This role pays less than
79%
of similar roles. Most pay
$176,000–$249,750
— the shaded band above.
At the midpoint, this role pays about
$169k
versus about
$213k
for comparable roles.
Based on 239 similar postings.
Employer
About DoorDash, Inc
DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.
DoorDash, Inc currently has
238 open roles
on FindRole.
Listed pay typically runs
$131,600–$193,500
across 156 roles with salary data.
As a Machine Learning Engineer at DoorDash’s ETA team, you will play a pivotal role in developing and enhancing the company's real-time delivery estimation models to improve service quality for consumers, merchants, and dashers. Your responsibilities include building deep learning models that provide accurate time predictions, managing the entire modeling lifecycle from feature creation to model maintenance, and exploring new opportunities where ETA can drive business growth. You will work closely with data scientists, engineers, and product managers to tackle complex challenges in a fast-paced startup environment. The ideal candidate has 1+ years of industry experience post-PhD or 3+ years post-M.S., expertise in deep learning frameworks like PyTorch and production tools such as Spark and Airflow, and a strong background in machine learning with a focus on marketplaces. This role offers the chance to make significant impacts at scale within DoorDash’s hyper-growth ecosystem.
Python
TensorFlow
PyTorch
scikit-learn
MATLAB
C++
signal processing
wireless communication
MIMO
OFDM
SDRs
GPU acceleration
embedded machine learning
real-time systems
adaptive modulation
beamforming
cognitive radio techniques
3GPP
IEEE 802.11/15
military waveforms