Lead Data Scientist - Autonomous Goal Management
HumanaFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Candidates must be at least 21 years old with 5+ years of driving experience, hold a valid U.S. driver's license with a clean driving history, and demonstrate technical acumen with tools like Linux, Google Suite, Jira, Slack, and Git. Strong technical aptitude, detail-oriented mindset focused on safety, and ability to work independently are also required.
This is not a remote position; it requires on-site work in customer yards, including outdoor conditions for up to 10 hours per day, using a laptop in a moving vehicle, and the ability to work in close quarters.
The role involves rotating shifts, including nights, weekends, early mornings, and holidays, with up to 10 hours per day outdoors or in a moving vehicle, and potential travel for up to 2 months.
This information is not specified in the job description.
Strong candidates have a proven interest in modern automotive systems, experience in safety-focused professional environments with procedure and software testing, excellent communication skills, and a detail-oriented approach to troubleshooting and documentation.
Develops autonomous yard truck solutions for logistics
ISEE AI specializes in creating autonomous yard truck solutions for logistics and warehouse environments. Their autonomous trucks use artificial intelligence to navigate complex settings, improving the efficiency of yard operations. These trucks are designed to work alongside people and equipment, ensuring smooth workflows in distribution centers and industrial yards. Unlike many competitors, ISEE AI focuses specifically on yard operations, which are often overlooked in the logistics chain, providing a unique advantage. The company's goal is to enhance operational efficiency and reduce costs in the logistics sector by offering reliable and effective autonomous driving systems based on advanced research from MIT.