Senior Applied Scientist

Summary

Join Samsara's ML Science team as a Senior Applied Scientist specializing in multimodal modeling. You will build and improve ML models using petabyte-scale data from various sensors, research cutting-edge technologies, and collaborate with cross-functional teams. This remote position, open to Canadian candidates, offers the opportunity to impact global industries by improving safety, efficiency, and sustainability. You'll work with a team focused on scalable innovation and customer success, leveraging your expertise in machine learning and data analysis. The role requires significant experience in applied science and proficiency in various programming languages and ML tools. Samsara offers a competitive compensation package and benefits.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Competitive total compensation package
• Employee-led remote and flexible working
• Health benefits
• Samsara for Good charity fund