Research Scientist – Multi-modal Sensing AI

Join Bosch Group as a Research Scientist specializing in Multi-modal Sensing AI. In this exciting role, you will engage in cutting-edge research and development, focusing on innovative AI methodologies that leverage diverse sensing modalities. Collaborate with a dynamic team, contribute to impactful projects, and drive advancements in technology that shape t…

Bosch Group seeks an AI Research Scientist specializing in Generative AI to join its research team in Pittsburgh. The position involves exploring and advancing artificial intelligence and machine learning technologies. Role focus This role centers on the development of new approaches in generative AI, with an eye toward innovations that could influence multiple industries. Work will involve research, experimentation, and collaboration with other experts in the field. Location The position is based in Pittsburgh, where Bosch Group's research team works on a variety of AI initiatives.

Join Bosch Group as a Research Scientist specializing in Cyber-Physical AI & Reasoning. In this role, you will work on cutting-edge research projects that integrate artificial intelligence with physical systems, contributing to innovative solutions that can change industries and improve lives.

Join Duolingo as the Principal Learning Scientist and lead our Efficacy Research initiatives. In this pivotal role, you will leverage your expertise in learning sciences and data analysis to evaluate and enhance the effectiveness of our educational products. You will collaborate with cross-functional teams to design studies that measure learning outcomes and provide actionable insights to drive improvements.

Join Bosch Group as a Research Manager in our Pittsburgh office, where you will lead innovative research initiatives in Multimodal AI. You will play a pivotal role in advancing our AI technologies, collaborating with cross-functional teams, and driving projects from conception to implementation.

About UsAurora Innovation is dedicated to harnessing the transformative power of self-driving technology to create a safer, faster, and more inclusive future for mobility and logistics.Discover The Aurora Driver and be part of a groundbreaking journey that redefines transportation.Join us at Aurora, where you will engage in solving complex challenges alongside a team of bright and passionate professionals, while advancing your expertise in the field. Stay updated with our latest developments by visiting aurora.tech or follow us on LinkedIn.We are seeking a skilled Systems and Safety Engineer to contribute significantly to the evaluation and enhancement of our autonomous vehicle (AV) sensing capabilities. In this impactful role, you will have the chance to define and validate the sensing functionalities of the Aurora Driver, ensuring they exceed human performance standards while maintaining the highest safety levels. Collaborate with our exceptional engineering teams to achieve ambitious product objectives as we navigate the complexities of scaling across various platforms, environments, and technical challenges.

Field AI develops artificial intelligence systems that help robots interpret and interact with their surroundings. The team emphasizes reliable, risk-aware solutions for complex robotics problems. Their technology goes beyond standard data-driven and transformer-based methods, with real-world deployments that improve through continued use. The Summer 2026 Robotics Research Internship in Robot Learning takes place in Pittsburgh, PA. This position is designed for PhD students interested in advancing robot learning, focusing on large-scale learning, foundational models, and robotics applications that extend beyond laboratory settings. What you will do Collaborate with Field AI researchers and engineers to investigate new directions in robot learning and autonomy Develop scalable learning methods that adapt across various tasks and robotic platforms Design experiments and construct learning pipelines Test and validate research on physical robotic systems Contribute to Field AI's autonomy stack, which is deployed in real-world scenarios Who should apply PhD candidates aiming to bridge advanced AI research with practical robotics work Individuals interested in both foundational research and hands-on implementation This internship allows participants to make a tangible impact in robotics through research and real-world experimentation.

Duolingo seeks a Staff AI Research Engineer based in Pittsburgh, PA. This role centers on pushing language learning forward using current AI techniques. What you will do Collaborate with researchers and engineers to design and refine machine learning models for the Duolingo platform. Build, test, and deploy advanced AI solutions aimed at improving how users learn languages. Role focus The position emphasizes hands-on work with modern AI methods to enhance the effectiveness and reach of Duolingo’s language learning tools.

field-ai is hiring a Robotics Research Intern for Summer 2026 in Pittsburgh, PA. This internship centers on robot learning and hands-on research. Role overview Interns will join ongoing research projects in robotics. Collaboration with experienced professionals is a key part of the role, providing exposure to current advancements in the field. What you will do Contribute to research in robot learning Work alongside robotics experts on active projects Support progress in robotics through practical research tasks Location This position is based in Pittsburgh, PA.

