CloudTrucks
Senior Machine Learning Engineer
CloudTrucks, San Francisco, California, United States, 94199
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.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.
Compensation Range
$160K - $250K
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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.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.
Compensation Range
$160K - $250K
#J-18808-Ljbffr