Gatik, the leader in autonomous middle mile logistics, delivers goods safely and efficiently using its fleet of light & medium-duty trucks. The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries. Gatik’s Class 3-7 autonomous box trucks are commercially deployed in multiple markets including Texas, Arkansas, and Ontario, Canada.
We're looking for high-energy, creative, and collaborative candidates who want to work in a fast-paced, execution-oriented team. As a Machine Learning Engineer, you will be responsible for creating and preparing datasets, training and evaluating models, and optimizing algorithms for real-time performance. You will handle large volumes of sensor data, conduct extensive simulation testing, and implement continuous improvement techniques. Additionally, you will monitor and update deployed systems, ensure compliance with safety standards, and collaborate with software developers, hardware engineers, and other stakeholders to integrate machine learning models seamlessly.
This role is onsite 5 days a week at our Mountain View, CA office!
With headquarters in Mountain View, CA and offices in Canada, Texas and Arkansas. Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at Gatik for more company information and Jobs @ Gatik for more open roles.
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At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
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