Senior Applied Machine Learning Engineer, DoorDash
Merchant Menu
$170.6-255.8k
Plus equity
Local food delivery platform
Open for applications
Local food delivery platform
1001+ employees
Open for applications
$170.6-255.8k
Plus equity
1001+ employees
Company mission
To empower local economies by connecting food lovers with great local restaurants
Role
Who you are
- 5+ years of industry experience developing advanced machine learning models with business impact, and shipping ML solutions to production
- Expertise in applied ML for computer vision, NLP, deep learning, embeddings, LLMs. Additional familiarity with experimentation and graph-based models!
- M.S., or PhD. in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields
- Ability to communicate technical details to nontechnical stakeholders
- Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow
- Familiarity with Kotlin/Scala
- You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
- The desire for impact with a growth-minded and collaborative mindset
What the job involves
- We’re looking for a passionate Applied Machine Learning expert to join our team
- In this role, you will utilize our robust data and machine learning infrastructure to build new AI solutions to optimize Merchant menus, the most important properties for both Merchant and Consumers
- You’ll be conceptualizing, designing, and evaluating A/ML solution
- You will be expected to demonstrate a strong command of production-level machine learning, a passion to collaborate with multi-disciplinary teams to lead the strategy and junior team member to execute
- Leverage computer vision, NLP, GenAI, entity resolution, Deep Learning to create the best Consumer facing menus for Merchants
- Lead with engineering and product leaders to build ML-driven product roadmap
- Own the modeling life cycle end-to-end including feature creation, model development and deployement, experimentation, monitoring and explainability, and model maintenance
- Develop production machine learning solutions batch and realtime to provide the world class merchant experience
Otta's take
Theo Margolius
COO of Otta
DoorDash was an early entrant into the last-mile restaurant delivery business, which is now crowded with the likes of Uber Eats, Postmates and GrubHub. They offer restaurants an end-to-end delivery platform, generating new business and access to a network of delivery drivers.
To differentiate itself in the market, DoorDash focused on areas with fewer competitors and found success in this untapped market. Other factors, such as the company's targeting of restaurants which many not typically offer a delivery service, also contribute to its profitability. The company made its stock market debut in 2020 with one of the biggest IPOs of the year.
However, in light of increasing discontent around DoorDash's commission structure from restaurants, competition remains fierce. The business recently responded by publishing a transparent fee structure, but the number of options open to restaurants means DoorDash must fight to keep its customers loyal. Despite this, by focusing on consumer retention, logistics and technology, the company is likely able to maintain its existing growth and revenue.
Insights
Company
Funding (last 2 of 11 rounds)
Jun 2020
$400m
SERIES H
Nov 2019
$100m
SERIES G
Total funding: $2.5bn
Company benefits
- Company stock options
- Work from home stipend
- Unlimited paid time off policy
- Work from home opportunities
- Health insurance
Company values
- We are doers
- We are learners
- We are leaders
- We are one team
Company HQ
Mid-Market, San Francisco, CA
Founders
Tony Xu
(CEO)Tony studied at UCB and worked as a Matrix Partners Associate while studying for an MBA at Stanford. He combined this experience to co-found DoorDash in January 2013, and has served as CEO since June 2013.
Stanley Tang
(CPO)Previously studied Computer Science at Stanford, before working at Facebook as a Software Engineer.
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