Who is Recruiting from Scratch:
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
Our Client
Company background:
Our client is a low-cost, swarm robotics company for industry and defense. Their first product is a defense application building Unmanned Ground Vehicles (UGVs), collectively termed - Attritable, Networked, Tactical Swarm (ANTS). Each UGV in ANTS is an independently-tasked, attritable robot designed for on-demand and autonomous mobility. When operating as a swarm, ANTS is capable of executing more advanced and coordinated, high-level capabilities across a battlespace. ANTS will help solve some of the DoD’s biggest problems that will save lives and increase defense capabilities.
Position description:
Our client is seeking a highly skilled Perception/ML Engineer to spearhead the development of cutting-edge off-road terrain-aware navigation systems for autonomous DoD ground vehicles. This engineer will play a pivotal role in designing and implementing machine learning-based perception systems that enable our autonomous vehicles to navigate complex and unstructured off-road environments. This engineer will work closely with company leadership to align autonomous navigation capabilities with the product roadmap.
Required Qualifications:
- 4+ years of experience in Machine Learning Systems, AI infrastructure, and ML Frameworks
- Experience developing architecture, implementation, and performance of an ML-based perception system to support off-road autonomous navigation
- Experience developing machine-learning models and training pipelines for terrain perception using a mixture of LIDAR and camera data
- Strong experience with Python and/or C++
- Experience with ML frameworks such as Tensorflow, Caffe, and/or PyTorch
- Strong understanding of code efficiency/performance and reliability
- Outstanding ability to write clean, fast, reliable, and highly scalable software
- BS in CS, Math, or equivalent real-world experience
- Strong organization and communication to work well across teams in a fast-paced startup environment
- Comfort working in the high-paced, fluid environment of a tech startup
- Excitement about contributing to the defense of the United States and its allies
- Ability to obtain and hold a U.S. security clearance
Preferred Qualifications:
- Real-world experience fielding ML perception navigation systems on autonomous ground vehicles, such as DARPA RACER or other DoD applications
- MS, PhD in CS, Math, or equivalent industry ML experience
- Experience with robotics/sensor simulation
- Ability to relocate to Phoenix, AZ area
We expect the majority of the candidates who are offered roles to fall healthily within the range based on these factors: Salary range: $100,000 - $200,000 annually. #J-18808-Ljbffr