Staff AI Engineer

Our Mission: 

6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue. 

Our People: 

People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in defining the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. 

We want 6sense to be the best chapter of your career. 

Purpose of the Job  

Staff AI Engineer leads and drives advanced AI initiatives within  the organization. By leveraging mastery in advanced  statistical methods,  machine learning, and programming, the  Staff  AI Engineer  is responsible  for  designing and  implementing complex  AI  solutions. This role involves innovatively solving business problems, optimizing algorithms, and deploying AI models to provide data-driven insights that align with the organization's strategic goals. Additionally, the Staff AI Engineer ensures efficient workflows, automates processes, and  effectively  communicates  insights  to stakeholders,  aiming  to  enhance  productivity, strategic decision-making, and overall business success.   

Job Description   

Responsibilities & Accountabilities  

• Lead the design and development  of complex AI solutions,  employing advanced techniques  to  optimize algorithms and data sets for superior performance.  
• Design and implement experiments to rigorously evaluate AI solution performance and provide valuable insights for refinement.  
• Develop detailed AI solution  requirements and effectively manage the development process, adapting to changing circumstances and requirements.  
• Collaborate effectively with cross-functional teams and stakeholders, ensuring successful delivery while adapting to evolving needs and circumstances.  
• Stay updated  with the latest trends  and advancements  in AI technology, incorporating newfound  knowledge into  solution  design and development.  
• Apply  mastery of statistical methods, machine learning algorithms, and programming languages to analyze unstructured data and derive actionable insights.   
• Develop novel modeling techniques  and algorithms, utilizing advanced methodologies  like Bayesian inference, reinforcement learning, and causal inference.  
• Create scalable models capable of handling large volumes of real -time data, ensuring transparency and explainability in the model's functioning.  
• Develop models that  inform strategic decision-making at the highest organizational levels, leveraging advanced machine learning techniques.  
• Align business objectives  with innovative  data science solutions,  proactively identifying opportunities  for data-driven insights and product  innovations.   
• Develop and implement advanced AI models, utilizing techniques  like transfer learning, ensemble methods, and neural networks  for complex problem -solving.  
• Design and implement efficient workflows, automate data -related tasks, and lead process improvement  initiatives to enhance productivity  and data accuracy.   
• Lead product development  efforts, demonstrating an understanding  of the business model and leveraging data for product decision-making and roadmap planning.  Ethical Product Development:  Understand  and consider the  ethical and legal  implications of data-driven products  and solutions,  ensuring responsible  and  compliant development  practices.  

Performance Measurement  

• AI Solution  Effectiveness:  Measure the effectiveness of AI solutions  developed by assessing their impact on solving complex business  problems.  
• Model Performance a