Entry Level Logistics Coordinator Jobs in San Francisco, CA

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Machine Learning Engineer - Delivery Excellence

DoorDash

On-site in San Francisco, California, USA

Full-time

About the Team 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 delivery service quality for DoorDash's three-sided marketplace of consumers, merchants, and dashers. As a fundamental area of investment for DoorDash, Delivery Excellence has among the coolest problems to solve at scale and creates a major impact on the company and our customers. We are looking for Machine Learning E

Electrical Engineer, GS-0850-12

USAJOBS

On-site in Alameda, California, USA

Full-time

Duties This position is an Electrical Engineer, Systems Engineering Section 1 (SES1), within the Engineering Branch of the Long Range Enforcer Product Line (LREPL), Alameda detachment, U.S. Coast Guard Surface Forces Logistics Center (SFLC). Being a Coast Guard civilian makes you a valuable member of the Coast Guard team. - Drafting technical specifications for contracted depot-level maintenance of shipboard electrical and control systems on Coast Guard assets - Deriving subsystem requirements

Machine Learning Engineer - New Verticals

DoorDash

On-site in San Francisco, California, USA

Full-time

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business. About the Role We're looking for a passionate Machine Learning Engineer to join our team. You'll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ra

Staff Software Engineer, Machine Learning - Ads Intelligence

DoorDash

On-site in San Francisco, California, USA

Full-time

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We're looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you'll be conceptualizing, designing, implementing, and validating al

Staff Software Engineer, Machine Learning - Personalization

DoorDash

On-site in San Francisco, California, USA

Full-time

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We're looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you'll be conceptualizing, designing, implementing, and validating al

Senior Software Engineer, Machine Learning - Ads Intelligence

DoorDash

On-site in San Francisco, California, USA

Full-time

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We're looking for a passionate Applied Machine Learning expert to join our team. As a Senior Machine Learning Engineer, you'll be conceptualizing, designing, implementing, and validating a

Senior Software Engineer, Machine Learning - Personalization & Growth

DoorDash

On-site in San Francisco, California, USA

Full-time

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting edge search and information retrieval models that power DoorDash's growing retail and grocery business. About the Role We're looking for a passionate Applied Machine Learning expert to join our team. As a Senior Machine Learning Scientist, you'll be conceptualizing, designing, implementing,

Machine Learning Engineer, Dasher Supply

DoorDash

On-site in San Francisco, California, USA

Full-time

About the Team 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 build the Dasher Acquisition, Mobilization, and Pay systems that power DoorDash's three-sided marketplace of Consumers, Merchants, and Dashers. The Dasher Supply team works to ensure that Doordash is a profitable and reliable way for Dashers to earn money and that the right number of dashers are active at every moment for successf

Senior/ Lead Software Engineer- Backend (Python)

Jobot

On-site in San Francisco, California, USA

Full-time

Senior/ Lead Software Engineer- Backend (Python) with scaling Supply Chain & Logistics Startup This Jobot Job is hosted by: Oliver Belkin Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $165,000 - $210,000 per year A bit about us: We are seeking a highly skilled and motivated Senior/ Lead Software Engineer- Backend (Python) to join our dynamic team. This role calls for a passionate individual who thrives in a fast-paced, innovative, and cha

Senior Applied Machine Learning Engineer - Merchant Menu

DoorDash

On-site in San Francisco, California, USA

Full-time

About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash growing Merchants. About the Role 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 pro

NBCU Local Bay Area - Marketing Sales Internship - Summer 2024, San Francisco, CA

NBC Universal

On-site in San Francisco, California, USA

Full-time

Company Description We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universa

Data Scientist / Senior Data Scientist, Analytics

DoorDash

On-site in San Francisco, California, USA

Full-time

About the Team The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization.Analytics is integral to all operational areas at DoorDash. Please apply here for all non-managerial levels within the following analy

Analytic Modeling Lead

Voyatek

Remote

Full-time

Outcomes. Delivered. Voyatek, formerly GCOM Software and OnCore Consulting, delivers outcome-driven technology solutions to public sector agencies and higher education institutions nationwide. For example, our technology: Facilitates access to nutritious food for children of mothers participating in the WIC programSupports first responders in reducing opioid overdoses within their communitiesEmpowers colleges and universities to identify and thwart financial aid fraudEquips teachers with valuabl

Senior Azure Cloud Engineer -REMOTE

Harte Hanks

Remote

Full-time

Who We Are: Harte Hanks (NASDAQ: HHS) is a leading global customer experience company, headquartered in Chelmsford, MA, whose mission is to partner with clients to provide them with CX strategy, data-driven analytics and actionable insights combined with seamless program execution to better understand, attract, and engage their customers. Using its unparalleled resources and award-winning talent in the areas of Marketing Services, Customer Care, and Fulfillment and Logistics. Harte Hanks has a

Technical Coordinator, Experiential Marketing

Net2Source Inc.

On-site in San Francisco, California, USA

Contract

Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap - Right Talent - Right Time - Right Place - Right Price and acting as a Career Coach to our consultants. Job Title: Technical Coordinator, Experient

Director/Senior Director, Marketing Analytics

DoorDash

On-site in San Francisco, California, USA

Full-time

About the Team The Analytics team is looking for someone to lead our Marketing Analytics team. This role is important for DoorDash to continue driving marketing performance and will be a necessary driver of DoorDash's growth in the United States, Canada, and Australia. You will lead a team that works cross functionally with marketing, strategy and operations, product management, analytics, and senior leadership to drive our business forward. About the Role As the leader of our Marketing Analytic

SAP MM/EWM Manager A&D

Deloitte

On-site in San Francisco, California, USA

Full-time

Industry-leading clients. An award-winning culture. Top notch connections. Big opportunities. From learning to leadership, this is your chance to take your career to the next level. Deloitte can show you what it takes to explore an entire universe of ideas, possibilities, and opportunities-and help make an impact that matters with SAP solutions. Recruiting for this role ends on May 31st, 2024 Work you'll do At Deloitte, you'll work with the best in the business to solve their toughest problems.

Software Engineer I, New Graduate (Graduation Date: Spring 2024-Summer 2024)

DoorDash

On-site in San Francisco, California, USA

Full-time

About the Team DoorDash is building the world's most reliable on-demand logistics engine for delivery! We're looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers. About the Role We are looking for highly motivated college students looking for post-graduation work opportunities to start their career at DoorDash! Our product engineers imp

SAP Procure to Pay (P2P) Architect

SolGenie Technologies, INC

Remote

Full-time, Contract, Third Party

Role: SAP Procure to Pay (P2P) Architect Duration : 1 year Location : Remote Scope of tasks: Candidate MUST HAVE A&D / discrete manufacturing experience. Experience as a Team Lead involving a US deployment of an SAP S/4HANA global design with localization in US geography. Procure-to-Pay (P2P) manages the supplier facing side of the supply chain, including the identification and onboarding of new suppliers, procurement requisition and order management, inbound logistics, inventory management fo

DATASCIENCE ARCHITECT - IBM CPLEX mandatory

SVK Technology Solutions

Remote

Full-time, Third Party

DATASCIENCE ARCHITECT - IBM CPLEX mandatory Location: Remote / Hybrid Project Duration: 2yrs Contract Renewal: Likely Responsibilities: 1. Develop and implement advanced decision optimization models and algorithms to address complex business challenges across various functional areas, including supply chain management, logistics, production planning, and resource allocation. 2. Collaborate closely with cross-functional teams, including data scientists, engineers, business analysts, and domain