Senior Software Engineer at DataVisor | Mountain View, California

DataVisor stands at the forefront of AI-driven fraud and risk management solutions, providing unparalleled detection capabilities within the industry. Our innovative SaaS platform allows for seamless integration and enhancement of diverse data sources, enabling organizations to respond to rapidly changing fraud and money laundering scenarios in real-time. Wi…

About UsAt MAI, pronounced “my,” we are dedicated to revolutionizing advanced advertising technology. Our mission is to make cutting-edge marketing tools, once reserved for large corporations, accessible to businesses of all sizes. Through our innovative platform leveraging AI agents, we automate and enhance performance marketing, enabling small and mid-sized businesses to profitably scale their ad spend without relying on agencies or spending countless hours on manual campaign management.Founded by seasoned professionals from Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to accelerate our growth. This investment will help us expand our product and engineering teams to realize our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness, assisting clients in achieving 40% more sales and managing millions in monthly Google Ads expenditures. We are experiencing a rapidly growing client waitlist.Why Join Us Now?As we venture into the uncharted territory of building infrastructure for autonomous, intelligent agents, you will not merely be writing code; you will be the architect of the environment where our AI agents thrive. You will have a significant impact across our entire stack—from the foundational data platforms that support our agents to the core frameworks that empower them to reason, and the scalable systems that deliver their intelligence to our customers. This is a unique opportunity to create a truly AI-native product and tackle challenges at the forefront of the industry.You will be a vital member of a small, focused team of fewer than ten engineers, with the opportunity to shape the future of our organization. We are in the early stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis role offers you the chance to grow your skills as these teams develop, encouraging you to leverage your specializations while exploring new projects and learning from your peers.

Moveworks seeks a Software Engineer to join its team in Mountain View, CA. The position focuses on improving user experiences and supporting day-to-day business operations. Role overview This engineer will collaborate with colleagues from various backgrounds to design and build new technical solutions. The work centers on creating tools and features that help streamline business processes. What you will do Work closely with other engineers and professionals to develop new products and features Contribute to projects that improve the efficiency and effectiveness of business operations Use modern technologies to address practical challenges Location This position is based in Mountain View, CA.

About CreatifyCreatify is pioneering the world’s first comprehensive AI advertising agent, a cutting-edge platform that automates the entire lifecycle of video advertising—from scripting and avatar-led generation to testing, optimization, and publishing across platforms such as Meta, TikTok, and YouTube.In just 18 months, we have achieved over $10 million in Annual Recurring Revenue (ARR), empowering more than 1.5 million users and 10,000 teams. Renowned brands like Alibaba, HubSpot, Binance, NewsBreak, and Zumper leverage Creatify to craft personalized, high-impact video ads within minutes.We have secured $24 million in funding from prominent Silicon Valley investors including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Comcast Ventures, and Creator Ventures. Catch our latest press coverage from Fast Company, TechCrunch, Bloomberg TV, as well as our recognition as one of the IVP Enterprise AI 55 in 2024.Located in Mountain View, our team comprises dedicated AI researchers, engineers, and advertising experts. Join us in transforming the advertising landscape with AI.About the RoleWe are on the lookout for a full-time Product Design Intern to assist our design team in crafting user-friendly, high-quality experiences across our platform.As an intern, you will collaborate closely with product managers, engineers, and designers, contributing to design projects that encompass product features, internal tools, and marketing materials. This position is designed to provide a hands-on learning experience within a dynamic startup environment, enabling you to make meaningful contributions to actual product development.Start Date: We prefer candidates who can begin as soon as possible, as this is not a cohort-based role.Work Authorization: Candidates must have authorization to work in the U.S. We encourage applications from individuals eligible under CPT or OPT.

Coupang is looking for a Staff Machine Learning Engineer in Mountain View to help strengthen its e-commerce platform. This position centers on applying advanced machine learning methods to improve both user experience and internal operations. Role overview The Staff Machine Learning Engineer will work closely with teams across the company to design, build, and launch machine learning models. These efforts aim to solve complex business challenges and support Coupang’s growth. Key responsibilities Develop and implement machine learning models that enhance system performance Collaborate with cross-functional groups to identify and address business needs Contribute to the deployment and ongoing improvement of machine learning solutions Location This role is based in Mountain View, USA.