Join Duolingo, a leading language-learning platform, as a Staff Product Researcher. In this role, you will collaborate with cross-functional teams to enhance our product offerings through innovative research practices. Your insights will directly influence product development and user experience, ensuring that our solutions meet the needs of our diverse user base.

About Gather AI Are you ready to revolutionize the future of supply chain management? At Gather AI, we are not merely developing software; we are at the forefront of a transformative movement in warehouse intelligence. Our innovative, vision-powered platform harnesses autonomous drones and existing equipment to capture real-time data, digitizing workflows that have traditionally been manual and prone to errors. This advancement allows facilities to operate in a smarter, safer, and more efficient manner, ultimately redefining the standards for 'on-time, in full' delivery. If you're seeking a chance to contribute to groundbreaking technology and significantly impact a critical industry, Gather AI is your destination. We are spearheading the evolution of the robotics field, and we welcome you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team This position collaborates closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product, and Operations. The role encompasses both deep technical work and collaboration with teams that are closest to our customers. As a Principal-level individual contributor, you'll play a pivotal role in shaping our technical direction — influencing decisions rather than merely executing them. About the Role We are in search of a Principal Machine Learning Scientist to elevate the capabilities of our computer vision systems for warehouse inventory scanning. You will engage in the entire ML lifecycle — from research and model architecture to training, deployment, and production monitoring — while focusing on measurable enhancements in detection, segmentation, and OCR accuracy across our drone and MHE Vision products. This role is perfect for an experienced ML practitioner eager to have a principal-level impact on a core product, engage with various deployment targets (cloud, on-prem, embedded), and work with real-world data yielding tangible business outcomes. What You’ll Do Enhance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms. Oversee the full ML lifecycle from research and experiment design through production deployment and monitoring — employing rigorous ablation studies and state-of-the-art methodologies. Collaborate with the ML infrastructure team on optimizing and deploying models across cloud and edge inference targets (ONNX, TensorRT, quantization). Partner with Operations and Product teams to grasp customer needs and translate them into measurable ML improvements with significant business impact. Provide mentorship and guidance to junior team members.

Join Latitude AI, a pioneering force in automated driving technology, where we are committed to revolutionizing the driving experience for everyone. Our team is at the forefront of developing Level 3 automation systems for Ford vehicles, making travel safer, more enjoyable, and less stressful.As a member of Latitude, you'll collaborate with industry-leading experts in machine learning, robotics, cloud infrastructure, mapping, sensor technologies, and safety engineering. Together, we are dedicated to creating a meaningful impact on the driving experiences of millions.As a subsidiary of Ford Motor Company, we operate with the agility of a tech startup, based in Pittsburgh, with engineering hubs in Dearborn, MI, and Palo Alto, CA.Meet Our Team:The Unified Model development team comprises highly skilled professionals specializing in state-of-the-art computer vision and machine learning technologies. We work collaboratively to design advanced detection models capable of interpreting both static and dynamic entities. These models serve various downstream applications in autonomy, such as motion planning and localization.Our focus is on developing efficient, multi-view, multi-sensor deep learning models for tasks like 3D object detection, lane line identification, state estimation, and scene segmentation. Our ultimate objective is to transition these algorithms from research settings to real-world applications, optimizing them for onboard performance as production-grade vision systems.We stay ahead of the curve by continuously engaging with the latest research and pushing the boundaries of what's achievable. Our commitment is to develop pioneering ML algorithms that empower vehicles to interpret their environments in real-time.

