Machine Learning Engineer - Hybrid, Real-Time Systems

Gitcode; San Francisco (CA); Hybrid; USD 141,000 - 176,000; Full time

Benefits offered by this job

Medical insurance

Mental health benefits

Family building benefits

Child care & pet benefits

401(k) with company match

Discretionary PTO

Paid parental leave

Subsidized commuter benefits

Lyft credits

Lyft Pink membership

Job summary

Lyft in San Francisco is seeking a Machine Learning Engineer to design, develop, and deploy real-time ML systems. The role emphasizes transitioning research into production and partnering with product, data science, and software teams to solve business challenges.

Candidates typically hold BS/MS in CS or related field with 2+ years of ML experience and strong Python/TensorFlow or PyTorch skills. In-office on a hybrid schedule; 3 days weekly; competitive pay and comprehensive benefits.

Qualifications

• BS/MS in CS or related field; strong academic background favored.
• Advanced degrees can be advantageous for research-focused roles.
• Certifications and a solid project portfolio are beneficial.

Responsibilities

• Design, build, and deploy ML models for real-time applications.
• Create feature pipelines, training workflows, and serving infra.
• Evaluate performance against KPIs, run experiments, iterate.

Skills

2+ years ML experience

Strong communication

Cross-functional collaboration

Education

BS/MS in Computer Science or related field

Tools

TensorFlow

PyTorch

Python

Golang

Job description

Lyft in San Francisco is seeking a Machine Learning Engineer to design, develop, and deploy real-time ML systems. The role emphasizes transitioning research into production and partnering with product, data science, and software teams to solve business challenges.

Candidates typically hold BS/MS in CS or related field with 2+ years of ML experience and strong Python/TensorFlow or PyTorch skills. In-office on a hybrid schedule; 3 days weekly; competitive pay and comprehensive benefits.