About NewsBreakFounded in 2015, NewsBreak is a pioneering Content Intelligence platform that is redefining the content economy. With a vibrant community of over 40 million monthly active users, our flagship platform offers deeply personalized local news and information, driven by cutting-edge AI technologies, sophisticated recommendation systems, and innovative adtech solutions.Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we take pride in being Great Place to Work® certified. Our dynamic team of technologists, product innovators, and business leaders is dedicated to tackling significant challenges at scale.Having reached unicorn status in 2021, we are steadfast in our commitment to maintaining a high-growth trajectory through the right talent to help us realize our mission: building the infrastructure layer for content intelligence.If you’re motivated to think big, innovate rapidly, and make a meaningful impact, we’d love to connect with you! For more information, visit www.newsbreak.com/aboutAbout the RoleWe are on the lookout for a Staff Machine Learning Engineer to spearhead technical leadership for our recommendation systems and AI initiatives.In this pivotal position, you will set the technical direction for large-scale personalization systems, lead intricate projects across various teams, and champion the integration of AI / LLM technologies in our product capabilities and engineering workflows.This opportunity is perfect for engineers who relish system-level thinking, enjoy mentoring others, and excel at transforming complex, ambiguous challenges into scalable solutions.What You’ll Work OnTechnical Leadership & ArchitectureLead the design of next-generation recommendation system architectures at scale.Drive best practices for model lifecycle management, experimentation, and system reliability.Collaborate with product, infrastructure, and data teams to ensure alignment of technical strategy with business objectives.Advanced Recommendation & AI SystemsOversee complex initiatives encompassing retrieval, ranking, re-ranking, and multi-objective optimization.

Are you driven by a passion for solving complex AI challenges and eager to play a pivotal role in revolutionizing enterprise automation? Join Kognitos as we shape the future of software development!Your Contributions Will Include:Optimizing Resource Utilization: Create cutting-edge strategies to enhance resource efficiency in training and fine-tuning machine learning models, ensuring optimal performance without compromising on resource usage.Developing Intelligent Workflows: Innovate workflows that empower AI to reason, plan, and execute tasks consistently, reducing errors and unexpected outcomes.Integrating Multimodal Language Models: Engage in multimodal projects that blend text, images, and various data formats to develop robust, enterprise-ready automation solutions.Enterprise-Scale AI Solutions: Deliver AI systems that address enterprise needs, targeting a reduction of operational costs by 30% through widespread adoption.Key Responsibilities:Design and implement machine learning models with a focus on intelligent workflows and reliable task execution.Refine AI systems for multimodal applications, effectively tackling real-world challenges faced by enterprises.Pioneer new fine-tuning methodologies to enhance resource utilization and model efficacy.Ensure alignment of AI systems with regulatory standards while delivering consistent business outcomes.Collaborate with diverse teams, including product management, engineering, and business stakeholders, to drive impactful solutions.Stay abreast of the latest advancements in AI research, integrating cutting-edge developments into Kognitos’ platform.Qualifications:A Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or a related discipline.Demonstrated experience in developing and deploying machine learning models in production settings.Expertise in fine-tuning techniques for large-scale models and resource optimization.Strong intuition and experience with Large Language Models (LLMs).Familiarity with multimodal language models and their applications in enterprise environments.

About Us At Otter, we empower restaurateurs to thrive in the digital food delivery landscape. Our innovative platform is trusted by globally recognized brands like Chick-fil-A, Ben & Jerry’s, KFC, and Eataly. We are passionate about enhancing the dining experience and simplifying online ordering for restaurants of all sizes. Your Role As a Backend Engineer, you will play a pivotal role in designing, implementing, and optimizing our core systems that drive critical applications. Your responsibilities will adapt to your unique strengths and interests, allowing you to focus on: Infrastructure: Build and maintain secure, scalable, and high-performance systems to ensure operational excellence. Platform: Develop robust APIs and developer tools that enhance team efficiency and scalability. Product: Engineer backend services that support customer-facing applications for a seamless user experience. Key Responsibilities: Architect and implement scalable backend systems and APIs. Ensure high performance, reliability, and security of systems. Collaborate with product managers, designers, and fellow engineers to deliver comprehensive solutions. Engage in code reviews, testing, and documentation to uphold quality standards. Mentor junior engineers or take on leadership roles as per your expertise.

