Full-Time

Machine Learning Scientist

Posted on 7/9/2024

Samsara

Samsara

1,001-5,000 employees

IoT platform for fleet management and safety

Automotive & Transportation
Enterprise Software
AI & Machine Learning

Compensation Overview

$109.5k - $184kAnnually

+ Bonus + RSUs

Junior, Mid

Remote in USA

Candidates must reside in the US, excluding the San Francisco Bay Area and NYC Metro Area.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Apache Spark
Java
Go
Requirements
  • MS or PhD in Computer Science or a related technical degree.
  • 2+ years of experience as an Applied Scientist, Machine Learning Engineer, or similar role.
  • Strong proficiency in one or more common languages (e.g., Python, C++, Golang, Java).
  • Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch).
  • Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement.
  • Comfortable with full-stack/backend development.
Responsibilities
  • Architect, build, and improve solutions for hybrid cloud-edge ML.
  • Drive zero-to-one new ML initiatives in collaboration with cross-functional partners.
  • Design, develop, and optimize services and system components for training, deploying, serving, and monitoring models.
  • Stay connected to industry and academic research, adopting novel technologies that suit Samsara’s needs.
  • 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.

Samsara provides an integrated platform that enhances safety, efficiency, and sustainability for businesses through Internet of Things (IoT) technology. Their offerings include AI-powered video security, vehicle telematics, and various digital tools that help clients monitor and manage their operations in real-time. The platform is designed for a wide range of industries, including logistics, transportation, construction, and public services. Clients subscribe to access the platform and tools, which help reduce fuel costs, improve route efficiency, and maintain vehicles effectively. Samsara also sells hardware devices that collect and transmit data, and offers an API for custom integrations. A recent partnership with EVgo demonstrates their commitment to sustainability, particularly in supporting the transition to electric vehicles. The goal of Samsara is to provide comprehensive solutions that improve operational management while addressing challenges like labor shortages.

Company Stage

IPO

Total Funding

$904.6M

Headquarters

San Francisco, California

Founded

2015

Growth & Insights
Headcount

6 month growth

1%

1 year growth

3%

2 year growth

1%
Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven predictive maintenance reduces downtime and maintenance costs.
  • Samsara's partnership with EVgo supports the transition to electric vehicles.
  • The demand for integrated IoT platforms is rising, benefiting Samsara's offerings.

What critics are saying

  • Increased competition from companies like Plato Systems in the manufacturing sector.
  • New regulatory challenges from tracking small, high-value assets.
  • Strategic shifts by new CMO Meagen Eisenberg may disrupt customer relationships.

What makes Samsara unique

  • Samsara's Connected Operations Cloud leverages IoT data for actionable insights.
  • The company offers AI-powered video security and vehicle telematics solutions.
  • Samsara's platform supports diverse industries, enhancing safety, efficiency, and sustainability.

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Benefits

Health, dental, and vision coverage for employees and their families with premiums 100% covered

Mental health and wellness support

Family planning resources and parental leave policy

Quarterly reimbursement account you can use for wellness, family care, professional or personal development expenses

Flexible PTO and family leave

401k with up to 4% matching

Bi-annual company events

INACTIVE