Senior Machine Learning Engineer, TruckSmarter
$180-230k
Offers Equity
More information about location
3 days a week in office
All-in-one platform serving truck drivers
Be an early applicant
All-in-one platform serving truck drivers
21-100 employees
Be an early applicant
$180-230k
Offers Equity
More information about location
3 days a week in office
21-100 employees
Company mission
To empower truck driver's lives and by doing so, build the future of the industry.
Role
Who you are
- 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, C/C++ with experience using machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch
- Have a track records of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
- Excellent written and oral communication skills and the capability to drive cross-functional requirements with business, operations and engineering teams
What the job involves
- 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
- Define the AI/ML roadmap for identity verification, fraud detection, business analytics, and cashflow projections
- 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 Success Looks Like:
- 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
Our take
The massive rise in eCommerce means that truck drivers are at an all-time demand, but the trucking industry massively lags behind many others in technological advancements. TruckSmarter delivers a free platform that allows truckers, carriers, and dispatchers to search and book loads, streamlining the entire trucking process.
The trucking industry has been historically fragmented, with truckers wasting countless hours searching for their next gig, followed by more time waiting to be loaded or unloaded – which can be very detrimental to truckers who are often paid per mile. Trucksmarter digital trucking platform addresses all these problems. It stands out from the competition by being a free-to-use service. It makes its revenue by offering truckers same-day payments for each load, in exchange for a small percentage of their fee, rather than charging to use the load board itself.
TruckSmarter has raised an impressive amount of funding from top investors and names in the industry, showing respect for and interest in its solution. The investment will be used to add more finance and banking tools to the company’s driver ecosystem.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
70% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Sep 2022
$25m
SERIES B
Apr 2022
$25m
SERIES B
Total funding: $69m
Company benefits
- 100% of premiums, 75% for dependents
- Unlimited PTO
- Monthly wellness stipend
- Parental leave
- Relocation support to move to SF or Chicago
- 401(k) program
Company HQ
Yerba Buena, San Francisco, CA
Articles
Leadership
Daniel Kao
(Co-Founder & CEO)Investor & Advisor. Former General Manager, Shipper Platform & Head of Customer Success at Uber Freight. Co-founded Sharespace and Open Canal.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 6 more jobs at TruckSmarter