Consultant Simulation & Modelling Engineer

Your Impact at Lila Join our dynamic team in the Physical Sciences division as a Senior Machine Learning Engineer. In this pivotal role, you will be instrumental in shaping the infrastructure that empowers Lila’s scientific superintelligence to autonomously design, execute, and interpret intricate physics simulations. Your expertise will be critical in developing core systems that enable AI agents to reason over and control computational experiments, ranging from electronic structure calculations to surrogate-driven atomistic modeling, and beyond. Your contributions will directly enhance the capability of autonomous computational processes to explore chemical and materials landscapes with unmatched autonomy and robustness. What You Will Be Building Architect and implement agentic frameworks to support dynamic, multi-stage simulation workflows for scientific tasks. Develop pipelines that allow agents to autonomously plan, schedule, execute, and interpret computational tasks at scale. Create integration layers and APIs that connect machine learning models, large-scale simulation engines, databases, and heterogeneous compute platforms. Collaborate with AI researchers to productionize agent behaviors, including tool-use strategies, simulation-aware decision loops, and adaptive task planning. Enhance the robustness, modularity, performance, and reproducibility of agent-driven computational workflows; develop internal tooling for debugging, observability, and validation. What You’ll Need to Succeed A Master's degree or PhD in Computer Science, Machine Learning/AI, Scientific Computing, or a related technical field, or equivalent experience. Proven experience in building machine learning-driven pipelines, workflow systems, or tool-use frameworks, particularly for complex or scientific applications. Proficiency in Python and familiarity with machine learning ecosystems; experience with compiled languages such as C++, Rust, or Julia is advantageous. Understanding of large-scale scientific or engineering software, including integrating external tools into automated computational workflows. Background in distributed systems, high-performance computing environments, cloud platforms, or accelerator-based computing. A solid grasp of modern machine learning architectures and their deployment in production systems (e.g., GNNs, transformers, diffusion models, multimodal or tool-using models). Strong engineering fundamentals: reproducibility, testing, modular design, CI/CD, and scalable machine learning operations. Bonus Points For Experience developing or integrating agentic frameworks, autonomous machine learning pipelines, or multi-step tool-using agents, particularly for scientific applications.

Your Role at Lila Sciences Lila Sciences is on the lookout for an experienced Principal Software Engineer specializing in Instrument Simulations. In this pivotal position, you will spearhead the architecture and development of our cutting-edge laboratory automation platform. Your expertise will be crucial in designing the simulation framework and integration layer that links AI-driven experimental design with physical robotic systems, enabling groundbreaking scientific discoveries at an unparalleled scale. Key Responsibilities Design and implement high-fidelity simulation environments that accurately model intricate laboratory instrumentation, fluidics, and robotic processes. Establish and maintain robust integration frameworks between diverse hardware systems, ensuring the safe and reliable execution of fully automated experiments. Lead the development of APIs and interfaces to facilitate seamless interaction between scientists and AI agents with complex automation infrastructures. Champion best practices in hardware-software integration, system monitoring, and continuous integration/deployment (CI/CD) within laboratory automation contexts. Provide mentorship to engineers, likely overseeing a small, agile team.

Join Riverlane as a Senior Software Engineer specializing in modelling, where you will leverage your expertise to develop cutting-edge software solutions. In this role, you will collaborate with a talented team of engineers and scientists to innovate and optimize our modelling capabilities. Your contributions will drive the advancement of technology in a dynamic and supportive environment.

