Software Engineer Intern, Advanced Development

Join Luminance, a trailblazer in Legal-Grade™ AI for enterprises, and seize this incredible internship opportunity. Backed by prestigious venture capitalists and recognized in the Forbes AI 50 list as one of the ‘Most Promising Private AI Companies in the World’ as well as in Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is at the forefront of transforming the legal industry worldwide.We are on an ambitious growth trajectory and are continuously seeking bright, passionate individuals eager to contribute to our success. This internship offers you a unique chance to gain hands-on experience as part of our dynamic software engineering team at a fast-paced company. You will immerse yourself in the work from day one, collaborating closely with and being mentored by one of our skilled engineers.

Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Relocation package: AvailableStart date: ASAPLanguages: English (required)About the RolePragmatike is seeking a highly skilled Principal AI/ML Engineer to join a rapidly growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by researchers from MIT CSAIL.In this pivotal role, you will become an integral part of our elite AI engineering team, responsible for architecting, developing, and deploying advanced AI systems utilized by Fortune 500 clients. Your technical expertise will drive the development of essential ML components while collaborating closely with AI researchers, platform engineers, and product teams to ensure the delivery of scalable, production-ready AI solutions.This position is tailored for seasoned AI/ML engineers with a proven track record of building and deploying models in production settings, eager to work at the nexus of research-grade AI and practical systems engineering.Key ResponsibilitiesDesign, construct, train, and refine machine learning and deep learning models for production deploymentLead the successful deployment of ML models into robust, scalable production environmentsArchitect training, inference, and evaluation pipelines for both structured and unstructured datasetsOwn the performance, reliability, scalability, and lifecycle management of ML modelsDrive experimentation, model iteration, and performance benchmarking initiativesImplement and uphold high-quality ML codebases primarily in PythonMonitor, troubleshoot, and enhance live production modelsCollaborate with platform, backend, and infrastructure teams to ensure seamless system integrationContribute to technical direction, architecture decisions, and AI roadmap strategiesMentor junior engineers and foster a culture of technical excellence within the teamDesired QualificationsBachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related discipline7+ years of relevant professional experience in AI/ML, data science, or applied machine learning rolesDemonstrated experience in deploying ML systems in production environmentsStrong proficiency in Python and familiarity with machine learning frameworksExcellent problem-solving skills and a passion for innovation in AI

Join Luminance, the trailblazer in Legal-Grade™ AI for enterprises, and be part of a revolutionary journey in the legal industry. With the backing of esteemed venture capitalists and recognition as one of the 'Most Promising Private AI Companies in the World' by Forbes AI 50, as well as a spot on Inc. 5000’s list of 'Fastest Growing Companies in America', Luminance is transforming the legal landscape globally.We are on the lookout for innovative Software Engineers, Machine Learning Engineers, AI Engineers, or Data Scientists who possess a hacker mentality and a solid foundation in production-grade AI applications. Proficiency with Large Language Models (LLMs) like GPT, Claude, Mistral, etc., is crucial, particularly with experience in agentic environments.With ambitious growth plans ahead, we seek bright, passionate, and driven individuals to help us meet these exciting challenges. From day one, you will be developing features and tools for some of the world’s largest corporations, where speed and quality of execution are paramount.Your role will involve creating AI prototypes that integrate multiple components to effectively address complex tasks in intricate scenarios. You will also be responsible for incorporating cutting-edge agentic technologies (such as memory management and personalization) and transforming your solutions into reusable libraries and frameworks.If this opportunity excites you but your qualifications don’t perfectly match the job description, we still encourage you to apply. Your eagerness to learn and innovate is the most important asset we seek at Luminance!

