Degree in Artificial intelligence- AI
Aartificial intelligence, AI Robotic systems, Computer Vision (CV), Data Modeling, Data pipelines, Data structuring, Deep Learning, Employee life cycle, Infrastructure as code, Machine learning techniques, Mathematical modeling, Optimization, Python Programming, PyTorch, Signal processing, TensorFlow
As a Staff Machine Learning Engineer at Cavnue, you’ll bring critical skills to a team working on changing the built environment to create safe, reliable, and secure mobility experiences. We’re looking for someone who has developed machine learning models into real applications and you can help us build and solve some of the most complex, near real-time coordination problems at scales that matter to everyday people using our streets.
Role overview:
Requirements:
Salary Range: The salary range for this position is specific to the location(s) listed below and is the range Cavnue reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.
Remote - $164,000 - $220,000
Additional Compensation: The successful candidate may be eligible to participate in Cavnue's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Note: Cavnue's benefit, compensation and incentive programs are subject to eligibility requirements and other terms of the applicable plan or program.
Benefits
LI-Remote
We are building an incredible team of employees with diverse backgrounds and experiences. We believe that great work can occur anywhere and are open to considering candidates who meet our needs who reside outside our geographic footprint. We also value the impact that can result from co-located teams and some roles may require regular presence in one of our offices.
Our mission at Cavnue is to build the world’s most advanced roads, that are safer, offer greater throughput, improve access to affordable and high-quality public transit and shared mobility, and enable more efficient movement of goods. At Cavnue, we are developing and integrating technologies that will power the world’s most technologically connected roads (“cavnues”).