About TruckSmarter
Logistics is one of the single largest industries in the world. Globally, logistics is an $8-$12 trillion dollar industry and in the US alone, ~$2 trillion, representing ~10% of GDP. A single percent of improvement drives profound change to every corner of the world—from the cost of our goods, to the livelihoods of local communities, to even the impact on our environment. To reshape the industry, at TruckSmarter, our focus is first on truck drivers. Trucks move 71% of freight in America (~$800bn annually) & the trucking industry represents nearly 6% of the full-time jobs in the country. If you look around you, every item has sat on a truck at one point on its journey to you. However, despite the industry being one of the greatest levers of innovation throughout history, it is still deeply fragmented & structurally misaligned. Our mission is to fix that—and we need your help.
The Role
As our first Senior Machine Learning Engineer, you will be responsible for building machine learning models, the corresponding data pipelines and the local and production training and inference systems for our core product and operational workflows. You will work closely with designers, operations team, and other engineers driving the technical design, implementation and scale up.
Working model: TruckSmarter offers an in-office collaborative culture. This role is based out of our downtown San Francisco office, and requires in-office presence three days per week (typically Mondays, Wednesdays, and Fridays).
What Excites You
Define the AI/ML roadmap enabling Agentic AI as well as the traditional AI/ML models for identity verification, fraud detection, underwriting and dispatch products.
Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch.
Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale.
Investigate, prototype and deliver innovative solutions.
Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth.
Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics.
What Excites Us
Master’s or PhD degree in Computer Science or a related field.
5+ years of experience with designing, building and scaling ML Training and real-time Inferencing systems.
Proficiency in Python with experience using machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch.
Prior experience using LLMs to build AI agents.
Excellent written and oral communication skills and the capability to drive cross-functional requirements with business, product, operations and engineering teams.
What Success Looks Like
Build an Agentic AI architecture incorporating reasoning, decisioning, and actioning in our products.
Build, monitor and update the AI agents used to perform different operations.
Establish the auto-evaluation and monitoring frameworks for AI agents and AI/ML models.
Find the right balance in the usage of regular code, traditional AI/ML models and LLM agents at each stage of product scale.
Use TruckSmarter’s proprietary and other third party data to build our first machine learning models to predict the likelihood of fraud, and underwrite credit for businesses to keep our NPAs very low.
Establish the data pipelines for offline training and real-time inference.
We Offer
Health, Dental & Vision Plans
Competitive Pay
401k
Unlimited PTO
Lunch + dinner daily
Commuter benefits
We would love to have you be a part of something special, and are excited to review your application.