Role Overview Lila Sciences is seeking a Principal Engineer with expertise in AI Security for its Cambridge, MA office. This senior individual contributor will help define and drive the technical strategy to secure AI applications across the organization. The role involves close collaboration with IT and business teams to ensure AI tools and platforms are implemented safely and in compliance with internal and external requirements. Securing both third-party and in-house AI tools is central to this position. The work will focus on protecting sensitive data, intellectual property, and scientific processes as AI becomes increasingly embedded in Lila's operations. What You Will Do Enterprise AI Security Strategy: Develop and roll out security controls and guidelines for using AI tools throughout the company, covering LLM APIs and SaaS AI platforms. AI Gateway & Agentic Gateway Security: Design and enforce controls for AI gateways, monitoring and managing access to AI systems. Ensure agentic workflows are secured with strong identity and authorization measures. AI Red Teaming & Adversarial Testing: Lead red teaming and adversarial testing efforts to uncover vulnerabilities in AI usage, such as prompt injection and data exfiltration risks. Data Protection for AI Usage: Establish and maintain safeguards to prevent sensitive data exposure through AI systems, with a focus on input/output filtering and secure data management. Multi-Layer AI Security: Integrate AI security practices with the organization's broader security framework, maintaining visibility and control over AI service access and data flows. AI Threat Modeling: Build and maintain threat models tailored to enterprise AI applications, addressing risks like data leaks and unauthorized agent actions. Vendor & Platform Security: Assess and advise on secure integration of third-party AI vendors, with close attention to their data handling practices and model behavior.

Join Engine as a Senior Associate in Community OperationsAt Engine, we empower visionary founders who are tackling the world's most critical challenges in areas such as climate change, health, and advanced technologies. Our commitment includes providing robust support through founder programs, access to shared infrastructure and labs, and the opportunity to connect with a diverse national network of corporate partners, investors, and industry experts.

Role overview Renesas Electronics Corporation seeks a Senior Staff AI Software Development Engineer for its Cambridge office. The position centers on building advanced artificial intelligence solutions and managing software projects from initial concept through to delivery. What you will do Lead projects focused on AI, overseeing both the design and development stages Work closely with colleagues from different teams to deliver technical solutions Play a key part in designing and implementing new technologies in artificial intelligence Location This position is located in Cambridge.

Join our innovative team at Lila Sciences as an AI Lab Research Engineer. In this role, you will contribute to cutting-edge AI research and development, focusing on enhancing the capabilities of our laboratory systems. Your expertise will help drive forward our mission to revolutionize scientific research through artificial intelligence.

The Engine supports Tough Tech entrepreneurs who are developing solutions for major global challenges. As a nonprofit, the organization connects founders with infrastructure, funding, and operational support to help turn breakthrough science and technology into real-world impact. Role overview The Chief Growth Officer (CGO) will lead The Engine through its next phase of growth. This executive shapes partnership strategies, drives revenue initiatives, and works to strengthen the organization’s market position. The CGO also serves as a strategic advisor to the CEO and leadership team, providing input on key organizational decisions. Who should apply Experienced leaders with a background in Tough Tech, either as entrepreneurs or commercial executives Individuals with a track record of scaling organizations and launching first-of-a-kind (FOAK) projects Candidates who have advocated for Tough Tech founders and engaged with the broader ecosystem Location This position is based in Cambridge.

Your Role at Lila SciencesJoin our innovative Physical Sciences division, where you will spearhead the development of intelligent agent-driven systems designed to enhance AI-accelerated and AI-orchestrated process engineering across diverse industrial applications. In this pivotal role, your mission will be to create methodologies empowering AI agents to reason, design, simulate, optimize, and operate complex physical and chemical processes using both traditional and machine learning-driven process engineering tools. You will focus on building agentic infrastructures that facilitate AI systems in planning and executing multi-step process engineering workflows, which include process synthesis, flowsheet generation, steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your contributions will significantly influence how Lila's scientific superintelligence addresses real-world challenges through closed-loop autonomous process engineering.Your ContributionsDesign and implement agentic frameworks supporting comprehensive process engineering workflows, encompassing process setup, simulation, optimization, and analysis.Create AI agents capable of autonomously planning, executing, and refining process engineering tasks utilizing existing tools such as steady-state and dynamic simulators, optimizers, and data systems.Investigate agentic strategies for advanced objectives, including process intensification, control co-design, real-time optimization, and closed-loop learning informed by operational data.Enhance the robustness, interpretability, and reproducibility of agent-driven process engineering workflows; develop internal tools for debugging, observability, validation, and auditability.Collaborate with interdisciplinary teams to apply agentic process engineering across a wide range of industrial applications.

