Senior Backend Software Engineer - AI/ML Environments

About Bespoke LabsBespoke Labs is a cutting-edge applied AI research laboratory at the forefront of data and reinforcement learning (RL) environment curation. We are dedicated to training and evaluating intelligent agents through innovative methodologies.Recently, we developed Open Thoughts, an exceptional open reasoning dataset now utilized by leading labs, enabling the training of state-of-the-art specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck. We have also successfully taught agents to execute multi-turn tool-calling using reinforcement learning techniques.Bespoke Labs is strategically positioned to capture a significant market share in data curation and RL environment development.About The RoleWe are seeking a Research Engineer to integrate pioneering research with large-scale development and deployment of RL environments. This role will place you at the intersection of research and engineering, collaborating with leading labs and enterprise clients to identify their requirements and transform those insights into systematic environment creation.The ideal candidate will possess both research acumen and execution excellence. You will need to stay abreast of the latest advancements in agent training, effectively communicate with research teams at top labs, and construct robust systems that deliver high-quality environments at scale. You should be equally comfortable with academic literature, prototyping new approaches, and deploying production pipelines.Your collaboration will extend to external partners (frontier labs, enterprise clients) and internal teams, ensuring that our research insights are translated into impactful products that enhance the capabilities of agent training.What You'll DoResearch & CollaborationCollaborate with leading AI labs to comprehend their agent training requirements and design tailored environments.Keep updated with the latest research in RL, agent training, and evaluation methodologies.Prototype innovative approaches for environment generation, curriculum design, and data curation.Convert academic findings into actionable engineering solutions.Environment & Data Pipeline DevelopmentDesign and implement scalable data pipelines for RL environments.Enhance existing systems for performance and reliability.Collaborate with cross-functional teams to deliver integrated solutions.

About Bespoke LabsBespoke Labs is a leading applied AI research lab at the forefront of data and reinforcement learning (RL) environment curation for training and evaluating intelligent agents. We have recently curated Open Thoughts, recognized as one of the premier open reasoning datasets utilized by numerous advanced research labs. Our innovations include the development of state-of-the-art models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck, alongside training agents to effectively perform multi-turn tool calling through reinforcement learning.Bespoke Labs is uniquely positioned to capture a significant market share in the realm of data and RL environment curation.About The RoleWe are seeking an RL Environment Research Engineer to propel our efforts in crafting, assessing, and benchmarking training environments for AI agents. You will devise systematic methodologies for environment design, pinpoint agent failures, and transform those insights into high-quality training data and benchmarks.This position marries research intuition with practical execution. A deep understanding of agent behavior is essential—identifying reward hacking, analyzing failure modes, and discerning why certain environments yield superior training outcomes. You will convert this understanding into repeatable processes and benchmark suites that can be externally showcased.You thrive on both analytical tasks (reviewing agent rollouts, uncovering patterns in failures) and creative endeavors (designing environments, establishing evaluation pipelines). You can oscillate between exploring the science behind effective environments and actually producing them at scale.What You'll DoDevelop systematic strategies and frameworks for creating high-quality RL environments that proficiently train and evaluate agents.Investigate how large language models (LLMs) and agents fail across various task types, identifying patterns that inform superior environment design.Create benchmark environments that assess specific agent capabilities, preparing them for external release on our evaluation platform.Validate environment quality through hands-on testing—training small-scale agents, checking for reward hacking, and scrutinizing training dynamics.

About CreatifyAt Creatify, we are pioneering the first comprehensive AI advertising agent that automates the entire video ad lifecycle—from scripting and avatar-led generation to testing, optimization, and seamless publishing across platforms like Meta, TikTok, YouTube, and more.In a short span of just 18 months, we have achieved over $10 million in annual recurring revenue, catering to over 1.5 million users across more than 10,000 teams. Renowned brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for their personalized, high-performing video ad solutions, all created in mere minutes.With $24 million raised from leading Silicon Valley investors—including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Comcast Ventures, and Creator Ventures—we are on a remarkable growth trajectory. Our innovative approach has garnered attention from major media outlets such as Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.Join our passionate team of AI researchers, engineers, and advertising veterans in Mountain View as we revolutionize the advertising industry with cutting-edge AI technology.

