Senior Applied Scientist - Edge ML & CV for Connected Ops

Aimlroles

Northern (KY)

Hybrid

USD 170,000 - 319,000

Full time

14 days+
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Benefits offered by this job

Remote-friendly model
Professional development stipend
Health and parental leave
Equity/RSU opportunities

Job summary

Samsara is seeking an applied scientist to join the Machine Learning / Computer Vision team. You will generate insights from customer interactions and sensor data to improve safety, efficiency and product outcomes for our Connected Operations Cloud.

The role is fully remote for US residents, with travel up to 5%. Base salary range is publicly listed with RSU opportunities; relocation is not offered at this time.

Qualifications

  • BS/MS in CS or similar with 5+ years in Applied Scientist/ML Engineer/CV roles
  • PhD in CS or quantitative field with 3+ years in CV
  • Strong proficiency in languages (C++, Go, Java, Python)
  • Proficiency with Spark, TensorFlow, PyTorch
  • Familiarity with managing data processing and ML code via GitHub
  • Excellent problem-solving and collaborative skills

Responsibilities

  • Build and improve the accuracy of ML/CV models, including retraining and optimization
  • Work with petabyte-scale sensor data to develop new models
  • Optimize models for inference on backend and edge devices
  • Collaborate with firmware and full-stack teams to deploy models
  • Stay connected to research to adopt novel technologies
  • Translate customer needs into ML/CV solutions with product teams
  • Embodiment of Samsara’s cultural principles as we scale globally

Skills

C++
Golang
Java
Python
Problem-solving

Education

BS/MS in Computer Science or technical degree
PhD in CS or quantitative field

Tools

Spark
TensorFlow
PyTorch
GitHub

Job description

Samsara is seeking an applied scientist to join the Machine Learning / Computer Vision team. You will generate insights from customer interactions and sensor data to improve safety, efficiency and product outcomes for our Connected Operations Cloud.

The role is fully remote for US residents, with travel up to 5%. Base salary range is publicly listed with RSU opportunities; relocation is not offered at this time.

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