Senior ML Engineer, Recommendations & Personalization

Lyft

San Francisco (CA)

Hybrid

USD 162,800 - 203,500

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
Mental health benefits
401(k) plan with company match
Paid parental leave
Subsidized commuter benefits
Monthly Lyft credits

Job summary

A leading transportation technology company based in San Francisco is seeking a passionate Machine Learning Engineer to develop algorithms for its core services. The role involves working closely with cross-functional teams to drive impactful business solutions through machine learning. The ideal candidate will possess a strong background in machine learning with over 5 years of experience and expertise in Python or Golang, along with excellent communication skills. This hybrid position requires in-office work three days a week.

Qualifications

  • 5+ years of experience in Machine Learning.
  • Strong understanding of various Machine Learning methodologies.
  • Passion for building impactful Machine Learning models.

Responsibilities

  • Partner with teams to apply machine learning solutions.
  • Perform data analysis to explore ML solutions.
  • Develop statistical, machine learning or optimization models.
  • Write production quality code for ML models at scale.
  • Evaluate ML systems against business goals.

Skills

Machine Learning
Python
Golang
Data Analysis
Communication Skills

Education

B.S., M.S., or Ph.D. in Computer Science or related field

Job description

A leading transportation technology company based in San Francisco is seeking a passionate Machine Learning Engineer to develop algorithms for its core services. The role involves working closely with cross-functional teams to drive impactful business solutions through machine learning. The ideal candidate will possess a strong background in machine learning with over 5 years of experience and expertise in Python or Golang, along with excellent communication skills. This hybrid position requires in-office work three days a week.
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