About Us Graphcore stands at the forefront of innovation in Artificial Intelligence computing. We develop cutting-edge hardware, software, and systems infrastructure that unlock the future of AI breakthroughs, driving the widespread adoption of AI solutions across various industries. As a proud member of the SoftBank Group, Graphcore is part of an elite family of companies that are pivotal in shaping transformative technologies with a bold vision: to foster Artificial Super Intelligence and make its advantages accessible to all. Our teams are comprised of individuals from diverse backgrounds, bringing a wide array of skills and perspectives to the table. At Graphcore, we pride ourselves on cultivating a culture of continuous learning and relentless innovation. Job Summary The System Software group includes the Firmware team, Drivers and Utilities team, and the System QA team. We are responsible for enabling all silicon and hardware platforms developed by our colleagues at Graphcore, aiming to produce high-quality software and APIs that empower the wider software team to utilize our products efficiently. The Team The Drivers and Utilities team is dedicated to developing kernel and user-space software, maximizing performance and utility from our unique hardware. We collaborate closely with the software engineering team on the Poplar SDK to support machine learning applications and work alongside silicon and hardware engineers to fully leverage the capabilities of our Graphcore IPU solution. Responsibilities and Duties Write code adhering to Graphcore standards Ensure all code has appropriate unit tests Participate in individual and team code reviews Engage in Scrum ceremonies Conduct manual testing of code written by yourself and others Maintain and troubleshoot our Continuous Integration system Contribute to technical design discussions with team members

Join atialtd as an HR Manager Intern. This internship offers a unique opportunity to gain hands-on experience in human resources management. You will assist in various HR functions, including recruitment, onboarding, employee engagement, and performance management. This is a fantastic chance to learn from experienced professionals in a collaborative environment.

Cambridge Mobile Telematics (CMT) develops technology aimed at making roads safer. The DriveWell® Fusion platform processes data from millions of IoT devices, smartphones, connected cars, and dashcams using AI. Insurers, automakers, and mobility companies use these insights to better understand driver behavior and support safety efforts worldwide. Role overview The Analytics Engineer Intern works closely with both the IoT and Data Engineering teams. The main responsibilities include building data pipelines, developing reliable data models, and creating analytics tools that help teams make informed decisions. AI tools play a key role in the workflow, enabling faster pipeline development and improving data accessibility for stakeholders. This internship supports CMT’s IoT Operations and Product Analytics groups. Projects may include monitoring device performance or analyzing large-scale driver behavior trends. What we look for Strong motivation and technical skills Interest in AI and its practical applications Desire to contribute to safer roads through data-driven work Location Cambridge, MA

Join Redgate Software as a Lead Software EngineerAt Redgate, we develop brilliantly intuitive software solutions that empower data professionals to maximize the value of their databases. Our innovative tools tackle intricate database management issues throughout the DevOps lifecycle, simplifying processes for IT leaders, development teams, and operations by enhancing efficiency, minimizing errors, and safeguarding crucial business data. The data community relies on Redgate for a harmonious blend of rapid deployment, team collaboration, and robust data protection.Learn more about our culture and team:Redgate Software – CultureFlexa CareersGlassdoorRepVueAs our Lead Software Engineer, you will collaborate within a dynamic, cross-functional team, including a Tech Lead, Product Designer, Product Manager, and several software engineers. You will also have the guidance of the Group Engineering Manager and an Architect, who will support you in overcoming challenges and achieving your goals.This role focuses on developing the next generation of AI capabilities aimed at enhancing database administration. You will be instrumental in creating new interfaces and methodologies that cater to the needs of database professionals utilizing agentic AI, while also collaborating with other teams at Redgate to integrate features from their tools into the workflow.Your role will be hands-on, influencing the team's approach to tackling complex engineering challenges. You will oversee the quality of engineering practices within the team and foster the growth of your colleagues. Additionally, you will lead interdisciplinary engineering initiatives and work closely with your architect to guide technical strategy.Beyond technical expertise, a critical aspect of your role is to elevate the entire team through mentoring, coaching, and sharing your knowledge. You will work closely with team leadership to establish and achieve team objectives.

