Senior Ai Engineer

Summary

Join TheyDo, a fully remote B2B SaaS company, and become a Machine Learning Engineer. You will design and build NLP models, focusing on LLMs and RAG systems, to analyze customer insights and drive product development. This role requires extensive experience with NLP, Python, SQL, and AWS, along with a passion for innovation and fast-paced experimentation. TheyDo offers competitive compensation, pre-IPO equity, fully remote work with flexible hours, comprehensive health insurance, generous paid time off, a learning and development budget, wellbeing budget, paid parental leave, and various other perks. The company fosters a collaborative and inclusive environment, encouraging diverse perspectives and continuous growth. TheyDo is committed to providing the latest technology and tools to support your work.

Requirements

• Extensive experience working with NLP, primarily focusing on LLMs
• Experience in designing, building, and evaluating RAG systems
• Proficiency in Python and SQL, and experience working with AWS services
• Experience in implementing observability for ML systems and proficient in managing LLMOps processes to ensure model performance and reliability
• A product-focused engineer who prioritizes understanding how users interact with the product and the reasons behind user behaviors to guide product development
• Organized and self-directed professional who excels in asynchronous workflows, thoroughly documents their processes, and maintains clarity in their work for team collaboration

Responsibilities

• Be the go-get person for delivering text and NLP capabilities, including but not limited to text classification, sentiment analysis, tagging, and semantics understanding
• Translate specific business problems into ML/AI challenges
• Build proofs-of-concept to experiment fast with new ideas and demonstrate their potential value to relevant stakeholders
• Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, introducing them to the machine learning community, and promoting their application
• Work together with the product & tech team to identify, prioritize opportunities, develop and productionalize them

Preferred Qualifications

Passion for innovation and the ability to execute experiments at a fast pace to explore and implement new ideas

Benefits

• Competitive compensation and pre-IPO equity
• Fully remote working with flexible hours
• Health Insurance benefit
• Flexible holiday days – minimum of 25 days of paid holiday per year (pro rata), in addition to public holidays and an extra three days during our annual company-wide winter shutdown in December
• Learning and Development budget
• Wellbeing budget
• Paid parental leave - 6 months for the primary carer, and 6 weeks for the secondary carer - fully paid. Paid childcare leave
• Home office or co-working support
• Company events
• Latest tech & tools - MacBook Air, Pro or laptop
• Continuous growth of our benefits package as we continue to grow in size