Senior Machine Learning Engineer - Search Relevance

Role Overview Join our innovative team at Moveworks as a Senior Machine Learning Engineer specializing in search relevance. In this pivotal role, you will enhance our state-of-the-art question-answering platform that leverages advanced information retrieval methodologies and cutting-edge natural language understanding technologies. Your contributions will significantly improve the quality of responses provided to enterprise users seeking instant solutions to their tech-related inquiries. At Moveworks, we prioritize rapid problem-solving and delivering exceptional value to our customers. Collaborating closely with product managers, user experience designers, customer success teams, and fellow engineers, you will conceptualize, define, and implement elegant solutions that address complex challenges in search technology. Create and refine ranking features to improve relevance metrics. Develop an algorithmic framework to support a variety of ranking features. Design platforms and tools that facilitate parallel ranking experiments. Establish metrics to assess ranking performance effectively.

Join Moveworks as a Machine Learning Engineering Manager, leading our team dedicated to enhancing search relevance through cutting-edge AI technologies. In this pivotal role, you will oversee the development and deployment of machine learning models that drive our innovative search solutions. Collaborating closely with cross-functional teams, you will ensure the implementation of best practices in machine learning and contribute to the strategic direction of our AI initiatives.

As a pivotal leader of a dynamic team of search relevance engineers, your primary mission will be to assess and enhance the ranking and relevance of our AI-driven enterprise search applications. These applications harness the power of large language models (LLMs), necessitating your expertise in evaluating and optimizing RAG-based objectives such as summarization, groundedness of responses, and citation accuracy and completeness. You will steer the team through the comprehensive development of machine learning models, encompassing data synthesis, feature engineering, experiment design, evaluation, and more. Your team's work will be fundamental in refining our search relevance systematically as we expand to new clients, diverse data types, and unique use-cases, ultimately ensuring the ranking quality across all our enterprise search products. Your team’s commitment to search quality is vital to the success of the company’s search product lines, with performance gauged by its enabling capabilities. You will empower your team members by facilitating rapid iterations on model enhancements, enabling them to refine ML metrics while understanding performance trade-offs and generalizability. You will oversee the team’s technical direction, manage project timelines, and ensure the resilience, efficiency, and innovation of our machine learning-based search systems. Collaboration with search infrastructure and platform engineers, as well as partnerships with product, design, and customer success teams, will be essential in achieving our business objectives.

Join Moveworks as a Principal Machine Learning Engineer, where you will play a pivotal role in enhancing our GAI search relevance and ranking systems. In this dynamic position, you will lead a talented team of engineers and data scientists to develop cutting-edge machine learning algorithms that improve user interactions and search outcomes. Your expertise will drive innovation and reinforce our commitment to delivering exceptional solutions.

Moveworks seeks a Senior Machine Learning Engineer to advance the GAI search relevance system. This position is based in Mountain View and centers on improving how users find information on the platform. Key Responsibilities Partner with fellow engineers to design and implement solutions that raise the quality of search results. Work on projects aimed at making the user experience smoother and supporting operational goals. Collaboration and Influence This role involves working alongside engineers who prioritize careful problem-solving and practical improvements. The work directly shapes how users engage with Moveworks’ technology.

Join the Coupang team as a Senior Staff Machine Learning Infrastructure Engineer focusing on Search & Discovery. In this pivotal role, you will drive the development and optimization of our machine learning infrastructure, ensuring our systems can meet the demands of millions of users.We are looking for experts who are passionate about leveraging cutting-edge technology to deliver exceptional user experiences. Your contributions will directly impact how our customers interact with our platform, making shopping, eating, and living easier than ever.

Moveworks is looking for a Senior Machine Learning Engineer to join the Search Platform team in Mountain View. This role centers on making it easier for users to find information by building and refining machine learning models that drive the search experience. Main responsibilities Design and enhance machine learning models that support the search platform Partner with engineering, product, and design teams to ensure technical solutions match business goals Use advanced ML methods to improve the accuracy and relevance of search results Contribute to a better user experience by making information more accessible Collaboration This position requires regular coordination with colleagues from various functions. The goal is to deliver a search platform that meets both technical standards and user expectations.