About Us:Aeva is at the forefront of revolutionizing perception technology for diverse applications including automated driving, industrial robotics, consumer electronics, health monitoring, security, and more. Our innovative approach integrates all essential LiDAR components into a compact silicon photonics chip, creating a game-changing 4D LiDAR sensor that not only maps 3D positions but also measures instant velocity. This advancement empowers autonomous machines like vehicles and robots to operate with enhanced intelligence and safety.Role Overview:We are seeking a talented Optical Engineer to join our energetic and cutting-edge team at Aeva. In this pivotal role, you will be instrumental in the design, development, and rigorous testing of intricate optical sub-components and systems integral to our pioneering LiDAR coherent sensing technology.

At Waymo, we are pioneering the future of autonomous driving technology with a mission to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus is on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent the tragic loss of lives due to traffic accidents. The Waymo Driver not only powers our fully autonomous ride-hailing service but is also adaptable to various vehicle platforms and use cases. With over ten million trips completed and more than 100 million miles driven autonomously on public roads, we are setting the standard in the industry.The Simulator Team at Waymo is dedicated to creating advanced simulations that replicate realistic environments for the testing, training, and validation of the Waymo Driver. Our diverse and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers develop cutting-edge simulation solutions that utilize sophisticated generative and reconstructive ML algorithms. These simulations model real-world scenarios, including realistic agents, roads, traffic systems, weather conditions, and an extensive sensor suite (Camera, Lidar, Radar).In this position, you will play a crucial role in enhancing the fidelity, scalability, and richness of our simulations. By leveraging state-of-the-art ML technologies and large-scale datasets, you will help create dynamic virtual worlds that directly influence the development and validation of the Waymo Driver.In this role, you will report to a Senior Staff Engineering Manager.

Join Moveworks as a Senior Machine Learning Engineer and become a pivotal part of our innovative team dedicated to transforming customer experiences through advanced AI solutions. In this role, you will leverage your expertise in machine learning to develop and implement cutting-edge algorithms that drive our AI systems forward. Collaborate with cross-functional teams to understand user needs and enhance our product offerings.

About CreatifyCreatify is revolutionizing the advertising landscape with the world's first comprehensive AI advertising agent. Our innovative platform streamlines the complete video ad lifecycle, from concept creation and avatar-driven generation to testing, optimization, and seamless publishing on platforms like Meta, TikTok, YouTube, and beyond.In just 18 months, we've achieved over $10 million in ARR, supporting more than 1.5 million users across 10,000+ teams. Renowned brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper leverage Creatify to create personalized, high-impact video ads in mere minutes.Backed by $24 million in funding from prestigious Silicon Valley investors, including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Comcast Ventures, and Creator Ventures, our growth has been remarkable. Discover our latest features in coverage by Fast Company, TechCrunch, and Bloomberg TV, along with our recognition as one of IVP Enterprise AI 55 in 2024.Located in Mountain View, our team consists of dedicated AI researchers, engineers, and advertising experts. Join us in transforming the advertising industry through the power of AI.

Moveworks is looking for a DevOps Software Engineer in Mountain View, CA. This position centers on improving and maintaining cloud-based solutions for the team and clients. Role overview As a DevOps Software Engineer, collaboration with various teams will be part of daily work. The main focus is on automating processes, refining deployment pipelines, and supporting smooth integration of software components. What you will do Work with cross-functional groups to automate workflows and deployments Optimize the deployment pipeline for reliability and efficiency Help integrate software components to ensure stable releases Impact Expertise in DevOps practices will help maintain high service standards for clients and support ongoing improvements to cloud-based offerings.

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.

