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 US-based candidates, offers the opportunity to impact global industries and work with a team focused on innovation and customer success. The role requires 5+ years of experience as an Applied Scientist or similar role, a BS or MS in Computer Science or a quantitative field, and proficiency in various programming languages and ML tools. Samsara offers a competitive compensation package including base salary, bonus, RSUs, 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