In your role you will:
-Design, develop and architect machine learning models and own production, pipelines, and runtimes
-Develop, refine, optimize, and scale implementations of new research
-Work closely with the research team to implement and deploy scalable solutions on edge devices or cloud of new research where appropriate.
-Administer technical leadership through best practices, conducting experiments, and collaborating with their C-suite, reporting into the VP of Engineering

Experience, Knowledge and Skills:
-BS or MS or PhD in Computer Science or a related technical field involving Artificial Intelligence, Machine Learning, Computer Vision or equivalent technical experience
-3+ years of experience building machine learning or AI systems
-Excellent presentation and communication skills

Software engineering skills including:
-Excellent knowledge of algorithms and data structures
-Expertise in one or more object-oriented languages, including Python, Java, or C++
-Expertise in using database systems, SQL, NoSQL, or Cassandra

Machine learning skills including:
-Understanding different model families such as, supervised, semi-supervised, self-supervised, and unsupervised models using deep learning, statistical/bayesian learning. 
-Expertise in creating machine learning models using symbolic programming in Tensorflow, Caffe, Pytorch
-Expertise in building and deploying machine learning models in scalable production services.

Critical thinking skills including:
-Strong analytical and problem-solving skills
-Debugging complex systems and machine learning models
-Optimizing various systems and models for specific use-cases

Desired Qualification:
-Experience in cloud/HPC computing on AWS (EC2, S3, sagemaker), GCP, or Azure
-A strong publications record at Machine Learning, Computer Vision, or Natural Language top conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, EMNLP, ACL, NAACL
-Applied experience in one or more of the following domains: natural language processing, deep learning, bayesian reasoning, recommendation systems, learning for search, computer vision, speech processing, learning from semistructured data, reinforcement or active learning, machine learning on mobile devices

What we Offer:
Competitive compensation, generous benefits, stock options and huge potential for growth
Strong startup (and fun) culture currently located in Palo Alto with catered breakfast, lunch, and dinners, dog-friendly office, casual dress code, happy hours, and more.

Robust.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Robust.AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Robust.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.