As the Engineering Manager for the Machine Learning Infrastructure team, you will lead the charge in developing a state-of-the-art platform that underpins Moveworks' conversational AI capabilities. This pivotal role is essential for the long-term scalability of our flagship AI product and the overall success of the company.Your primary responsibility will be to oversee a team of skilled engineers dedicated to constructing, optimizing, and expanding the comprehensive systems that facilitate the entire ML/LLM lifecycle. This encompasses our infrastructure for distributed training and inference, model evaluation frameworks, and LLM latency optimization. You will shape the technical direction of the team, harmonizing the operational requirements of our core ML infrastructure with innovative research to create the next generation of LLMs utilizing advanced generative AI.The frameworks your team creates will form the backbone for all ML models deployed in production, serving hundreds of millions of enterprise employees. Your efforts will significantly influence the evolution of the Moveworks Enterprise Copilot platform and the trajectory of AI-driven employee services.

Join Databricks as a Senior Engineering Manager, where you will lead a talented team of engineers to innovate and enhance our cutting-edge data platform. You will play a pivotal role in driving engineering excellence and delivering high-quality solutions that empower organizations to harness the full potential of their data.

Harness, the leading AI Software Delivery Platform, is spearheaded by innovator and entrepreneur Jyoti Bansal, known for founding AppDynamics, which was acquired by Cisco for $3.7 billion. With approximately $570 million raised in funding and a valuation of $5.5 billion, Harness is supported by top-tier investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI rapidly advances code generation, the actual bottleneck now lies in the post-coding phase—encompassing testing, deployments, security, reliability, compliance, and cost optimization. Harness leverages AI and automation to enhance this "outer loop," empowering teams to deliver software more swiftly while ensuring robust security and governance throughout the software delivery lifecycle.The Harness Platform, driven by Harness AI and a comprehensive Software Delivery Knowledge Graph, integrates deep context and intelligent automation at every stage of the software delivery process, ensuring governance and policy-driven controls are inherently embedded.In the past year alone, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and 3 trillion secured API calls, managing $2.8 billion in cloud expenditure. Our esteemed customers, including United Airlines, Morningstar, and Choice Hotels, have experienced up to 75% faster release cycles, 60% reductions in cloud costs, and a tenfold increase in DevOps efficiency.With a diverse team spanning 14 offices across 25 countries, Harness is at the forefront of redefining AI software delivery, and we are on the lookout for exceptional talent to help accelerate our journey.Position SummaryAs a Security Engineer on the Security Operations team, you will collaborate across departments to develop and manage security tools and processes. Drawing on extensive expertise in systems, automation, and security, you will oversee technology operations, design solutions, and ensure ongoing compliance on a large scale. In this role, you will lead efforts to enhance visibility into Harness' security posture, automate key security technologies, and drive continuous improvements across our technical infrastructure. Your responsibilities will include designing solutions that align with Harness' security objectives, collaborating closely with engineering teams to meet project goals, and leading cross-team initiatives alongside Engineering and Product. This position offers a unique opportunity to refine existing skills and acquire new ones as the company continues to grow.

What You'll Be DoingJoin Moveworks as a Senior Machine Learning Engineer focused on developing advanced ML infrastructure for deploying and managing Large Language Models (LLMs). This pivotal role involves the design, optimization, and scaling of comprehensive machine learning systems that drive our AI solutions. The ML Infrastructure team is responsible for a range of critical functions, including distributed training and inference pipelines, model evaluation, and latency optimization for LLMs. Our work supports numerous ML and NLP models currently in production, impacting millions of enterprise users. You will tackle real-world challenges related to service scalability and algorithm optimization.Your collaboration with our machine learning team, data infrastructure team, and various cross-functional experts will directly enhance our customers' AI experience. This is an opportunity to play a vital role in the long-term scalability of our core AI product and the success of the company. If you seek a high-impact, fast-paced environment to elevate your career, we want to hear from you!Design, develop, and enhance scalable machine learning infrastructure for training, evaluating, and deploying LLMs.Create abstractions to automate diverse steps in various ML workflows.Collaborate with interdisciplinary teams of engineers, data analysts, machine learning specialists, and product managers to introduce innovative features.Utilize your expertise to promote best practices in machine learning and data engineering.

Join Moveworks as a Staff Machine Learning Engineer in the Agentic Systems team, where you will play a pivotal role in developing cutting-edge AI solutions to enhance user experiences. Your expertise will contribute to building intelligent systems that leverage machine learning to drive efficiency and innovation.As a key member of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize machine learning algorithms that solve real-world problems. You will have the opportunity to work on exciting projects that push the boundaries of what’s possible with AI.

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.