Your Role at Lila Sciences We are in search of a Senior Software Engineer to become a pivotal member of our Applied AI team, contributing to the development of our next-generation AI-powered scientific platform. This position involves designing and refining backend systems, data pipelines, and AI integrations that facilitate intelligent, data-centric applications. You will operate at the crossroads of backend engineering and machine learning, ensuring that our platform scales effectively and supports state-of-the-art applied AI methodologies such as Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration. This opportunity is perfect for individuals who excel at merging software engineering with applied AI, transforming research into production-level systems that foster genuine scientific breakthroughs. If you are driven by the challenge of building high-performing, sophisticated systems that maximize the utility and impact of AI, we would be eager to connect with you! Your Contributions Applied AI Integration: Design and implement backend services and data pipelines that underpin advanced AI applications, including LLMs, RAG, and agentic frameworks. API & Service Development: Create high-performance APIs and microservices that facilitate seamless interactions between AI models, scientific tools, and user-facing applications. Data Pipeline Architecture: Architect and oversee scalable pipelines adept at managing structured, unstructured, and vectorized data for AI/ML workloads. Database & Knowledge Systems: Develop and optimize SQL, NoSQL, and vector databases to ensure low-latency AI retrieval and inference tasks. Cloud & Infrastructure: Utilize AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to construct resilient, production-ready AI platforms. Performance & Reliability: Identify system bottlenecks, optimize for efficiency and speed, and guarantee the reliability and fault-tolerance of AI-driven processes. Collaboration: Work closely with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready solutions.

Location: Cambridge, MA (Eastern Time / UTC -4)Relocation package: AvailableStart date: ASAPLanguages: English (required)About the RoleAt Pragmatike, we're on the lookout for a talented Senior UI / Frontend Engineer to join a dynamic AI startup that has been recognized as one of the Top 10 GenAI Companies by GTM Capital. Founded by esteemed researchers from MIT CSAIL, our team is dedicated to delivering cutting-edge AI solutions.In this role, you will leverage your extensive experience in developing high-quality, high-performance user interfaces tailored for complex, data-rich AI products utilized by Fortune 500 clients. This position is perfect for an engineer who places a premium on User Experience (UX), performance, and sustainable frontend architecture. You will take ownership of features from inception to deployment, collaborating closely with design and backend teams to produce polished, production-ready interfaces that scale effectively.Your ResponsibilitiesDesign and maintain modern, production-ready web interfaces utilizing React and TypeScript.Transform product specifications and design systems into clean, scalable UI components.Oversee the development of complex frontend features, managing everything from implementation to production support.Enhance UI performance for large datasets, real-time updates, and high-traffic dashboards.Work collaboratively with product, design, and backend teams to deliver user-facing features.Establish frontend best practices concerning state management, testing, and code quality.Advance frontend architecture, tooling, and developer experience.Troubleshoot and resolve production UI issues across various browsers and devices.QualificationsMinimum of 5 years of experience as a Frontend / UI Engineer.Demonstrated expertise with React and TypeScript in live production environments.Deep understanding of modern frontend architecture and component-based design principles.Proven experience in creating responsive, accessible, and high-performing user interfaces.Familiarity with frontend build tools, bundlers, and CI/CD processes.Ability to work effectively in a fast-paced, collaborative environment.

Location: Cambridge, MA (Eastern Time / UTC -4)Relocation package: AvailableStart date: ASAPLanguages: English (required)About the RolePragmatike is collaborating with an innovative AI startup, acknowledged as a Top 10 GenAI company by GTM Capital, founded by researchers from MIT CSAIL. We are looking for a Principal Full Stack Engineer specializing in Node.js + React who possesses extensive hands-on expertise in crafting scalable, high-performance web applications that support intricate, data-driven AI solutions utilized by Fortune 500 clients.This position is perfect for those who relish taking ownership of features from inception to completion—encompassing backend architecture and refined frontend delivery. The ideal candidate will be adept at designing APIs, constructing scalable services, developing user-friendly interfaces, and deploying production-ready features at scale.ResponsibilitiesDesign, develop, and maintain scalable full stack applications using Node.js, React, and TypeScript.Architect and create robust backend services, APIs, and data models.Build modern, production-grade web interfaces with React.Own features throughout the entire lifecycle, from technical design and implementation to deployment and production support.Enhance performance across the stack, including frontend rendering, API latency, and database queries.Collaborate closely with product, design, and AI/ML teams to deliver user-centered features.Establish best practices for testing, code quality, observability, and CI/CD processes.Enhance overall system architecture, scalability, and developer experience.Diagnose and resolve production issues spanning both frontend and backend systems.QualificationsMinimum of 5 years of experience as a Full Stack Engineer.Strong expertise in Node.js (including frameworks such as Express, NestJS, or similar).Proficient in React and TypeScript in production settings.Experience designing RESTful APIs and working with databases like PostgreSQL or MongoDB.Solid understanding of modern web architecture and principles of distributed systems.Proven experience in building scalable applications and deploying them effectively.Exceptional problem-solving skills and a passion for technology.