About the RoleMoveworks is seeking experienced Senior and Staff Engineers to enhance our Generative AI Search Platform. Join our dedicated team as we innovate on search-based question answering systems by integrating traditional machine learning methods with the latest advancements in generative AI technologies. Our goal is to construct conversational search systems that deliver immediate responses to enterprise user inquiries.As part of the Search Platform team, you will lead efforts to refine our search capabilities, collaborating closely with ranking, product, design, infrastructure, and data science teams. Together, we aim to elevate our agentic search products to new heights of performance and enterprise readiness.At Moveworks, we value a fast-paced, problem-solving culture that prioritizes providing exceptional value to our customers. Your role will involve working with diverse teams to identify, define, and implement elegant solutions that meet user needs.Design robust abstractions to empower ranking and product teams to effectively contribute to the codebase.Develop algorithmic frameworks for various conversational search applications, including multi-turn, multi-hop question answering systems.Lead the evolution of our search platform by integrating new LLM-enabled generative AI features, ensuring scalability, quality, security, and privacy.Create systematic evaluation metrics and methodologies for our search models, utilizing LLMs to solve unique enterprise challenges.As a technical leader, foster a high-performing, inclusive team environment while mentoring engineers at various levels.Contribute to our hiring processes and help grow our engineering team.

Coupang is hiring a Senior Staff II, Machine Learning Engineer (Tech Lead) for the Search team in Mountain View, USA. This position centers on building and enhancing the core technology behind search for one of South Korea’s largest e-commerce platforms. Role overview This role focuses on designing, developing, and refining machine learning systems that directly impact how millions of people shop online. As a technical lead, expect to work on projects that shape the search experience and improve the accuracy and speed of results for Coupang’s customers. Team and culture Coupang encourages teams to launch new initiatives and solve complex problems. Employees regularly see the results of their work, both in personal growth and in the company’s progress. The culture blends the drive of a startup with the stability and resources of a global public company. What makes this role unique Work on technology that influences how millions shop online. Join a team that prioritizes innovation and ongoing improvement. Contribute to a company known for transforming e-commerce in South Korea. Experience the energy of a startup with the support of a global organization. This is a chance to help define the future of commerce as part of Coupang’s technology-driven Search team.

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 Our TeamAre you passionate about pioneering projects that harness advanced AI technology to unlock significant benefits from meetings and conversations? Become a vital member of our core AI team at Otter.ai, where you will collaborate with seasoned scientists and engineers dedicated to machine learning. As a Senior Machine Learning Engineer, your expertise in software engineering will be crucial in scaling and refining our machine learning systems. You will play a key role in transforming innovative research into production-ready features that enhance Otter’s summarization and conversational intelligence products.Your ContributionsDesign, construct, and advance extensive SID / ASR / NLP / LLM systems that drive essential product experiences, including summarization, chat, and speech comprehension for millions of interactions.Lead the creation and execution of training, fine-tuning, post-training, and inference methodologies for large language and speech models utilizing PyTorch and/or JAX while balancing quality, latency, cost, and dependability.Innovate and enhance model architectures, loss functions, decoding techniques, and training methodologies for speech and language models, guided by research insights and production restrictions.Oversee the entire ML system lifecycle, from initial research prototyping to production deployment, continuous monitoring, iteration, and long-term maintenance.Collaborate closely with product and infrastructure teams to translate groundbreaking research into scalable, production-grade systems that yield measurable user and business outcomes.Champion system-level enhancements in model performance, robustness, observability, and operational excellence using real-world conversational data.Establish technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows within a cloud environment.Diagnose and resolve complex issues related to model behavior, data quality, scalability, and system interactions, often preemptively before they affect users.Mentor and uplift fellow engineers, contributing to team standards, evaluating designs, and fostering a culture of sound technical decision-making and execution.

Waymo is looking for a Senior Machine Learning Engineer focused on Runtime and Serving to help advance autonomous vehicle technology in Mountain View, CA. Role overview This position centers on developing and improving machine learning systems that support safe and efficient vehicle operation. The work involves optimizing algorithms and increasing the performance of deployed models in real-world conditions. What you will do Lead the design and implementation of machine learning systems used in autonomous vehicles Work on runtime and serving infrastructure to ensure reliable and efficient model deployment Contribute expertise to optimize algorithms for safety and operational performance Impact Your contributions will directly affect how Waymo's vehicles interpret and respond to their environment, supporting safer and more reliable autonomous driving.

About UsNuro is at the forefront of self-driving technology, dedicated to making autonomy available to everyone. Established in 2016, we are developing the world's most scalable driver by merging innovative AI with robust automotive hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, from robotaxis to commercial fleets and personal vehicles. With years of successful self-driving deployments, Nuro is paving the way for automakers and mobility platforms to achieve commercial-scale autonomy, enabling a safer, more interconnected future.Role OverviewOur Sensor Data and Calibration team is expanding, and we are seeking a Senior Software Engineer with a strong background in robotics and machine learning. You will be responsible for designing both online and offline unstructured (targetless) sensor calibration algorithms. The ideal candidate will have extensive hands-on experience in the research, development, and application of machine learning methods utilizing various sensor data types (IMU, camera, lidar, radar, etc.). Familiarity with classical state estimation techniques, such as non-linear least-squares optimization and Lie algebra, is a plus.Key ResponsibilitiesDevelop cutting-edge state estimation and calibration algorithms leveraging both traditional robotics and modern machine learning techniques.Evaluate and characterize the accuracy and performance metrics of state estimation and calibration algorithms.Integrate calibration pipelines into the autonomy system while monitoring onboard performance and resource usage.Collaborate with cross-functional teams to enhance ML model training and overall performance assessment.Address critical inquiries regarding sensor data and overall autonomy effectiveness.

