AI Engineer

About the role

The ideal candidate will translate business requirements into AI/ML models, prepare datasets, build models using state-of-the-art algorithms, test and deploy models in production, and work with customers to refine model quality.

Responsibilities

• Translate business requirements into AI/ML models
• Prepare data for training and evaluation of AI/ML/DL models
• Build AI/ML/DL models using state-of-the-art algorithms, including transformers
• Test, evaluate model quality, and publish models, data sets, and evaluations
• Deploy models in production by containerizing them
• Work with customers and internal employees to refine model quality
• Establish continuous learning pipelines for models with online learning or transfer learning
• Build and deploy containerized applications on cloud or on-premise environments

Requirements

• Bachelor's or Master's degree in Computer Science, Computational Science/Engineering, or related technical field (or equivalent experience)
• 3+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills
• Familiarity with containers, numeric libraries, modular software design
• Hands-on expertise with traditional statistical machine learning techniques, deep-learning, and natural language processing modeling
• Expertise in supervised, unsupervised, and transfer learning techniques
• Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc.)
• Experience with solving and using machine learning for real-world problems

Qualifications

• Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems
• Proven experience producing computationally efficient software to meet real-time requirements
• Background with container platforms such as Kubernetes
• Strong analytical skills with a bias for action
• Strong time-management and organization skills to thrive in a fast-paced, dynamic environment
• Solid written and oral communications skills
• Good teamwork and interpersonal skills

Benefits

• Competitive base salary and equity
• Medical, dental, and vision (subsidized cost)
• Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
• Roth 401(k)
• Retirement plan options
• Unlimited paid time off (PTO)
• 14 paid company holidays per year