Pittsburgh, PA and Metro Detroit, MI and Palo Alto, CA and Princeton, NJ
Argo AI was founded to tackle one of the most challenging applications in computer science, robotics and artificial intelligence with self-driving vehicles. Argo AI is developing and deploying the latest advancements in artificial intelligence, machine learning and computer vision to help build safe and efficient self-driving vehicles that enable these transformations and more. The challenges are significant, but we are a team that believes in tackling hard, meaningful problems to improve the world.
We are building a high-performance team that is excited by complex engineering challenges and is passionate about making transportation safer, more affordable and accessible for all.
Machine learning, more specifically deep learning algorithms (detection, segmentation, and fusion tasks) are one of the main challenges for self-driving vehicles and a key part of our autonomy stack. Self-driving cars need to perceive objects and actors around the vehicle to make the correct decisions. The implementation must meet rigorous real time constraints and reliably report detections in 2D or 3D spaces. Ultimately, we must not only solve the algorithm challenges but produce safety-quality high performance software. So this position is as much a software challenge as it is a core algorithm challenge.
We are seeking hands on candidates who have a mix of computer vision, machine learning expertise, embedded and real time constraints and low level accelerators (FPGA, GPUs). We are looking for practitioners who will be deep in code, and are technically strong in software and (ideally) strong in applied machine learning algorithms. Candidates need not have worked on self-driving, or robotics applications. Candidates with extremely strong skills in some areas but weaker in others will be considered with a bias towards strong software engineering skills.
What you’ll do:
Core models used for scene understanding that are front and center in the perception pipeline
Research projects improving not only our current image space but also radar, LiDar space detection algorithms and best methods to fuse together to improve performance
Turning algorithm exploration that performs best on rigorous and pragmatic A vs B experiments evaluated extensively on data into models/software running on the vehicle
Working with data collection to select and label relevant data to improve our supervised training
Working with label tooling team to adjust labeling policies, and approaches to obtain the best label set needed
What we're looking for:
Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field
Strong software engineering skills are required but we are language agnostic
A willingness to gain stronger software engineering knowledge and deep expertise in C++ and/or python is required
Strong theoretical and applied knowledge of relevant subsets of detection algorithms
Strong desire for candidates with hands on experience that have deployed real products or platforms into the real world and intimately understand the challenges of working with complex systems
Experienced software engineer or research with a track record of real world applications incorporating machine learning and computer vision
Experience with real world applications of machine learning and computer vision
Classification, scene understanding, object detection classes of algorithms
Familiarity with Mxnet, caffe, tensorflow or other similar deep net or machine learning packages
At Argo AI, we have a strong emphasis on creating a highly effective team environment. Thus, we seek candidates that can work effectively with others across a broad range of disciplines.
Argo AI is an equal opportunity employer that believes in diversity as a strength and is committed to creating an inclusive environment for all employees.
We know it takes competitive benefits to fuel a team that works hard and enjoys the challenge. At Argo AI, you can expect stellar perks to support your best self:
High-quality individual and family health, dental, and vision insurance