
About Samsara
Transforming physical operations with IoT technology
Key Highlights
- Public company following an $805M IPO
- Raised $930M in funding across multiple rounds
- Serves thousands of customers including Penske and Sysco
- Headquartered in San Francisco, CA with 1001+ employees
Samsara is a leading IoT company headquartered in the Design District of San Francisco, CA, specializing in digitizing physical operations across various industries, including transportation, logistics, and construction. With over 1,000 employees and a successful $805 million IPO, Samsara has raised...
🎁 Benefits
Samsara offers competitive salaries, equity options, generous PTO policies, remote work flexibility, and comprehensive health benefits, including pare...
🌟 Culture
Samsara fosters a culture focused on innovation and technology, aiming to transform underserved operational sectors with IoT and AI solutions. The com...
Skills & Technologies
Overview
Samsara is hiring a Senior Machine Learning Engineer to develop ML solutions that enhance safety, efficiency, and sustainability in physical operations. You'll work with Python, TensorFlow, and PyTorch to build end-to-end ML applications. This role is remote for candidates based in Canada.
Job Description
Who you are
You have 5+ years of experience in machine learning and software engineering, with a strong foundation in developing and deploying machine learning models. Your expertise in Python is complemented by your proficiency in frameworks such as TensorFlow and PyTorch, allowing you to build robust ML applications that drive business impact. You are comfortable collaborating with cross-functional teams, including full-stack engineers and firmware developers, to deliver integrated solutions that meet user needs. You understand the importance of data quality and have experience in feature engineering, model training, and evaluation. You are passionate about leveraging technology to improve operational efficiency and sustainability in various industries.
Desirable
Experience with cloud platforms like AWS or GCP is a plus, as is familiarity with MLOps practices for deploying and monitoring machine learning models in production. You have a keen interest in the Internet of Things (IoT) and how it can be harnessed to create actionable insights from data. You are a proactive problem solver who enjoys tackling complex challenges and continuously learning about new technologies and methodologies in the machine learning space.
What you'll do
As a Senior Machine Learning Engineer at Samsara, you will be responsible for designing and implementing machine learning solutions that enhance the safety and efficiency of physical operations. You will collaborate closely with various engineering teams to develop end-to-end ML applications that integrate seamlessly with our product offerings. Your role will involve analyzing large datasets to extract meaningful insights and improve our algorithms' performance. You will also be tasked with optimizing existing models and ensuring they are scalable and maintainable in production environments. Additionally, you will participate in code reviews and contribute to the overall architecture of our ML infrastructure, ensuring best practices are followed.
You will have the opportunity to mentor junior engineers and share your knowledge of machine learning techniques and tools. Your contributions will directly impact the development of innovative solutions that help our customers achieve their operational goals. You will stay updated on the latest advancements in machine learning and IoT, applying this knowledge to enhance our product capabilities and drive continuous improvement.
What we offer
At Samsara, we offer a collaborative and inclusive work environment where you can make a meaningful impact. As a remote position, you will have the flexibility to work from anywhere in Canada while being part of a dynamic team that values innovation and creativity. We provide competitive compensation and benefits, including opportunities for professional development and growth within the company. Join us in shaping the future of physical operations and making a difference in industries that are critical to our global economy.
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