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Home›Jobs›Samsara›Senior Machine Learning Engineer
Samsara

About Samsara

Transforming physical operations with IoT technology

🏢 Tech👥 1001+ employees📍 Design District, San Francisco, CA💰 $930m⭐ 4.5
B2BEnterpriseBig dataInternet of ThingsElectric VehiclesSupply ChainSaaSCloud Computing

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...

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Samsara

Senior Machine Learning Engineer

Samsara • Remote - US

Posted 1w ago🏠 RemoteSeniorMachine learning engineer📍 United states
Apply Now →

Skills & Technologies

PythonTensorFlowKerasAWSDockerSQL

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 AWS in a fully remote role based in the US.

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 ML models. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build robust ML applications that drive business impact. You are comfortable working with cloud platforms such as AWS, and you understand the intricacies of deploying models in production environments. Your experience with Docker and containerization technologies enables you to create scalable and maintainable ML solutions. You have a solid understanding of SQL and data management, which helps you effectively handle and analyze large datasets. You thrive in collaborative environments, working closely with cross-functional teams to deliver impactful solutions. We encourage you to apply even if your experience doesn't match every requirement.

Desirable

Experience with real-time data processing and IoT applications is a plus, as is familiarity with MLOps practices for model monitoring and optimization. Knowledge of additional programming languages such as R or Julia can also be beneficial.

What you'll do

As a Senior Machine Learning Engineer at Samsara, you will be responsible for designing and implementing end-to-end ML solutions that enhance the safety and efficiency of physical operations. You will collaborate with various engineering teams, including full-stack and firmware engineers, to integrate ML capabilities into our product offerings. Your role will involve developing algorithms that analyze IoT data, providing actionable insights to our customers. You will also work on optimizing existing ML models and infrastructure, ensuring they perform efficiently at scale. You will participate in code reviews and contribute to best practices in ML development, fostering a culture of continuous improvement within the team. Your contributions will directly impact the success of our product pillars, including Video-Based Safety and Vehicle Telematics.

What we offer

At Samsara, we offer a dynamic and inclusive work environment where you can make a meaningful impact. You will have the autonomy to drive your projects and the support of a talented team. We provide competitive compensation and benefits, including flexible work arrangements and opportunities for professional growth. Join us in shaping the future of physical operations and making a difference in industries that power our global economy.

Interested in this role?

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