At Study.com, our mission is to unlock the transformative power of education. We develop leading online college credit and test preparation solutions that empower working adults to earn their degrees, enhance their careers, and achieve economic advancement. Recognized by Fast Company and GSV 150 as one of the most innovative education companies globally, we are pioneers in AI-first learning, integrating artificial intelligence with cutting-edge learning science to enhance access and improve outcomes on a large scale.Our impact is reflected in our initiatives, such as Keys to College and Keys to the Classroom, which have collectively saved students over $700 million in tuition, enabling hundreds of thousands of learners to thrive in vital fields including nursing, teaching, counseling, business, and other high-demand professions. We are committed to measurable results and creating products that foster significant, lasting change in individuals’ lives.About the RoleWe are seeking a Senior User Researcher with an AI-first approach to lead and modernize our research team across product development, marketing, and branding, while spearheading the AI transformation within our Research department. This position is tailored for a seasoned, full-stack researcher who possesses expertise in both qualitative and quantitative methodologies, extensive experience in product and marketing research, and the capability to leverage AI to enhance the scale and quality of research at Study.com.You will play a crucial role in guiding our most significant research initiatives in the college credit and professional test preparation sectors, providing the company with strategic and actionable customer insights. Your responsibilities will also include overseeing internal voice of the customer programs, managing contractors, and conducting your own research in high-priority business areas.This position is based in our Mountain View, CA office and requires in-office attendance on Mondays, Wednesdays, and Thursdays.What You’ll DoLead and expand impactful research across product development, brand strategy, and marketing. Independently conduct complex generative and evaluative studies that identify unmet needs, shape product vision, and mitigate risks at scale.Implement advanced AI-driven practices and integrate AI into research workflows to ensure efficiency, quality, and impact. Define what it means to operate AI-natively in research, both internally and for our clients. Stay informed on the latest AI-based research techniques and tools.Identify connections, patterns, and insights across teams, ensuring knowledge is shared to inform decision-making. Collaborate with senior leadership to pinpoint and promote the highest-impact opportunities for research applications.

Join Our Team as an AI Research Engineer!At Creatify, we are at the forefront of revolutionizing the advertising landscape through cutting-edge AI technology. Our innovative platform serves as the world's first end-to-end AI advertising agent, automating every stage of the video ad lifecycle—from crafting scripts and generating engaging avatar-led videos to optimizing and publishing across major platforms like Meta, TikTok, and YouTube.In just a year and a half, we have achieved remarkable growth, surpassing $10 million in ARR and supporting over 1.5 million users across more than 10,000 teams. Esteemed brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for delivering personalized and high-performing video advertisements in record time.With $24 million in funding from prominent Silicon Valley investors, including WndrCo, Kindred Ventures, and Comcast Ventures, we are excited to continue our journey of innovation and excellence in the advertising sector. Our work has garnered attention from leading media outlets like Fast Company, TechCrunch, and Bloomberg TV.We are based in Mountain View, California, and our team consists of dedicated AI researchers, engineers, and advertising experts. We invite you to be part of this transformative journey in the advertising industry through AI.

OverviewWe are seeking a passionate Research Engineer to enhance information literacy through machine learning, with a focus on evaluating the trustworthiness of media content including images, audio, and video. You will explore key concepts such as authenticity, provenance, and context. Your responsibilities will encompass rapid prototyping of machine learning techniques, conducting exploratory data analysis, collaborating with product teams to promote research initiatives, and developing innovative tools and frameworks aimed at expediting research efforts. A notable example of our research is Backstory.About UsAt Google DeepMind, we believe that artificial intelligence can be one of humanity's most significant contributions. Our diverse team of scientists, engineers, and machine learning experts is dedicated to pushing the boundaries of AI technology for the greater good. We prioritize safety and ethics in our work and collaborate on critical challenges to ensure our innovations benefit society.We foster a supportive and inclusive environment that encourages collaboration and knowledge sharing. We aim to challenge conventional limits and inspire each other to exceed our ambitious goals.Your RoleAs a Research Engineer, you will be part of an interdisciplinary team consisting of domain experts, ML researchers, and engineers. You will work on developing systems and tools to evaluate the trustworthiness of media across the internet. Relevant focus areas include media authenticity, context discovery, and open-source intelligence investigations. One of our recent projects is Backstory.Key Responsibilities:Plan and execute rapid prototyping of machine learning techniques for assessing media authenticity.Conduct exploratory analysis to guide experimentation and research directions.Collaborate with product teams to advance our research's development.Create tools, libraries, and frameworks to facilitate and accelerate new research initiatives.Document and present research findings, software developments, and experimental results.

