Realtime ML Engineer for Fulfillment Platform

JobCubby

New York, Northern (NY, KY)

Hybrid

USD 141,000 - 176,000

Full time

6 days ago

Be an early applicant

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Benefits offered by this job

Great healthcare options

401(k) with company match

Paid time off

Lyft credits

Hybrid in-office schedule

Parental leave

Job summary

Lyft is seeking a Machine Learning Engineer to join the Fulfillment team within Marketplace. You will design, implement, and deploy state-of-the-art ML models to optimize ride fulfillment, inventory offers, and rider-driver matching.

You will translate research into production, build robust pipelines, and work with cross-functional teams to drive business outcomes. The role emphasizes scalable systems, Python/Golang proficiency, and deep learning experience for recommender-style solutions.

Qualifications

2+ years of experience in machine learning modeling or related fields.
Experience with deep learning technologies for recommendation systems.
Understanding of statistical concepts and evaluation metrics for ML.
Proficiency in Python, Golang, or other programming languages.

Responsibilities

Design, build, and deploy ML models for real-time applications.
Design and implement feature pipelines and training workflows.
Evaluate ML system performance against KPIs and run experiments.
Collaborate with ML engineers, data scientists, product managers, and software engineers to align initiatives.