At Gray Swan AI, we are at the forefront of safeguarding organizations against emerging threats in artificial intelligence security. Our innovative solutions encompass real-time threat detection, automated validation, and adaptable defenses tailored for AI laboratories and enterprises. With a compact yet dynamic team of around 25 professionals, we are well-funded and experiencing rapid growth.Our strong traction, coupled with a roster of globally recognized clientele, empowers our employees to assume significant responsibilities and gain meaningful equity from day one. We foster a high-ownership culture where you'll tackle challenging problems, act swiftly, and influence both our product and company direction.Many team members are drawn to Gray Swan by the importance of our mission. We are engaged in impactful work within AI safety, and this sense of purpose is a key factor in why engineers and researchers choose to join us.The RoleAs an Enterprise Account Executive at Gray Swan AI, you will be responsible for managing the complete enterprise sales cycle for our highly technical AI safety and security platform. This is not a conventional software sales position. We seek an individual capable of establishing credibility with technical buyers, swiftly understanding complex products, and thriving in a fast-paced startup environment where ownership and initiative are paramount.You will collaborate closely with the founders, engineering, and product teams to convert initial interest into paid pilot programs and long-term deployments. This role combines enterprise selling, technical curiosity, and the agility of a startup, offering substantial autonomy and growth potential.If you are motivated by the prospect of building something significant, working diligently, and closing impactful six-figure deals in a rapidly evolving market, this position may be an excellent match for you.Key Responsibilities:Manage the entire sales process from initial conversation to closure, often beginning with paid pilot programs and scaling to full production deployments.Sell a comprehensive AI safety and security platform, which includes automated adversarial testing/red teaming and runtime defensive solutions for AI systems.Establish credibility with technical and executive stakeholders across AI, security, and engineering departments.Quickly learn and clearly communicate technical concepts, collaborating with internal technical teams to define solutions and address customer inquiries.Engage with buyers in regulated and high-stakes industries such as financial services, healthcare, and insurance.

Credit Genie is seeking an AI Enablement Lead based in Pittsburgh, PA. This position centers on guiding the adoption and integration of artificial intelligence throughout the organization. Role overview The AI Enablement Lead works closely with teams from different departments to spot areas where AI can improve processes or outcomes. The role requires aligning AI initiatives with business objectives and ensuring that technology investments support company goals. Key responsibilities Collaborate with cross-functional groups to identify and prioritize opportunities for AI implementation Shape and execute the overall strategy for adopting AI solutions Oversee AI projects from initial concept to full deployment Share insights on best practices and encourage innovation in AI use What you will bring Success in this role calls for a strategic mindset, strong communication skills, and experience leading technology projects. Familiarity with AI concepts and the ability to work across teams are important for driving change at Credit Genie.

Compensation: $117,300 - $173,060Join Gray Swan AI as a Machine Learning Engineer and contribute to enhancing AI safety solutions. You will engage in impactful research and development, focusing on adversarial testing, model evaluation, and robust inference. Your work will bridge the gap between theoretical research and practical implementation, ensuring AI systems can withstand adversarial challenges.Utilize your expertise in cutting-edge deep learning architectures and distributed systems to tackle complex problems and advance our methodologies for monitoring and analyzing machine learning models in production environments. Collaborate with a dynamic team of professionals dedicated to making a difference in AI security.Be part of a growing company at the forefront of AI safety, where your contributions will shape the future of secure AI systems!

At Gray Swan, we are dedicated to safeguarding organizations from the evolving threats posed by artificial intelligence. Our team of approximately 25 talented professionals is committed to developing cutting-edge solutions for real-time threat detection, automated validation, and adaptive defenses specifically tailored for AI labs and enterprises.As a well-funded and rapidly growing company, we boast a robust client base that includes globally recognized names. This translates into a workplace where every employee is entrusted with significant responsibilities and equity from the outset. You will thrive in a high-ownership environment, tackling complex challenges and playing a pivotal role in shaping both our product offerings and company direction.Many join Gray Swan not just for a job, but for a mission that resonates. Our commitment to impactful work in AI safety drives our engineers and researchers, instilling a profound sense of purpose.The RoleIn your capacity as a Senior Sales Engineer at Gray Swan, you will spearhead technical pre-sales initiatives for our AI security platform. Acting as a trusted technical advisor, you will assist enterprise customers in assessing how to secure, govern, and deploy advanced AI systems effectively in their production environments.You will collaborate closely with Account Executives on complex, high-stakes opportunities, taking ownership of the technical narrative from initial discovery through to closing. This role demands a high level of technical credibility, keen commercial instincts, and the ability to distill complex AI security risks into clear, compelling solutions for both technical and executive audiences.This is a hands-on, client-facing role in dynamic environments where clients are often defining their AI security strategies for the first time.Key Responsibilities:Act as the technical lead on enterprise sales opportunities, collaborating with Account Executives to develop and execute effective deal strategies.Lead technical discovery sessions with customer security, AI, and platform teams to assess architectures, threat models, and operational limitations.Establish technical win strategies that include solution designs, evaluation plans, and success metrics.Serve as a trusted advisor to senior stakeholders throughout the purchasing process.Expertise in AI Security & Solution DevelopmentClearly communicate and demonstrate how the Gray Swan platform identifies vulnerabilities in AI systems and the measures required to mitigate these risks.