Research Engineer / Scientist, Response Quality/HermesMountain View, CAAt Google DeepMind, we celebrate the diversity of experiences and perspectives, leveraging them to create a transformative impact. We are dedicated to providing equal employment opportunities to all, regardless of sex, race, religion, ethnicity, disability, age, citizenship, marital status, sexual orientation, gender identity, or any other legally protected status. If you require accommodations due to a disability or other needs, please let us know.Team OverviewJoin a visionary team.At Google DeepMind, our multidisciplinary team of engineers and scientists is pivotal in advancing Gemini’s post-training evolution. Our goal is to evolve Gemini from a static answer engine into a dynamic, collaborative AI partner capable of rich, multi-faceted interactions.Our initiatives encompass a comprehensive range of model alignment and interaction design, including:Advanced Modeling Techniques: Innovating and scaling SFT, RL, and Reward Modeling techniques to enhance multi-turn reasoning and collaborative behaviors.Next-Generation Evaluation: Developing autonomous user-agent evaluation methods to emulate complex interactions and measure the quality of human-AI exchanges.Multimodal Response Generation: Enhancing user experience by integrating diverse formats such as images, charts, and interactive widgets beyond traditional text responses.About Google DeepMindArtificial Intelligence is poised to be one of humanity’s most transformative inventions. At Google DeepMind, our team of scientists, engineers, and machine learning experts collaborate to push the boundaries of AI technology. Our commitment to safety and ethics ensures that we prioritize public benefit and scientific discovery in all our endeavors.Role OverviewAs a Research Engineer/Scientist within the Gemini Post-Training team, you'll play a crucial role in bridging the gap between core model alignment and next-gen interactive AI. You will reimagine how Gemini engages, reasons, and collaborates with users through complex, multi-turn exchanges.

About GranicaGranica is an innovative AI research and infrastructure organization dedicated to developing reliable and steerable representations for enterprise data.We build trust through Crunch, a policy-driven health layer that optimizes large tabular datasets to ensure they remain efficient, reliable, and reversible. This foundation enables us to create Large Tabular Models—systems that learn from cross-column and relational structures to provide trustworthy answers and automated processes with inherent provenance and governance.Product Manager - Research, AI Systems & Structured DataLocation: Downtown Mountain View, CA (office-based, five days a week) Team: Research & Applied SystemsThe MissionThe Research team at Granica is pioneering foundational advancements in:Tabular data learning and large tabular modelsStructured and relational representation learningCompression-aware and efficiency-driven AIHybrid symbolic, relational, and neural systemsThe intersection of information theory, learning theory, and large-scale systemsThese initiatives are intricately linked with real production systems that process petabytes of enterprise data.As the Research Product Manager, your role will be pivotal in ensuring the coherence, efficiency, and scalability of this work—bridging people, concepts, computational resources, and systems to transform groundbreaking research into sustainable capabilities.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo's mission focuses on creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. Our Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, we are transforming the transportation landscape across 15+ U.S. states.The DTS team is pivotal in shaping and developing the IT architecture that underpins the commercial operations of Waymo's autonomous fleet. By integrating finance, operations, and IT expertise, the team crafts innovative solutions that ensure Waymo maintains exceptional capabilities across all business processes.In this hybrid role, you will report to a Senior Manager, Supply Chain & GTM Systems.

Join poetiq as an AI Engineer, where you will play a critical role in developing a powerful and scalable platform utilizing advanced foundation models. You will be responsible for architecting a comprehensive system that integrates with large language models (LLMs), overseeing complex multi-step interactions necessary for information extraction and synthesis. You should thrive in building and operating high-performance infrastructures that enable rapid, self-improving reasoning capabilities.You are an ideal candidate if you:Have a deep passion for Python and possess expertise in constructing intricate, agentic systems or multi-step, stateful execution frameworks.Can independently transform both well-defined and abstract concepts, including your own innovative ideas, into tangible solutions.Demonstrate proficiency in designing and building dependable, high-performance infrastructures that heavily interface with external, third-party LLMs—some of which are experimental, while others are widely deployed.Are skilled at creating clean abstractions for complex workflows, particularly in synthesizing fragmented data collected through thousands of parallel, asynchronous queries.Place a high value on code quality, performance evaluation, and developing a stable, scalable platform that supports autonomous research operations.

