Who we are:
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.
About the role:
We are looking for talented ML engineers with expertise in classical and modern machine learning techniques for behavior prediction to own and actively contribute to the architecture, design, implementation, and delivery of a multi-modal prediction system. The ideal candidate will be a ML expert who has overseen a process from the R&D phase through product shipment and developing real-world solutions.
This role will be onsite 4 days a week at our Mountain View office!
What you'll do:
- Develop key modules of the behavior prediction system, focusing on accurately predicting the movements and actions of surrounding objects to enhance the decision-making capabilities of our autonomous vehicles.
- Create and maintain robust software infrastructure that enables the use of large-scale image and LiDAR data for learning algorithms, ensuring seamless integration and high performance.
- Design and write highly optimized pipelines for data pre-processing, model training, data post-processing, and inference, ensuring efficiency and scalability.
- Train advanced behavior prediction models, including LSTM, Transformer, and other relevant machine learning models. Evaluate their performance rigorously, identify and fix performance bottlenecks to achieve state-of-the-art results.
- Create scalable training and evaluation tools and infrastructure to support continuous improvement and rapid iteration of behavior prediction models.
- Work closely with other engineers to integrate behavior prediction systems into the broader autonomous driving stack and conduct comprehensive system tests to ensure reliability and safety.
What we're looking for:
- Strong experience with machine learning, particularly in the context of behavior prediction for autonomous driving.
- Familiarity with machine learning models such as LSTM, Transformer, and other relevant architectures.
- Proficiency in programming languages such as Python and C++.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with large-scale data processing and cloud computing platforms.
- Excellent problem-solving skills and ability to work collaboratively in a team environment.
- Previous experience in autonomous driving or robotics is a plus.
More about Gatik:
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.
Gatik News:
Taking care of our team:
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.