About Gray Swan AIAt Gray Swan AI, we are dedicated to safeguarding organizations from the evolving threats in AI security. Our innovative solutions focus on real-time threat detection, automated validation, and adaptive defenses tailored for AI labs and enterprises. With a compact yet skilled team of approximately 25 individuals, we are well-funded and rapidly expanding.Our strong market presence and globally recognized clientele empower our employees with significant responsibilities and meaningful equity from the start. This is a high-ownership environment where you will tackle challenging problems, work swiftly, and contribute to shaping both our products and the company’s future.Many join Gray Swan AI because our mission resonates deeply. We engage in practical, impactful work in AI safety, and this sense of purpose is a key reason why engineers and researchers are drawn to our team.Discover more about our work culture.The RoleWe are seeking a passionate Senior Software Engineer eager to engage in full-cycle development. You will work across the entire stack—frontend, backend APIs, and databases—transforming ideas into tangible products and enhancing existing solutions.While you may not have experience with all the tools we utilize, having a robust full-stack background, the ability to quickly learn new technologies, and the willingness to own your projects without excessive process or oversight is essential. As we are still in our growth phase, individuals who thrive on autonomy, responsibility, and speed will find this opportunity appealing!What You’ll Do:Design and develop web applications utilizing modern frontend frameworks such as Svelte.Create intuitive and user-friendly interfaces that enhance user experience.Develop and maintain backend APIs with tools like FastAPI.Optimize and manage database systems such as MongoDB.Collaborate with our machine learning research team to integrate AI functionalities into our products.Who You Are:Proficient in TypeScript or JavaScript.Experience with frontend frameworks like React, Vue, or Svelte.Strong grasp of HTML and CSS.Hands-on experience in building backend APIs.Familiarity with database systems (SQL or NoSQL; MongoDB experience is a plus).

About Gray Swan AIAt Gray Swan AI, we are dedicated to safeguarding organizations from the rapidly evolving threats posed by artificial intelligence. Our innovative solutions focus on real-time threat detection, automated validation, and adaptive defenses specifically designed for AI laboratories and enterprises. With a compact team of around 25 individuals, we are well-funded and experiencing rapid growth.Our impressive client base includes globally recognized organizations, providing our employees with significant responsibilities and meaningful equity from day one. We foster a high-ownership environment where you will tackle challenging problems, accelerate your projects, and contribute to shaping both our products and the company's direction.Many of our team members are motivated by our mission. We are engaged in practical, high-impact work in AI safety, which is a fundamental reason why engineers and researchers choose to join us.Discover more about our approach.The RoleWe are seeking a dynamic Full Stack Software Engineer who is excited about building comprehensive solutions and isn’t afraid to dive into various aspects of development. You will engage with the entire technology stack—from frontend interfaces to backend APIs and database management—transforming ideas into tangible products and enhancing existing systems.While familiarity with all our tools isn’t mandatory, what matters is your robust full-stack experience, agility in learning new technologies, and comfort in taking ownership of your projects without extensive supervision. As we are in the early stages of our growth, this role suits those who thrive in an autonomous, fast-paced environment.What You’ll Do:Design and create web applications using cutting-edge frontend frameworks like Svelte.Build intuitive and user-friendly interfaces that enhance the user experience.Develop and maintain backend APIs employing tools such as FastAPI.Manage and optimize database systems, with a focus on MongoDB.Collaborate closely with our machine learning research team to weave AI functionalities into our offerings.Who You Are:Proficient in TypeScript or JavaScript.Experienced with frontend frameworks like React, Vue, or Svelte.Strong understanding of HTML and CSS.Hands-on experience developing backend APIs.Familiarity with database systems, both SQL and NoSQL, with MongoDB being a plus.

