Principal AI Research Scientist

Summary

Join Technergetics as a Principal of AI Research and Development, leading groundbreaking AI research and applying it to develop cutting-edge software products. This full-time, exempt position offers a competitive salary ($200,000+) and a hybrid work location culture, with the possibility of a fully remote arrangement. You will conduct research, lead proposal writing, champion AI/ML internally, and serve as an AI subject matter expert. The role requires a PhD in a related field, 5+ years of experience in machine learning, and expertise in various AI/ML techniques and tools. Benefits include health, life, disability, dental, and vision insurance, a 401(k) plan, paid time off, parental leave, and various other perks.

Requirements

• Graduation from an accredited college or university with a PhD in computer science, machine learning, computer programming, software engineering, or a closely related technical field
• 5+ years of professional experience in machine learning (including academic experience)
• Experience writing grants or competitive proposals for funding
• Experience or knowledge of business development
• A Proven Entrepreneurial mindset
• Passion to continue learning about emerging ML technology
• Experience with or knowledge of Retrieval-Augmented Generation (RAG)
• Desire to collaborate with other AI subject matter experts and engineering teams
• Ability to lead, coach, and mentor junior data scientists and engineers
• Experience with advanced data analytics and statistical models and methods
• Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks
• Experience with machine learning frameworks like Tensorflow, Pytorch, etc
• Experience in evaluating, training, and deploying machine learning models
• Experience in Python
• Experience with Jupyter Notebooks
• Knowledge of Graph Database(s) or Knowledge Graphs
• Knowledge or experience in cloud-based computing platforms such as AWS
• Knowledge or experience with Agile software development techniques

Responsibilities

• Conduct creative and inquisitive research and competitive analysis to identify new opportunities in the field of Machine Learning and Data Science
• Lead proposal writing for new opportunities with government R&D organizations and/or commercial companies
• Be the internal champion of AI/ML to technical and non-technical partners
• Bring your technical expertise and project management skills to become the AI subject matter expert for small teams of researchers and engineers on advanced R&D projects funded by government and commercial customers
• Develop and evaluate algorithms to understand the content multi-modal data, and/or perform reasoning on extracted data
• Contribute to the growth of our portfolio by providing state-of-the-art vision across the board and ensure portfolio roadmap stays relevant and leading edge
• Balance pragmatism and product intuition to achieve significant impact for a rapidly growing customer base at global scale
• Work closely with customers to understand their needs and incorporate feedback into our products
• Collaborate with external, well-known academic and industry researchers in Machine Learning, AI, computer vision, and natural language processing (NLP)
• Enjoy support and encouragement for participation in national AI/ML conferences and creating beneficial R&D relationships with other organizations

Preferred Qualifications

• Basic Experience in Python, Go, and other languages
• Experience in gathering and manipulating data for machine learning model training
• Knowledge of Resource Description Framework (RDF) and/or ontologies
• Familiarity with Nvidia Triton Inference Server

Benefits

• Health, life, disability, dental, and vision insurance coverage
• A 401(k) policy with a 3% company contribution & 3% company match
• Paid Time Off (including a PTO “gift day” for your birthday)
• 11 Federal Holidays per year
• Two weeks paid maternity/paternity leave
• Annual technology “allowances”
• Referral bonuses
• Professional recognition awards
• Healthcare stipends
• Tuition/education reimbursement (once certain requirements are met)
• Flexible daily start and stop times for most projects and positions