Your Contribution at Lila Sciences Lila Sciences is on the lookout for a dynamic Staff Software Engineer to join our innovative AI Lab Execution System team. In this pivotal role, you will have the opportunity to design, develop, and enhance intelligent, data-driven applications, with a strong emphasis on front-end development. Your focus will include the creation of user interfaces, services, high-performance APIs, and databases, ensuring seamless integration of advanced AI frameworks into our scientific analytics and laboratory workflows. Collaborating closely with ML researchers, platform engineers, and scientists, you will develop systems capable of managing diverse workloads and scaling efficiently. This includes working with structured SQL databases, data lake houses, and vector databases. If you are passionate about creating high-performance, elegant systems that make a real scientific impact, we invite you to apply! Your Responsibilities Include: UI and API Design & Development: Create high-performance, secure, and well-documented user interfaces and APIs that integrate seamlessly with AI-driven applications. Database Design & Management: Develop schemas and manage various data systems (SQL, NoSQL, Vector DBs) to ensure optimal performance and scalability. Application Development: Lead the development of both front-end and backend services, prioritizing performance, maintainability, and reliability. Performance Optimization: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across extensive workloads. Cloud Infrastructure: Utilize AWS services, Kubernetes, and modern DevOps practices to build and deploy scalable production systems. Collaborative Development: Work alongside ML researchers and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

Your Impact at LilaAs an intern in Analytical Chemistry, you will play a vital role in our analytical lab operations. You will be responsible for developing analytical methods, acquiring precise data, and working collaboratively with scientists and engineers to advance the field of autonomous chemistry. Your contributions will directly support closed-loop optimization campaigns, significantly expediting the transition from concept to discovery. This position emphasizes hands-on involvement.What You Will Be DevelopingDesign and implement high-throughput optimization cycles for chemical analysis.Employ Process Analytical Technology (PAT) to monitor reaction progress and final products (solids, liquids, gases), while refining methods for analytical screening.Collaborate with scientists to review and benchmark product profiles, propose subsequent closed-loop cycles, and carry out quality controls, with reporting on findings.Maintain a digital log of experimental conditions, metadata, and outcomes to ensure data integrity for AI-driven analysis.Adhere to Environmental Health and Safety (EHS) protocols when handling reagents, maintaining flow equipment, and calibrating analytical instruments.

Teamwork makes the stream work. Roku is revolutionizing the way the world experiences televisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is dedicated to powering every television globally. We pioneered the streaming experience and are on a mission to connect the entire TV ecosystem. We link consumers to their favorite content, empower publishers to build and monetize vast audiences, and offer advertisers unparalleled opportunities to engage viewers.Your journey at Roku begins with impactful contributions. As a rapidly expanding public company, every team member plays a vital role. Join us in delighting millions of TV streamers worldwide while gaining invaluable experience across diverse fields. About This TeamThe Embedded teams focus on device firmware, platform features, and the integration of system-on-chip (SoC) components, emphasizing reliability, performance, and seamless user experiences across devices and TVs. About the InternshipJoin Roku’s embedded software team as a Software Engineer Intern, where your enthusiasm for technology and creativity will be pivotal to our success. This paid internship lasts for 12 weeks, starting in Summer 2026.As an Embedded Software Engineer Intern, you will tackle a specific project that enhances our embedded stack, such as implementing a new feature, improving performance, or developing automation enhancements to ensure the delivery of high-quality software across devices. Your ResponsibilitiesLead a project in the embedded sphere; possible tasks include implementing a feature, optimizing memory/performance, or creating automated tests for a system module.Utilize C++ on Linux-based systems; employ debugging and analysis tools to reproduce, isolate, and resolve issues.Collaborate with engineers across firmware, platform services, and quality assurance to ensure reliable delivery. Preferred QualificationsCurrently pursuing a degree in Computer Science, Engineering, or a related field.Proficiency in C++ (experience with modern C++ is a significant advantage).Familiarity with development and debugging on Linux-based embedded platforms.