Geometric Computer Vision, Engineer
Welcome to Francis AI, where the future is ours to make.
This is our mantra and the mark of our difference—and by no accident. It’s a decision: We choose, every day, to uphold our collective promise.
Our six cultural values make it all possible. The qualities inherent to our identity, they guide everything we do as individuals and as a global team: what we say, how we behave and engage, the people we hire, even the innovations we pursue. They allow us to act as one across all levels, engagements, and borders, take our plans beyond the boardroom, and ultimately deliver exceptional work to our customers.
Come join us, and help us build a vision-based data platform for smart enforcement and smart cities with our six core values in mind:
Customer Focus
Passion
Collaboration
Empowerment
Transparency
Integrity
Responsibilities:
As the Geometric Computer Vision Engineer you will need to develop computer vision algorithms for object detection, tracking, and classifications that are robust to lighting and weather changes. This work requires that you collaborate with state estimation engineers and assist in developing powerful feature detectors/ descriptors and large-scale 3D maps. Furthermore, it is expected that you stay organized and communicative with others to ensure that goals and objectives are being met on time. To guarantee the consistency of projects, you will participate in end-to-end development and training in Cloud to optimize development on embedded platforms.
Required Qualifications:
3-5+ years’ significant industry experience and/or publications at venues such as ICRA, RSS, IROS, or CVPR in one or more areas-
Image Processing
Geometric Computer Vision
Deep Learning (ideally CNNs)
Classical machine learning such as SVM, decision trees, boosting, graphical models, sequential prediction, or sampling methods
Strong C++ programming and software design skills
Familiarity with a deep learning framework such as PyTorch, TensorFlow, Caffe, or Theano
BS, MS, or PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, a related field, or equivalent experience
Desired Qualifications:
Experience deploying CV/ML in a robot or real-time application
Understanding of optimization of DL models and deployment on embedded platforms such as the Nvidia Jetson
Experience in designing large-scale machine learning pipelines
There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields (AI, Computer Vision, Government Contracting, Systems & Device Engineering, Operations, Communications, and more)!
Just a few of our perks include:
Competitive compensation and equity package
Options for 100% company paid medical, dental, and vision coverage for employees and dependents (for US employees)
Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
Life, AD&D, Short and Long Term Disability Insurance
Aflac Critical Illness, Accident Insurance & Hospital Indemnity Insurance
MetLife Legal Plan(s) & Pet Insurance
Farmers GroupSelect Auto & Home Insurance
401(k) with 3% company matching
Professional development reimbursement
Wellness stipends
Unlimited PTO
Remote work opportunities
Home office & technology reimbursement
Daily catered lunches in our Oakland office
Francis AI is committed to creating a diverse and inclusive environment that fosters learning from each other. We celebrate people of diverse backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and are committed to providing a work environment free of harassment and discrimination. Francis AI is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
To all recruitment agencies: Francis AI does not accept agency resumes. Please do not forward resumes to our jobs alias, Francis AI employees or any other company location. Francis AI is not responsible for any fees related to unsolicited resumes.