Join Our Team at MaticMatic is pioneering the future of home robotics, striving to reclaim the 2.5 trillion hours consumed by household chores each year. Our flagship product, the Matic cleaning robot, delivers groundbreaking autonomous navigation and cleaning capabilities through advanced 3D mapping and adaptive path-tracking.With a strong emphasis on privacy, our robots ensure that all data processing occurs locally, safeguarding your home’s information. We aim to evolve home robotics from single-purpose tools to versatile solutions, creating a seamless integration into everyday life.At Matic, we foster a collaborative and driven culture, united in our mission to develop products that enhance the lives of our customers. Our team is committed to tackling complex challenges with innovative solutions.About the RoleWe are on the lookout for a Senior Research Engineer who will spearhead innovative perception research and advance our autonomous robotics platform. This role offers the chance to influence the technical direction of our perception stack while mentoring a passionate team of engineers.The ideal candidate possesses a strong problem-solving mindset and the ability to translate ideas into tangible, market-ready products. We seek detail-oriented innovators ready to push the boundaries of robotic perception technology.Key ResponsibilitiesDrive research projects aimed at addressing intricate perception challenges within dynamic home environments.Design and develop cutting-edge computer vision algorithms that extend beyond existing industry standards.Create novel neural network architectures tailored for edge deployment and real-time processing.Lead the development of advanced 3D geometric vision systems for improved spatial understanding.Establish and optimize robust machine learning infrastructure to support research initiatives.

Join our team at LinkedIn as a Senior Staff AI Engineer focused on Network Growth AI, where you will lead innovative projects that drive the expansion and optimization of our AI-driven networking solutions. This role offers an exciting opportunity to work with cutting-edge technology and collaborate with top industry professionals.

About Contextual AI At Contextual AI, we are at the forefront of transforming the functionality of AI Agents by addressing one of the most significant challenges in artificial intelligence: context. By providing the right context at the right moment, we enhance the precision and scalability that enterprises leveraging AI demand. Our comprehensive enterprise AI development platform bridges the gap between groundbreaking AI research and the practical needs of developers. It empowers AI developers to efficiently ingest and query documents from various enterprise data sources, seamlessly integrating retrieval results into their business processes. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), the core technique that connects foundational models to real-time, relevant information, Contextual AI is supported by visionary venture capitalists. We are not merely participants in the enterprise AI revolution; we are shaping its direction. Join us in crafting a future where AI not only answers inquiries but also revolutionizes business operations. About the Role As a Research-focused Member of Technical Staff, you will engage in pioneering AI research initiatives, contributing significantly to the development of Contextual RAG pipelines, including retrieval systems, language models, and alignment methodologies. Responsibilities Lead research projects in language modeling, retrieval, alignment, retrieval-augmented generation, end-to-end training, and evaluation. Develop and implement scalable infrastructure and tools that facilitate effective research and model development. Continuously review and stay informed about current literature, advancements, and industry best practices. Participate in the entire research pipeline, from ideation and experimentation to analysis and deployment. Publish research findings that contribute novel insights to the field of AI. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field; Master's or PhD preferred. Solid software engineering fundamentals with a proven history of developing complex systems. Deep understanding of core machine learning principles with hands-on experience in language modeling, retrieval, large-scale training, or evaluation. Research experience (academic or industry) is highly advantageous, including knowledge of experimental design, analysis, and research methodologies. Exceptional problem-solving capabilities and the ability to excel in a dynamic research environment.

Join LinkedIn as an AI Engineering Manager for our Notifications AI team, where you will lead innovative projects that shape the future of communication on our platform. In this role, you will spearhead the development of cutting-edge AI technologies, guiding a talented team of engineers to enhance user engagement through intelligent notifications. Your expertise will be crucial in creating scalable solutions that deliver personalized experiences to millions of users globally.