Join Our TeamAt Unity, we are creating an exceptional ad-tech ecosystem that connects billions of users with the games and experiences they cherish. The Advertiser Growth team plays a pivotal role in this mission, managing the online ads delivery stack, which includes auction, pacing, and bidding systems. As a Senior Machine Learning Engineer, you will significantly contribute to modernizing our core infrastructure and developing backend systems for next-generation AI agents that transform the campaign experience. This position provides an exciting opportunity to tackle complex system challenges at a massive scale while directly impacting Unity’s revenue growth.

Join Waymo as a Senior Staff Machine Learning Engineer specializing in Depot Automation, where you will play a vital role in transforming the future of transportation through cutting-edge machine learning solutions.Your expertise will drive innovation and efficiency, ensuring our autonomous vehicles operate seamlessly in various environments. Collaborate with a team of passionate engineers and researchers to develop and implement advanced algorithms that enhance our depot operations.

The OpportunityAre you passionate about leading innovative projects that harness AI technology to enhance the value of meetings and conversations? Join our dynamic AI team at Otter.ai, where you will collaborate with seasoned scientists and engineers to advance our machine learning capabilities. As a Senior Machine Learning Engineer, you will leverage your robust software engineering expertise to scale and optimize our ML systems, transforming pioneering research into production-ready features that drive our summarization and conversational intelligence offerings.Your ImpactDesign, build, and advance expansive Speech Recognition, Natural Language Processing, and Large Language Model systems that underpin essential product experiences, including chat and speech understanding across millions of interactions.Lead the architecture and development of training, fine-tuning, post-training, and inference methodologies for large-scale language and speech models utilizing PyTorch and/or JAX, making informed trade-offs among quality, latency, cost, and reliability.Enhance model architectures, loss functions, decoding methods, and training strategies for speech and language models, guided by both research insights and practical constraints.Oversee the complete ML system lifecycle, from research prototyping to production deployment, including monitoring, iteration, and ongoing maintenance.Collaborate closely with product and infrastructure teams to translate groundbreaking research into scalable, production-grade systems that yield significant user and business impact.Drive enhancements in model performance, reliability, observability, and operational excellence using real-world conversational data at scale.Establish technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment processes in a cloud environment.Identify and resolve complex challenges in model behavior, data quality, scaling, and system interactions, often preemptively addressing issues before they affect users.Mentor and uplift fellow engineers, shaping team standards, reviewing designs, and fostering a culture of high-quality technical decision-making and execution.Influence applied research and technical strategies by pinpointing promising speech and multimodal modeling techniques, and driving their validation and adoption.

About Us Nuro is a pioneering self-driving technology company committed to making autonomy accessible for everyone. Established in 2016, we are developing the world’s most scalable autonomous vehicle, integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to enable a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With a proven track record in self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to large-scale autonomous vehicles, paving the way for a safer, more connected future. Position OverviewOur robotics division is expanding, and we are on the lookout for an experienced Software Engineer to join our Sensor Data and Calibration team. We seek a candidate with a strong background in robotics and machine learning to create synthetic sensor simulation models and algorithms. The ideal applicant will possess hands-on experience with research, development, and implementation of machine learning techniques (such as NeRF or Gaussian splatting) aimed at generating synthetic sensor data, including photorealistic images and realistic lidar and/or radar outputs. Your Responsibilities Research, develop, and implement cutting-edge synthetic sensor simulation methodologies. Evaluate and characterize the authenticity and utility of synthetic sensor data. Address critical inquiries regarding sensor data and the performance of autonomous systems. Collaborate with cross-functional teams to establish mapping needs and specifications. Candidate Profile One of the following qualifications: PhD in machine learning, computer science, electrical engineering, robotics, or a related discipline with at least 3 years of industry experience. Master's degree with a minimum of 4 years of industry experience. 5+ years of relevant industry experience. In-depth understanding of machine learning principles, with practical experience in training and evaluating modern ML models. Proficient in Python, with familiarity in deep learning frameworks like PyTorch, TensorFlow, or Jax. Desired Skills Comprehensive knowledge of 3D geometry and state estimation concepts. Strong programming skills in systems coding. Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc.), including noise modeling. Familiarity with contemporary ML graphics techniques, such as NeRF, Gaussian Splatting, and/or generative models.

