Senior Applied Scientist - Multimodal LLMs

Location: Schiller Park
Posted on: June 23, 2025

Job Description:

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role: The Samsara ML Science team applies and develops cutting-edge technologies that increase the safety, efficiency and sustainability of physical operations. We leverage petabyte scale data from our huge variety of sensors, including video, GPS, IMU, audio, CAN, and more. As a Senior Applied Scientist specializing in multimodal modeling, you will train both powerful and cost-efficient models that leverage these diverse modalities. You will work closely with various engineering teams across ML and firmware, as well as cross functional partners. This is a remote position open to candidates based in the United States. You should apply if: • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. • You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the worlds physical operations. • You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. • You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. • You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together. In this role, you will: • Build and improve ML models, including retraining and optimizing open-source models to solve Samsara-specific problems • Work with petabyte-scale data from Samsara’s cameras and diverse sensors to develop new multimodal models • Research and apply cutting-edge technologies from the latest industry and academic research • Collaborate with cross-functional teams to develop innovative AI products from scratch • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: • 5 years experience as an Applied Scientist, Machine Learning Engineer, or similar role • BS or MS in Computer Science or another quantitative field • Strong proficiency in one or more common languages (e.g., Python, Java, C++, Golang) • Proficiency with common ML tools and frameworks (e.g., PyTorch, TensorFlow, Spark) • Proficiency in pulling your own data via SQL, Spark, or a similar data-querying language • Experience iteratively refining models using customer feedback loops An ideal candidate also has: • Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics) • Experience working with large datasets using distributed computing (e.g., Spark) • Expertise with distributed model training of LLMs / MLLMs • Experience modeling with a variety of data types including sensor data • Experience leading a small cross-functional team to deliver new ML experiences

Keywords: , Glenview , Senior Applied Scientist - Multimodal LLMs, Engineering , Schiller Park, Illinois