About NewsBreakEstablished in 2015, NewsBreak is a pioneering Content Intelligence platform that is redefining the content economy. With over 40 million monthly active users, our flagship platform provides highly personalized local news and information, driven by advanced AI technologies, recommendation systems, and advertising technology.As 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 addressing significant challenges at scale.Achieving unicorn status in 2021, we are committed to maintaining our high-growth trajectory and building the foundational infrastructure for content intelligence.If you’re driven to dream big, innovate quickly, and make a meaningful impact, we want to hear from you! For more details, visit www.newsbreak.com/aboutAbout the RoleWe are looking for an AI Development Engineer to join our AI and machine learning team. This role emphasizes multimodal machine learning modeling (audio, video, image, text) and the creation of AIGC systems and AI agents.Your responsibilities will involve translating cutting-edge research into scalable, real-world AI systems including virtual humans, text-to-image, and text-to-video generation. You will work closely with research, engineering, and product teams to propel next-generation multimodal and generative AI technologies forward.ResponsibilitiesDesign and develop multimodal ML models for understanding and generating audio, video, image, and text.Create AIGC systems, including virtual humans and text-to-image and text-to-video models.Develop AI agent systems encompassing reasoning, planning, tool usage, and multi-agent collaboration.Transform leading-edge research into scalable, production-ready AI systems.

OverviewAt Google DeepMind, we believe that Artificial Intelligence is one of the most transformative inventions for humanity. Our team comprises scientists, engineers, and machine learning specialists dedicated to advancing cutting-edge AI technologies for the benefit of society and scientific progress, with a strong emphasis on safety and ethical considerations.The Gemini Safety team is responsible for ensuring the safety and fairness of our latest Gemini models. We are seeking a Research Scientist who will leverage data and innovative algorithms to enhance the performance of our user-oriented models. This role demands a fast-paced, highly collaborative work environment where support and teamwork are paramount.About UsGoogle DeepMind is at the forefront of AI innovation, focusing on using our technologies for meaningful public impact and exploring scientific frontiers. We work closely with various partners to tackle significant challenges while prioritizing ethical standards and safety protocols.Position OverviewWe are in search of a dynamic Research Scientist who excels in both exploring novel research inquiries and implementing technical solutions. Our team's mission is to enhance the safety and fairness of state-of-the-art AI models, contributing foundational technology to multiple product areas including Gemini App, Cloud API, and Search.Key Responsibilities:Optimize post-training and instruction tuning of state-of-the-art LLMs across various modalities including text-to-text and image/video/audio-to-text.Investigate data-driven, reasoning, and algorithmic strategies to ensure Gemini Models remain safe, highly effective, and accessible to all users.Enhance Gemini’s resilience against adversarial threats, particularly concerning high-risk abuse scenarios.Develop and uphold high-quality evaluation protocols to identify model behavior gaps and opportunities related to safety and fairness.Create and implement experimental plans to bridge identified gaps or develop new capabilities.Foster innovation and deepen our understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale.

About NuroNuro is pioneering self-driving technology with a vision to make autonomy universally accessible. Established in 2016, we are committed to developing the most scalable driving solution, integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from numerous self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to achieving commercial-scale autonomous vehicles, fostering a safer, more connected future.Role OverviewAs a Lead Machine Learning Research Scientist, you will collaborate with our autonomy teams to address complex perception, prediction, and planning challenges using innovative machine learning techniques. This includes working with foundation models, multi-modal large language models, generative models, out-of-distribution detection, imitation learning, and reinforcement learning. If you thrive on tackling challenging problems and translating solutions into real-world applications, we invite you to join our team!Key ResponsibilitiesResearch and implement cutting-edge machine learning techniques.Address state-of-the-art perception, prediction, and planning issues within our autonomy system.Develop and optimize efficient ML data pipelines.Provide technical leadership and mentorship to a diverse team.Deploy autonomous software solutions on public roads.

Join our dynamic team at LinkedIn as a Senior Staff AI Engineer specializing in Notifications AI. In this pivotal role, you will lead innovative projects that enhance our notification systems, delivering a personalized experience to millions of users globally. Your expertise in artificial intelligence and machine learning will drive the development of intelligent algorithms, improving user engagement and satisfaction.

Join LinkedIn as a Senior AI Engineering Manager, specializing in Video AI. In this pivotal role, you will lead a talented team of engineers and data scientists to develop innovative AI solutions that enhance video content creation and analysis. Your expertise in machine learning and computer vision will drive the design and implementation of cutting-edge algorithms, while your leadership skills will guide the team in achieving project milestones and fostering a collaborative environment.