Join Cambridge Mobile Telematics (CMT), the largest telematics service provider globally, dedicated to enhancing road safety and improving driver behavior. Our AI-driven platform, DriveWell Fusion®, integrates sensor data from numerous IoT devices, including smartphones, connected vehicles, and dashcams, to provide actionable insights for auto insurers, automakers, and public safety organizations. With headquarters in Cambridge, MA, and offices across the globe, we are committed to making a difference for millions of drivers every day.As a Principal Machine Learning Engineer on the innovative DriveWell Atlas team, you will lead the charge in developing cutting-edge AI systems leveraging telematics data. You will spearhead projects that involve the design, pre-training, fine-tuning, and deployment of novel foundation models aimed at revolutionizing risk assessment, driver engagement, and claims processing. This role demands a profound understanding of contemporary AI methodologies, machine learning, and sensor data analysis, offering the chance to construct a pioneering large language model from petabyte-scale datasets.We seek a collaborative and inventive Principal Machine Learning Engineer who is driven by a passion for making roads safer and improving driver capabilities.

At Toyota Research Institute (TRI), we are dedicated to enhancing the quality of human life through innovative technology. Our mission is to develop advanced tools and capabilities that enrich the human experience. To spearhead this transformative evolution in mobility, we have assembled a premier team that is at the forefront of advancements in AI, robotics, driving technologies, and materials science.The TeamThe Future Factory team within TRI's Energy and Materials division is committed to pioneering state-of-the-art tools and methodologies that expedite change while enhancing flexibility and efficiency in Toyota's product design and manufacturing processes. Our goal is to accelerate the transition to a zero-emissions future. To accomplish this, we are constructing comprehensive AI systems that can reason about the design and manufacture of physical objects—encompassing geometry, constraints, simulation, and assembly—and creating the engineering infrastructure necessary for training, evaluating, and iterating on these systems at scale.The OpportunityWe are seeking a Senior Research Engineer to collaborate with us in developing the systems and tools that drive our research in physical AI. This role is ideal for candidates with a robust software engineering background, extensive experience in geometry or physical modeling, and a genuine passion for understanding the manufacturing process.As a research engineer on our team, you will design and construct the pipelines and tools that enable researchers to operate swiftly and assess what matters most—ranging from large-scale training and evaluation frameworks to the geometry processing and physics-aware components integral to our models. You will work at the intersection of software engineering and research, translating cutting-edge concepts into reliable, production-ready implementations.

Join Cambridge Mobile Telematics (CMT), the premier telematics service provider dedicated to enhancing safety on roads worldwide. Our AI-powered platform, DriveWell Fusion®, integrates sensor data from millions of IoT devices—such as smartphones, connected vehicles, and dashcams—along with contextual data to provide comprehensive insights into vehicle and driver behavior. Our solutions empower auto insurers, automakers, commercial mobility entities, and public sector organizations to enhance risk assessment, improve safety, streamline claims, and promote driver improvement initiatives. With a global presence, including offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT is committed to safeguarding tens of millions of drivers every day.We are currently seeking a dynamic and innovative Director of ML Engineering, Foundation Models. This pivotal role involves leading the development of our Telematics Foundation Model and its associated variants. You will champion the AI Modeling and AI Operations teams, ensuring a balance between meeting immediate customer needs and advancing long-term research and development goals. Your expertise in machine learning will translate cutting-edge advancements into practical applications across our platform, products, and client solutions.

Join our dynamic team at ttp1, where we are seeking a skilled Electronics Engineer Consultant to provide innovative solutions and expert guidance in the electronics field. As a consultant, you will collaborate with multidisciplinary teams to drive projects from concept to completion, ensuring high-quality outcomes that meet client specifications.

Join our innovative team at ttp1 as an Electronics and RF Engineering Consultant. In this dynamic role, you will leverage your expertise in electronics and radio frequency technologies to drive forward-thinking solutions for our diverse client base. This position is ideal for professionals looking to apply their skills in a collaborative environment that fosters creativity and technical excellence.

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.

We are seeking a talented FPGA Engineer Consultant to join our dynamic team at ttp1. In this role, you will engage with cutting-edge technology and work on innovative projects that challenge your skills and creativity. You will collaborate closely with cross-functional teams to design, develop, and implement FPGA solutions that meet our clients' needs.

Join AECOM as a Principal Water Quality Scientist/Modeller where your expertise will contribute significantly to advancing sustainable water management solutions. In this pivotal role, you will lead projects focused on enhancing water quality, utilizing advanced modeling techniques to drive impactful results.

