Ingeniero de aprendizaje automático, Plataforma de previsión
Solicitar empleoJob ID: 2728442
DoorDash, Inc.
Sunnyvale, California; San Francisco, California; Seattle, Washington
Acerca del equipo
Come help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform provides a unique opportunity to have a broad impact on the business ensuring we can quickly respond to a rapidly changing operational environment. The team supports projects across all of our major pillars (e.g. supply / demand, auto-scaling infrastructure, support optimization) as well as the development of an internal decision platform for time series.
Acerca del puesto
As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.
Le entusiasma esta oportunidad porque...
- Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotions
- Own the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance
- Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilities
- Research new tools within the Forecasting space (e.g. TimeGPT, LLM extensions)
- You can find out more on our ML blog post here
Estamos entusiasmados contigo porque...
- High-energy and confident — 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
- You’re an owner — driven, focused, and quick to take ownership of your work
- Humble — you’re willing to jump in and you’re open to feedback
- Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!
- Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
- Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team
Experience
- M.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in production
- Demonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etc
- Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting
- Experience of shipping production-grade ML models and optimization systems
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
Compensación
The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.
In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.
DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees that includes a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays.
Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, disability and basic life insurance, family-forming assistance, a commuter benefit match, and a mental health program, among others.
To learn more about our benefits, visit our careers page here.
The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.
Acerca de DoorDash
En DoorDash, nuestra misión de potenciar las economías locales determina la forma en que los miembros de nuestro equipo se mueven con rapidez, aprenden y reiteran para tomar decisiones impactantes que muestren empatía por nuestra gama de usuarios, desde Dashers hasta socios comerciales y consumidores. Somos una empresa de tecnología y logística que comenzó con la entrega puerta a puerta, y estamos buscando miembros del equipo que puedan ayudarnos a pasar de ser una empresa conocida por la entrega de alimentos a una empresa a la que la gente recurre para cualquier y todos los bienes.
DoorDash está creciendo rápidamente y cambiando constantemente, lo que da a los miembros de nuestro equipo la oportunidad de compartir sus perspectivas únicas, resolver nuevos retos y ser dueños de sus carreras. Nos comprometemos a apoyar la felicidad, la salud y el bienestar general de nuestros empleados ofreciéndoles prestaciones y beneficios integrales, como asistencia sanitaria de primera calidad, reembolso de gastos de bienestar, baja parental retribuida y mucho más.
Nuestro compromiso con la diversidad y la integración
Estamos comprometidos con el crecimiento y la potenciación de una comunidad más inclusiva dentro de nuestra empresa, nuestro sector y nuestras ciudades. Por eso contratamos y cultivamos equipos diversos de personas de todos los orígenes, experiencias y perspectivas. Creemos que la verdadera innovación se produce cuando todo el mundo tiene sitio en la mesa y dispone de las herramientas, los recursos y las oportunidades para destacar.
Declaración de no discriminación: En consonancia con nuestras creencias y objetivos, ningún empleado o candidato será objeto de discriminación o acoso por motivos de raza, color, ascendencia, nacionalidad, religión, edad, sexo, estado civil o pareja de hecho, orientación sexual, identidad o expresión de género, discapacidad o condición de veterano. Más allá de la discriminación y el acoso basados en "categorías protegidas", también nos esforzamos por evitar que otras formas más sutiles de comportamiento inadecuado (por ejemplo, los estereotipos) se impongan en nuestra oficina. Ya sean evidentes u ocultas, las barreras al éxito no tienen cabida en DoorDash. Valoramos la diversidad de la plantilla: animamos a las personas que se identifican como mujeres, personas no binarias o que no se ajustan al género, LGBTQIA+, indios americanos o nativos de Alaska, negros o afroamericanos, hispanos o latinos, nativos de Hawai u otras islas del Pacífico, personas con discapacidades diferentes, cuidadores y padres, y veteranos a que presenten su candidatura. Gracias al Level Playing Field Institute por esta declaración de no discriminación.
De conformidad con la Fair Chance Ordinance de San Francisco, la Fair Chance Initiative for Hiring Ordinance de Los Ángeles y cualquier otra normativa de contratación estatal o local, tendremos en cuenta para el empleo a cualquier solicitante cualificado, incluidos aquellos con antecedentes de arrestos y condenas, de forma coherente con la normativa aplicable.
Si necesita alguna adaptación, informe a su contacto de contratación en el momento de la conexión inicial.
Trabajo flexible
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