Position title
DoorDash Summer Jobs For 15 Year Olds (WFH, No Experience) $20/Hour
Description
About the Group

The Commercial center group is dealing with testing AI issues including Search, Revelation and Computational promoting to construct extraordinary encounters for every one of our clients, customers, publicists and dashers. Each group inside the organization is dealing with on issues start to finish, claiming the issue from planning phase to conveying the arrangement into creation.

About the Job

As an AI Specialist understudy at DoorDash, you'll deal with handling new difficulties in AI and man-made consciousness. You'll direct research that can be applied across Doordash designing groups and take part in outer coordinated efforts and tutoring, while likewise carrying out groundwork in any of the accompanying regions: Closeout, Game hypothesis, Recommender frameworks, Positioning, AdTech, PC Vision, Causal Deduction, and Enormous information examination.

You're amped up for this open door since you will…
  • Utilize state of the art research in ML/computer based intelligence, NLP, RecSys, Positioning, PC Vision, Causal Surmising, Promotion Tech, Diagram examination to take care of true issues across disclosure, ads,forecasting, satisfaction and search encounters at Doordash.
  • Contribute and execute on research thoughts that can be applied and used to further develop item insight at Doordash.
  • Gather, examine, and combine discoveries from information and utilize these experiences to construct significant ML models.
  • Compose perfect, productive, and reasonable code
We're amped up for you since you…
  • Are pursuing a MS/PhD degree in Software engineering, ML, NLP, Measurements, Data Sciences or related field and are graduating between Fall 2024 and Summer 2025
  • Have a dominance of something like one frameworks dialects (Java, C++, Python, Kotlin, GoLang) or one ML system (Tensorflow, Pytorch, MLFlow)
  • Have insight in research and in tackling scientific issues
  • Are areas of strength for an and cooperative person.
  • Have an enthusiasm for applied ML and the Doordash item
  • Preferably have dealt with distributions in AI, simulated intelligence, information science, information examination, measurements, or related specialized fields
About DoorDash

At DoorDash, our main goal to engage neighborhood economies shapes how our colleagues move rapidly, learn, and repeat to go with effective choices that show sympathy for our scope of clients — from Dashers to shipper accomplices to purchasers. We are an innovation and planned operations organization that began with house to house conveyance, and we are searching for colleagues who can assist us with going from an organization that is known for conveying food to an organization that individuals go to for all possible merchandise.

DoorDash is developing quickly and evolving continually, which offers our colleagues the chance to share their special points of view, tackle new difficulties, and own their vocations. We're focused on supporting representatives' satisfaction, constitution, and by and large prosperity by giving far reaching advantages and advantages including premium medical care, wellbeing cost repayment, paid parental leave and that's just the beginning.

Our Obligation to Variety and Incorporation
  • We're focused on developing and enabling a more comprehensive local area inside our organization, industry, and urban communities. That is the reason we recruit and develop different groups of individuals from all foundations, encounters, and viewpoints. We accept that genuine advancement happens when everybody has space at the table and the devices, assets, and chance to succeed.
  • Articulation of Non-Separation: with regards to our convictions and objectives, no worker or candidate will confront segregation or provocation in light of: race, variety, family, public beginning, religion, age, orientation, conjugal/homegrown accomplice status, sexual direction, orientation personality or articulation, handicap status, or veteran status. Far in excess of separation and provocation in view of "safeguarded classes," we likewise endeavor to forestall other subtler types of unseemly way of behaving (i.e., generalizing) from truly acquiring a traction in our office. Whether unmitigated or stowed away, hindrances to progress have no spot at DoorDash. We esteem a different labor force - individuals who distinguish as ladies, non-paired or orientation non-adjusting, LGBTQIA+, Native American or Local Alaskan, Dark or African American, Hispanic or Latinx, Local Hawaiian or Other Pacific Islander, in an unexpected way abled, overseers and guardians, and veterans are emphatically urged to apply. Much thanks to you to the Level Battleground Foundation for this assertion of non-separation.
Pay
  • The area explicit base compensation range for this position is recorded beneath. Remuneration in different geologies might shift.
  • Genuine remuneration inside the compensation reach will be concluded in view of variables including, however not restricted to, abilities, earlier applicable experience, and explicit work area. For jobs that are accessible to be filled from a distance, base compensation is restricted by representative work area. Kindly talk about your expected work area with your enrollment specialist for more data.
  • DoorDash thinks often about you and your general prosperity, and that is the reason we offer a far reaching benefits bundle, for full-time workers, that incorporates medical care benefits, a 401(k) plan including a business match, present moment and long haul incapacity inclusion, essential extra security, prosperity benefits, took care of time, paid parental leave, and a few paid occasions, among others.
  • Notwithstanding base compensation, the remuneration bundle for this job additionally incorporates amazing open doors for value awards.

Jobs Benefits

  • Health care coverage: DoorDash regularly gives health care coverage inclusion, including clinical, dental, and vision plans, to qualified representatives.
  • 401(k) Retirement Reserve funds Plan: Many organizations, including DoorDash, offer a 401(k) plan to assist workers with putting something aside for retirement. This might incorporate an organization match on commitments.
  • Investment opportunities or Value Awards: A few representatives might be qualified for investment opportunities or value awards, permitting them to partake in the organization\'s prosperity.
  • Adaptable Booking: DoorDash, being a gig economy stage, gives adaptability in work hours to its conveyance drivers and Dashers.
  • Acquired Pay Access (EWA): Some gig stages, including DoorDash, offer the choice for Dashers to get to their profit before their booked payday through procured wage access programs.
  • Reference Rewards: DoorDash might offer reference rewards to representatives who allude new drivers or clients to the stage.
  • Protection for Dashers: DoorDash has presented protection programs for Dashers that might incorporate word related mishap protection and obligation inclusion.
  • Instructive Help: DoorDash might give instructive help or repayment projects to help workers in seeking after additional schooling and expertise advancement.

 

 

Responsibilities
Machine Learning Engineer
Qualifications
Bachelor Degree
Employment Type
Full-time
Experience

3

Education

Bachelor Degree

Job Location
1200 Grand Central Ave, Glendale, CA, 91201, USA
Working Hours
8
Base Salary
$20-$30 Per hour
Date posted
March 28, 2024
Valid through
December 31, 2024
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