Job Description
A Machine Learning Engineer at Samsara develops and deploys scalable ML and AI solutions to enhance the safety, efficiency, and sustainability of physical operations across various industries, working closely with cross-functional teams to build innovative products and infrastructure.
Key Responsibilities
- Design and build ML infrastructure for batch and real-time models used in customer-facing products
- Lead zero-to-one ML AI initiatives to develop new products from scratch
- Bridge the gap between ML scientists and engineering teams to enable successful cross-functional projects
- Develop and enhance inference capabilities, improving scalability and efficiency of ML platforms
Requirements
- Minimum of 5 years experience as a Machine Learning Engineer, Applied Scientist, or similar role.
- Bachelor's degree (BS) or Master's degree (MS) in Computer Science or another quantitative field.
- Strong proficiency in one or more common programming languages such as Python, Java, C++, or Golang.
- Proficiency with common ML tools and frameworks such as PyTorch, TensorFlow, and Spark.
- A working understanding of the algorithms used to develop ML solutions.
- Proven experience with the end-to-end development of ML applications.
- Experience leading a small cross-functional team to deliver new ML experiences (preferred but not explicitly mandatory).
- Experience building zero-to-one ML applications.
Benefits & Perks
Competitive total compensation package including base salary, bonus, and equity (RSUs)
Remote and flexible working options
Health benefits
Inclusive work environment with accommodations for persons with disabilities
Opportunities for professional growth and learning
Collaborative team environment
Potential for above-market equity refresh awards for top performers
Ready to Apply?
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