At Tiger Data, previously known as Timescale, we provide developers and businesses with the fastest PostgreSQL platform tailored for transactional, analytical, and agentic workloads. Trusted by thousands of organizations worldwide, Tiger Data accelerates real-time insights, fosters intelligent applications, and supports critical infrastructure at scale. Our remote-first, globally distributed team emphasizes direct communication, accountability, and collaborative excellence, driving the future of data infrastructure designed for speed, flexibility, and simplicity.At Tiger Data, we are not treating AI as an ancillary project; we are fundamentally reimagining how go-to-market teams function.This role is positioned at the crossroads of RevOps, Sales, Marketing, and Product, directly reporting to the Head of RevOps. It is a builder's role for someone who inherently identifies inefficiencies in the GTM process and instinctively seeks solutions.Previous job titles are not a prerequisite. Many successful individuals in this position have come from adjacent fields (SDR, RevOps, Growth, Engineering) and have self-taught their way to success. The unifying factor among them is intellectual curiosity, creativity, and a propensity for experimentation.You will not receive a completely defined roadmap; however, you will collaborate closely with GTM leaders to pinpoint where your contributions can yield the greatest impact.If you are the type of person who sees a flawed process and thinks, “I could automate that by tonight,” you will thrive in this environment.This position is remote, with a strong preference for candidates located in Pittsburgh or similar US markets.Key Responsibilities:Identify inefficiencies across Sales, Marketing, and RevOps and proactively address them.Design and implement AI-driven workflows, tools, and MVPs (primarily for internal use, occasionally customer-facing).Automate repetitive GTM processes (lead enrichment, outbound personalization, CRM workflows, routing, etc.).Engage in rapid experimentation: transitioning from idea to prototype to live usage in days.Collaborate with various teams to deeply understand challenges and deliver actionable solutions.Serve as an internal thought partner regarding the transformative potential of AI in our GTM approach.Continuously investigate new AI tools, workflows, and concepts, integrating the best into our operations.

Compensation: $194,650 - $235,790About Gray Swan AIAt Gray Swan AI, we are at the forefront of safeguarding organizations against the evolving security threats posed by artificial intelligence. Our mission is to develop cutting-edge solutions for real-time threat detection, automated validation, and adaptive defenses tailored for AI laboratories and enterprises. With a compact yet dynamic team of around 25 professionals, we are well-funded and experiencing rapid growth.The RoleIn the position of Senior Machine Learning Engineer, you will have a crucial impact on the advancement of AI safety solutions. Your work will intertwine research with practical application, as you delve into the complex challenges surrounding AI security—a domain that remains an open frontier. This role involves applied research and system architecture, focusing on developing innovative approaches to adversarial testing, model evaluation, and robust inference, which are critical for the secure deployment of AI systems.Your deep understanding of state-of-the-art deep learning frameworks, distributed systems, and parallel computing will empower you to address the intricacies associated with resource-demanding models. You will enhance our strategies for managing, monitoring, and analyzing these models, ensuring they adhere to the stringent requirements of production environments.Join Gray Swan AI and utilize your profound technical expertise and leadership qualities to make a substantial difference in the realm of AI safety!What You’ll DoSpearhead the design, development, and deployment of sophisticated machine learning models to boost system performance and scalability.Address intricate challenges associated with resource-heavy models using distributed systems and parallel computing.Enhance methodologies for the control, monitoring, and analysis of machine learning models within production settings.Innovate new strategies for adversarial testing, model evaluation, and robust inference.Convert research concepts into scalable AI systems applicable in real-world adversarial contexts.Mentor junior engineers and foster innovation within the team.Collaborate closely with cross-functional teams to ensure that research findings inform production systems effectively.Who You AreEducationBachelor’s degree in Computer Science or a related field.