Sr./Staff Behavior Prediction Engineer

Who we are

Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.

The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations.

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 5 days a week at our Mountain View, CA 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

• Ph.D. with 3+ years of industry experience or Master’s degree with 5+ years of relevant industry experience

• 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.

Salary Range - $170,000-$250,000

More about Gatik

Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.

We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.

Visit us at Gatik for more company information and Careers at Gatik for more open roles.

Notable News

• Forbes: Forget robotaxis. Upstart Gatik sees middle-mile deliveries as the path to profitable AVs

• Tech Brew: Gatik AI exec unpacks the regulations that could shape the AV industry

• Business Wire: Gatik Paves the Way for Safe Driverless Operations (‘Freight-Only’) at Scale with Industry-First Third-Party Safety Assessment Framework

• Auto Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGS

• Automotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginning

• Forbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight Services

• Bloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier Routes

• Reuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutiny

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.