About the RoleJoin our dynamic team of experts where machine learning and systems engineering intersect to enhance the performance of autonomous systems. As a Senior Software Engineer specializing in Perception Machine Learning Data, you will play a crucial role in integrating machine learning advancements with autonomy infrastructure, ensuring that our models are trained using the most pertinent, diverse, and high-quality datasets. Your contributions will significantly influence how autonomous systems recognize uncommon scenarios, adapt to various geographical contexts, and operate safely at scale.Key Responsibilities Include:Utilizing Vision Language Models (VLMs) to compile diverse datasets that reflect real-world driving patterns across different regions.Creating high-fidelity synthetic data frameworks across multiple sensor modalities.Enhancing machine learning-powered validation processes for data quality and model preparedness.Your Impact:High-Output Generalist: Collaborate across various domains including autonomy, infrastructure, databases, simulation, and machine learning development, while expanding your expertise in Robotics and ML.Robotics Specialist: Develop cutting-edge solutions for data discovery, automated labeling, and synthetic data generation in close cooperation with the Infrastructure and Autonomy teams.About the WorkTackle the most demanding data challenges in autonomy by applying machine learning and rigorous systems engineering principles:Design hybrid systems that combine deep learning with traditional algorithms for scalable data curation and annotation.Create frameworks to evaluate the real-world authenticity of synthetic data and enhance the quality of synthetic data rendering.Develop tools to automatically identify data gaps that affect the performance of perception models.Collaborate with autonomy engineers to transform raw sensor data into prioritized training objectives, addressing critical gaps that hinder perception and autonomy performance.About YouBachelor’s degree in Computer Science, Robotics, Statistics, Physics, Mathematics, or a related quantitative field.Experience:4+ years of professional software engineering experience, proficient in Python and familiar with C/C++. Demonstrated ability to lead cross-functional technical projects from conception to execution.You have hands-on experience in implementing machine learning solutions and enjoy embedding them into practical systems. Your focus is on delivering impactful, integrated solutions rather than solely theoretical ML projects.Bonus PointsExperience working with synthetic or autonomous driving data.Background in building machine learning systems for robotic applications.

Waymo, a leader in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. With our Waymo Driver, we have powered a fully autonomous ride-hail service, achieving over ten million rider-only trips and accumulating experience from over 100 million miles driven on public roads and tens of billions of miles in simulation across more than 15 U.S. states.The Waymo AI Foundations team is on a mission to create machine learning solutions that address critical challenges in autonomous driving, aiming to operate Waymo vehicles safely across numerous cities and under various driving conditions. We actively engage in collaborative efforts with other research teams within Alphabet, focusing on areas such as reinforcement learning, learning from demonstrations, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.This role follows a hybrid work schedule and you will report to a Senior Staff Software Engineer.

Be Part of the Future of Home RoboticsAt Sunday Robotics, we are pioneering the development of personal robots that alleviate the burden of repetitive household tasks. Our mission is to democratize access to advanced robotics, allowing families to reclaim precious time.After an intensive 18 months of assembling a talented team, securing funding, and validating our innovative technology, we are eager to welcome passionate individuals to join us as we embark on the next exciting chapter of our journey. If you are enthusiastic about contributing your skills to the cutting edge of robotics, we want to hear from you!The RoleAs a Machine Learning Infrastructure Engineer at Sunday Robotics, you will play a pivotal role in shaping the future of home robotics. You will develop end-to-end machine learning models for robotic manipulation, creating foundational systems that will expedite our efforts to introduce robots into everyday homes.This versatile position can be customized to align with your specific expertise, whether it be in data pipelines, training infrastructure, or inference. Your contributions will span the entire robot learning pipeline: from ingesting and processing multimodal data to scaling distributed training, optimizing real-time inference, and developing research tools.What You Will AccomplishEnhance the research codebase for optimal ergonomics and rapid iteration.Oversee model training infrastructure, including job scheduling, checkpointing, metrics, and logging.Facilitate distributed training across GPU clusters with minimal friction for researchers.Enable the training of larger models through techniques such as sharding and memory optimization.Profile and enhance GPU utilization, memory efficiency, and training throughput.Create low-latency inference pipelines for real-time robot control, employing techniques to optimize performance.Collaborate closely with researchers and roboticists to transform research requirements into robust software and infrastructure.Data Pipelines and Research ToolsArchitect high-throughput pipelines for the ingestion, validation, and transformation of multimodal robot data such as video and proprioception.Develop efficient storage systems and metadata indexing for seamless data retrieval.