Join our innovative team as a PhD Mechanical Engineer - Technical Consultant, where you'll leverage your expertise in mechanical engineering to provide cutting-edge solutions in the Health Tech sector. Collaborate with multidisciplinary teams to drive projects that enhance healthcare technologies, ensuring they meet the highest standards of quality and efficiency.

Your Impact at Lila Join our innovative Physical Sciences team as a Research Scientist, where you'll spearhead the development of cutting-edge generative modeling techniques to address significant challenges in materials science. Collaborate with a diverse team of machine learning experts, software engineers, and materials scientists to create and implement generative models tailored to Lila’s distinctive materials design needs. This role not only advances the forefront of scientific research but also allows you to witness the tangible impact of your work on materials being refined in our experimental facilities on a daily basis. What You’ll Be Building Generative Models: Create and deploy generative models, including Diffusion and flow-based models, alongside advanced sampling methods to solve diverse materials design challenges. Data Representation: Innovate architectures and approaches that incorporate physics-informed constraints and domain knowledge to model materials across a wide chemical space for real-world applications. Real-World Validation & Deployment: Develop and verify datasets, frameworks, and methodologies for validating generative models with experimentally realized materials. Collaborate with software engineers and product managers to implement these solutions. Cross-Functional Partnership: Engage with R&D leadership, product managers, and automation specialists to translate scientific inquiries into data requirements and modeling strategies. What You’ll Need to Succeed Proficient in Python and deep learning frameworks with experience in end-to-end workflow deployment. Familiarity with contemporary generative modeling techniques, including diffusion models and geometric deep learning, and their applications in scientific disciplines such as materials science, chemistry, and biology. A foundational understanding of materials science, physics, and chemistry, and the ability to incorporate these principles into generative model design. A self-motivated and independent thinker with keen attention to detail. Demonstrated experience in industry or notable academic achievements. Strong communication and presentation skills, with the ability to convey complex technical information effectively. Aspirations to collaborate with highly skilled teams in a dynamic, entrepreneurial, and technical environment.

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.

Join our dynamic team at mindlance2 as a Consultant, where you will have the opportunity to leverage your expertise to drive impactful solutions for our clients. This role requires a strategic thinker who can analyze complex problems, provide actionable insights, and collaborate effectively with diverse teams.

Join AECOM as a Principal Arboricultural Consultant and lead innovative projects that enhance the natural environment. In this vital role, you will leverage your expertise in arboriculture to provide consulting services to a diverse range of clients. Your contributions will ensure the sustainable management of trees and landscapes, impacting communities positively and promoting biodiversity.This position offers an exciting opportunity to work alongside a team of dedicated professionals committed to delivering high-quality services. As a Principal Arboricultural Consultant, you will be responsible for developing and implementing strategic arboricultural plans, conducting assessments, and leading site visits.

Join aircommunities as a Luxury Leasing Sales Consultant, where your passion for luxury living meets our commitment to exceptional customer service. In this dynamic role, you will engage with potential residents, showcasing our premium living spaces and fostering relationships that lead to successful leases. Your expertise in sales and customer engagement will be pivotal in guiding clients through the leasing process.We are seeking individuals who thrive in a fast-paced environment and have a keen eye for detail. If you are motivated by success and enjoy working with high-end properties, we want to hear from you!

Join our dynamic team at AECOM as a Principal Soils and Agriculture Consultant. In this pivotal role, you will leverage your expertise in soil science and agricultural practices to deliver innovative solutions for a diverse range of projects. You will collaborate with multidisciplinary teams to provide strategic insights and ensure environmental sustainability across projects.

Join our dynamic team at Harvard University as a Senior Human Resources Consultant. In this pivotal role, you will leverage your expertise to enhance our HR strategies and provide valuable guidance across various departments. Collaborate with stakeholders to optimize HR processes and contribute to a thriving organizational culture.