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Autonomous Vehicles for B2B Short-Haul Logistics

Deep Learning R&D Engineer

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At Gatik we’re developing Level 4 automated light trucks and vans for business to business (B2B) short-haul logistics. Our autonomous vehicles reduce the high cost of urban logistics, while improving safety, increasing efficiency, reducing congestion and emissions, and allowing businesses to best serve the community.

Led by a team of AV researchers and engineers from Carnegie Mellon Robotics Institute, we are building new concepts and groundbreaking solutions for autonomous vehicles to ensure goods are transported between business locations both efficiently and affordably in city environments. With offices in Palo Alto and Toronto, we are dedicated to building commercial applications of AVs and aim to power the next generation of self-driving commercial fleets for urban logistics.

We're looking for high-energy, creative and collaborative candidates that would like to be involved in all aspects of growing a fast-paced, execution-oriented team. If you’re curious and passionate about Level 4 autonomous driving, we'd like to meet you!

Responsibilities
- Develop tools to generate and manage big training datasets for different Deep Learning models
- Develop scalable training and evaluation tools and infrastructure
Analyze point cloud and radar raw sensor data and apply machine learning technologies
- Design, build and maintain large-scale production machine/deep learning pipelines

Qualifications
- Master’s or Ph.D. degree in Machine Learning, CS or related field
- Skilled software developer with experience in C/C++, Python and/or CUDA
- Worked with one or more neural network frameworks, such as Tensorflow, Caffe & Torch
- Strong quantitative background
- Experience with sensor data processing, environment modeling, large-scale point-cloud processing, or machine learning
- Experience with a wide variety of Deep Learning Models (e.g. LSTM, RNN, CNN, GAN, etc.)
- Self-starter; the ability to own projects with little oversight

Bonus Points
- Track record of building and shipping machine learning features in products
- Experience in software design for safety-critical systems
- Experience with sensor modalities used in robotics and automated driving applications (Camera/Vision, Radar, LiDAR, INS/IMU)
- Demonstrated academic or industry experience in developing novel deep learning models
- Deep understanding of GPU architecture
- Experience with distributed computing

Benefits
- Competitive salaries, generous equity, and benefits including medical, dental & vision
- Regularly scheduled on and off-site team building activities
- Free catered lunches, snacks, and drinks
- Start-up environment where you’ll help shape the culture and have a huge impact
- Work on innovative products and challenging problems with some amazingly talented (and fun) people
- Be at ground zero of the AV revolution!

Healthcare benefits

Medical, dental, and vision

Equity benefits

Competitive salaries and generous equity

Company meals

Free catered lunches, snacks, and drinks

Company events

Regularly scheduled on and off-site team building activities

Startup environment

Start-up environment where you’ll help shape the culture and have a huge impact. Work on innovative products and challenging problems with some amazingly talented (and fun) people

Gatik at a glance

Autonomous Vehicles for B2B Short-Haul Logistics

Gatik focuses on Automotive, Robotics, Machine Learning, Artificial Intelligence, and Hybrid Vehicles. Their company has offices in Palo Alto, Toronto, and Bentonville. They have a small team that's between 11-50 employees. To date, Gatik has raised $4.5M of funding; their latest round was closed on June 2019.

You can view their website at http://www.gatik.ai/ or find them on Twitter, Facebook, and LinkedIn.

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