Machine Learning Engineer (Mid-Level to Senior)

San Francisco, CA, United States

Job Description

The trucking industry is the backbone of the global economy. More than 70% of what we consume in the U.S. is moved by trucks. Those trucks are powered by over 3.5 million drivers per year and create over $700B in annual revenue. Trucking is a massive industry but it is a traditional industry and like many traditional industries, it is ripe for innovation.

CloudTrucks is building the operating system for trucking and is the first platform specifically designed to empower truck drivers. Our all-in-one, "business in a box" solution optimizes and automates operations and accelerates cash-flow for drivers, so they can focus on building their business.

The Marketplace team at CloudTrucks tackles complex challenges with smart solutions in market prediction, pricing, and route optimization. We utilize data from myriad sources, including IoT, supply and demand-side financial & market transactions, economic time series, and user behavior streams. Given our unique position in the market at the intersection of shippers, carrier, and brokers our goal is to help drivers maximize profit and quality of life through the power of machine learning and AI.

As an ML Engineer, you will own ML models and algorithms end-to-end for solving customer problems. You will also lead architecture decisions and guide technical strategy towards innovative and pragmatic solutions which bias us towards a superlative customer experience.

How We Use ML at CloudTrucks

Dispatch AI - Drivers are always focused on delivering their next load but the optimal dispatch schedule has to take into account not just the next stop but also the likely future stops the next stop will lead to. Dispatch AI is an automated system we've developed to leverage our internal market data and forecasting models to help drivers earn the most money on the optimal route.

Prospector - In order to prosper in the competitive freight market our drivers need the best loads at the best prices. Prospector, our "bidbot", identifies and bids on ideal loads available in load auctions. It uses various supply and demand models to generate bid prices ensuring we win the correct auctions to provide our drivers with more lucrative opportunities.

Personalized Load Scoring - Every driver is unique and has their own preferences. We developed a personalized load scoring model based on driver booking histories to help us determine which drivers will prefer which loads. We use our personalized scoring in various features including sorting search results and identifying recommended loads for push notification.

Responsibilities

Design, implement, iterate, and manage ML models and algorithms end-to-end to solve customer problems

Design, grow and operate our machine learning architecture prioritizing ease of use and automation

Make judicious build vs buy decisions for our current modeling needs while preparing for 10x data volume as we rapidly scale

Promote operational best practices for non-ML data products

What we are looking for

Strong technical background, including 4+ years of industry experience as an ML Engineer working on production systems

Self-motivated and comfortable operating in a dynamic environment with a strong sense of ownership and an ability to drive a project from start to finish

Takes a user-focused approach, shipping incrementally with rapid iterations

Strong communication and collaboration skills. As a small engineering team, we work closely with each other and other cross functional teams across the company

Experience with ML solutions, data analysis technologies, and system design

Nice to haves

Data engineering experience

Experience with our technical stack: Vertex AI, Qwak, LLMs, Airflow, Python, PostgreSQL, Google Cloud, Django

A bit about our culture

We value high autonomy, ownership, and delivering results - in short - whatever it takes to set our customers up for success. We encourage each other to push the envelope, execute quickly, and be resilient to failure. We also work occasional late nights or weekends to deliver an above-and-beyond customer experience, while respecting and celebrating each other's personal background, values and commitments. In return, we are well compensated, take pride in seeing outsized impact to our product, and have memorable experiences learning and growing alongside a truly exceptional set of peers.

About CloudTrucks

CloudTrucks is a virtual trucking carrier in the multi-billion dollar trucking space. Core to this industry are over 3.5M truck drivers. They move more than 70% of all goods transported around the U.S., yet operate in a highly fragmented industry with huge opportunities for products, services and automation. We strive to deliver solutions that help truck drivers operate with much greater efficiency, increase their revenue, and offload business complexity. We are looking for uniquely exceptional people to join us on our journey as we massively scale into an industry-defining business.

We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.