Software Engineer Intern, Plus
Machine Learning Infrastructure & Data
$19 - $65 an hour
Office located in Santa Clara, CA
Self-driving trucks
Be an early applicant
Self-driving trucks
201-500 employees
Be an early applicant
$19 - $65 an hour
Office located in Santa Clara, CA
201-500 employees
Company mission
To build driving intelligence to power a safer and greener world.
Role
Who you are
- Pursuing M.S or PhD in Computer Science, Mathematics, AI/ML, or related field
- 1+ years of hands-on experience in machine learning (e.g., deep learning, NLP) or infrastructure engineering
- Proficiency in Python, with strong experience in pandas, NumPy, and SQL (writing efficient queries)
Desirable
- Experience with ML frameworks (e.g., PyTorch) and infrastructure tools (CI/CD, cloud platforms)
- Knowledge of data engineering best practices (e.g., ETL, data versioning, metadata management) and containerization tools (Docker, Kubernetes)
What the job involves
- As an ML Infrastructure & data engineer Intern on our team, you’ll play a critical role in building and optimizing our data engine platform, which is the backbone of our autonomous driving technologies.
- Your contributions will directly impact the reliability, scalability, and performance of our AI systems by designing robust ML infrastructure, refining data pipelines, and enabling efficient workflows
- Design and implement LLM/VLM-driven autolabeling systems to optimize data annotation workflows and reduce manual effort
- Architect and implement scalable training data pipelines for diverse deep learning models (eg., perception, planning)
- Develop version-controlled datasets with efficient storage and retrieval mechanisms to ensure data integrity and accessibility
- Create visualization and analysis tools to monitor model performance and dataset quality
- Develop automation for continuous integration and deployment of updated models, ensuring streamlined updates and reliability
Our take
With self-driving vehicles becoming more common, the tuck shipping industry stands to benefit from autonomous driving technology, particularly given the current shortage of drives in the US.
Plus provides self-driving technology for trucks to make fleets safer, more fuel-efficient, and sustainable. It uses machine learning to analyze routes and scenarios, providing real-time data to trucks equipped with the PlusDrive system. Unlike competitors focusing on urban transportation, Plus is tackling long-distance logistics, though regulatory challenges in the US remain a concern.
Currently, Plus offers a system that enhances driver safety and efficiency, while continuing to develop fully autonomous solutions. Following a successful pilot with IVECO, Plus is testing its automated trucks on German roads and plans to expand into European markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2021
$220m
LATE VC
Feb 2021
$200m
LATE VC
Total funding: $821.7m
Company benefits
- Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
- Flexible working: Flexibile work arrangements and technology to help manage life's demands at the office and remote
- Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
- Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
- Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
- Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices
Company HQ
Santa Clara, CA
Leadership
David Liu
(Co-Founder & CEO)They hold a PhD in Electrical Engineering from Stanford and began their career as an Engineer at Silicon Graphics. Later, they worked as a Consultant for McKinsey & Co. and went on to serve as the Founder and CTO of both InformLink and RMG Networks. They also have experience as the Founder and CEO of RedAtoms.
Shawn Kerrigan
(Co-Founder & COO)They hold a Master's and PhD in Engineering from Stanford. They served as an Engagement Manager at McKinsey & Co. and later became a Senior Investment Associate at Bridgewater Associates. They also co-founded Locus Energy where they served as the CTO for 8 years.
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