will be part of the Application Infrastructure team, working on foundational systems that support Coupang’s complex workflows. This position is greenfield, offering the chance to design and build core backend infrastructure from the ground up. The systems developed will enable fast workflow creation for various domain teams, including those responsible for Coupang’s rocket delivery service. The impact of this work reaches systems that handle hundreds of millions of dollars in revenue. Location Mountain View, USA Seattle, USA

Join Our Team as a Software Engineer, Core InfrastructureAs a pivotal member of the Core Infrastructure team at Moveworks, you will play a crucial role in designing and implementing the next generation of our AI infrastructure. With Moveworks experiencing rapid growth, our infrastructure team is dedicated to creating and maintaining reliable, resilient foundational services and frameworks that enable our products to scale efficiently and support our engineering teams in delivering customer-facing features swiftly.Collaborate closely with machine learning, search, product, data, and frontend teams to assess their infrastructure requirements, influence the infrastructure roadmap, and lead various projects from conception to execution.Design and construct core infrastructure components and foundational functionalities, including distributed key-value stores, schema-less data stores, authentication and authorization systems, event streaming, distributed configuration management, rate limiting, circuit breaking, feature flag systems, A/B testing, and traffic capture and replay.Enhance the observability and reliability of Moveworks systems by building and refining distributed logging, tracing, monitoring, and alerting infrastructures.Establish methodologies and metrics to evaluate the performance of microservices and product functionalities, identify bottlenecks, and enhance the overall performance and scalability of Moveworks applications.Consistently deliver time-sensitive work that is interconnected with other engineering teams.

At Databricks, we are committed to empowering data teams to tackle some of the world's most significant challenges—ranging from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized through the development and management of the foremost data and AI infrastructure platform, enabling our clients to derive deep insights from their data to enhance business outcomes. Founded by engineers and driven by a passion for customer success, we eagerly embrace each opportunity to confront technical hurdles, from innovating next-generation UI/UX for data interaction to scaling our services across millions of virtual machines. Our journey has just begun.As a Senior Staff Software Engineer, you will be a pivotal member of the executive leadership team within the Data Platform organization. You will utilize cutting-edge AI developer tools and methodologies to construct the Data Intelligence Platform, which will facilitate automated decision-making across Databricks. This role involves collaboration with distinguished Tech Leads, product teams, data scientists, and others. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.

About Us Nuro is a pioneering self-driving technology company dedicated to making autonomous solutions accessible to everyone. Established in 2016, we are developing the most scalable autonomous driver by integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to achieving commercial-scale autonomous vehicles, promoting a safer, more connected future. Role Overview At Nuro, we adopt a machine-learning-first strategy in our approach to autonomous driving technology. The performance of our systems is significantly influenced by the quality and diversity of training and evaluation data. Your team will be pivotal in enhancing our autonomous driving systems by establishing a robust and scalable data infrastructure. This infrastructure will generate training and evaluation data from both real-world driving logs and simulated environments. Collaborating closely with system engineers, you will ensure thorough validation of the autonomous driving system prior to deployment. Key Responsibilities Design and implement cohesive, introspectable data pipelines capable of processing large-scale batch and streaming data across diverse evaluation use cases. Develop a storage solution that efficiently manages extensive volumes and a wide variety of performance metrics. Create user-friendly dashboards and reports to display evaluation results, enabling easy comparisons to highlight improvements and regressions in ML components and the overall system. Establish and maintain continuous testing and monitoring systems to ensure the integrity and robustness of our data and data pipelines. Build data mining tools utilizing applied ML techniques to meet data discovery requirements in areas such as Perception, Behavior, and Mapping. Develop data annotation tools to aid both first-party and third-party labeling efforts, ensuring high-fidelity perception, mapping, and trajectory labels. Scale data annotation labels with cutting-edge ML techniques. Qualifications A degree in Computer Science, Engineering, or a related field (BS, MS, or PhD) combined with at least 4 years of relevant professional experience. Strong programming skills in Python or similar languages. Experience in data engineering, machine learning, or related fields. Familiarity with data pipeline tools and frameworks. Ability to work collaboratively in a fast-paced, innovative environment.

P-1124 Summary At Databricks, we are passionate about empowering data teams to tackle the world's most challenging issues, from detecting security threats to advancing cancer drug development. We achieve this by developing and maintaining the leading data and AI infrastructure platform, allowing our clients to concentrate on the critical challenges that define their missions. Our engineering teams are dedicated to creating highly sophisticated products that address genuine, vital needs in society. We continually explore the frontiers of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success on our platform. Clients trust Databricks with their most valuable data, and the Trust & Safety team is committed to establishing the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role within Trust & Safety, crucially safeguarding customer data from malicious threats. We seek senior leaders to craft the vision and define the strategy for this crucial domain. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical gaps in our infrastructure and services. Attract top-tier talent from across the industry. Serve as a key advocate for the security engineering discipline throughout the organization, promoting a data-driven approach. Represent Databricks at academic and industry conferences and events.

Nuro develops self-driving technology, aiming to make autonomous vehicles accessible for everyone. Since 2016, the team has blended advanced AI with automotive-grade hardware, licensing the Nuro Driver™ to support robotaxis, commercial fleets, and personal vehicles. Partnerships with automakers and mobility platforms help bring these autonomous solutions to commercial scale. The Senior Software Engineer - Software Update Infrastructure role is part of the Fleet Connectivity team based in Mountain View, California. This position focuses on building and maintaining systems that support release infrastructure and over-the-air (OTA) updates for Nuro’s autonomous vehicles. The work covers both cloud and robotics stacks, ensuring reliable network connectivity, telemetry, and software updates that are vital to Nuro’s mission. What you will do Design, build, test, deploy, and maintain software for release infrastructure and OTA updates. Manage project priorities, deadlines, and deliverables within the team and when working with other groups. Write high-quality, testable code that meets strict code quality standards. Monitor release system performance by defining and tracking KPIs, and implement optimizations to improve build costs, times, and storage usage. Create testing and validation programs to ensure system architecture and data flows are reliable. Contribute to documentation and participate in on-call rotations during business hours. Requirements 5+ years of experience working with large-scale distributed systems. Proficiency in C++ or Go. Comfortable working in Unix/Linux environments and with Bash scripting. Ability to translate broad requirements into detailed system designs. Strong knowledge of data structures, algorithms, and distributed system software design. Bachelor’s degree in Computer Science, Electrical Engineering, or a closely related field. Bonus points Experience with SQL. Familiarity with Google Cloud Platform (GCP). UI development experience. Background in OTA updates execution and management.