Staff Ai Engineer

Summary

Join 6sense as a Staff AI Engineer and lead the development of advanced AI solutions. You will design and implement complex AI models, optimize algorithms, and collaborate with cross-functional teams. This role requires expertise in statistical methods, machine learning, and programming languages. You will also be responsible for ensuring efficient workflows and communicating insights to stakeholders. The position offers a competitive salary and benefits package, including health insurance, paid time off, and professional development opportunities. Success in this role will be measured by the effectiveness of AI solutions, model performance, and impact on business growth.

Requirements

• Ph.D. or Master's in Computer Science, Data Science, or related field
• 10+ years in data science, machine learning, and AI, with progressive tech leadership roles
• Expertise in Python, R, SQL, and advanced statistical and ML techniques
• Designing tailored ML models, optimizing algorithms, and AI solution deployment
• Designing efficient workflows, automation, and process improvements
• Exceptional communication and leadership skills, managing data science teams
• Driving innovation, staying updated with emerging tech, and ensuring ethical compliance
• Effective collaboration, adaptability to changing requirements and circumstances

Responsibilities

• 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

Preferred Qualifications

• Demonstrated contributions through research publications and thought leadership in the data science domain
• Ability to align data science goals with broader business objectives, leveraging insights for strategic decision-making
• Understanding and integrating user needs and experiences into product development, using data to drive user-centric decisions
• Ability to adapt to changing requirements and circumstances, ensuring the successful delivery of AI solutions in dynamic environments
• Efficiently manage time and prioritize tasks to meet project deadlines and organizational goals
• Commitment to maintaining high-quality standards, adhering to compliance requirements, and ensuring data accuracy and validity

Benefits

• Generous health insurance coverage
• Life, and disability insurance
• A 401K employer matching program
• Paid holidays
• Self-care days
• Paid time off (PTO)
• Bonus program or commission plan
• Stock options
• Paid parental leave
• Access to our LinkedIn Learning platform
• Quarterly wellness education sessions