Sr AI Engineer at VC-funded Startup

About Outdoo AI

Outdoo is the enterprise AI roleplay and training platform for customer-facing teams — ranked #1 in customer satisfaction on G2 — trusted by 250+ enterprises, including Globe Life, Invitation Homes, and Keller Williams, to close the loop between training and revenue outcomes through closed-loop coaching, contextual roleplay practice, and workflow simulation. With growing adoption across Fortune 500 companies and a rapidly expanding enterprise customer base, we're building a world-class marketing team to match our product's ambition.

Responsibilities:

Algorithm Development:

• Design and implement machine learning algorithms to improve user engagement and retention.
• Utilize predictive modelling to enhance hyper-personalized experience for users via recommendations
• Enable optimization, automation, and machine intelligence in various business decision making across marketing, business planning, and so on.

Data and Model Analysis:

• Analyze large datasets to extract meaningful insights that drive product enhancements and business decisions.
• Work closely with data engineering teams to ensure data quality and availability.
• Work closely with engineering team to ensure standard modelling pipeline including data and model drift monitoring and course correction
• Ensure quality assurance of the models in the productions through in-depth analysis of the models and their outcomes pertaining to the context

Product Integration:
Collaborate with product managers to integrate AI capabilities into the platform.
Ensure seamless user experiences through AI-driven features.

Technology Evaluation:

• Stay abreast of the latest advancements in AI and machine learning technologies.
• Evaluate and recommend new technologies to enhance the platform's capabilities.

Collaboration:
Work closely with cross-functional teams, including product development, marketing, and customer support.
Collaborate with stakeholders to understand business requirements and provide AI-driven solutions.
Collaborate with other AI teams to exchange and leverage best practices, frameworks, and algorithms

Qualifications:

• Master's in Computer Science, AI, Machine Learning, or a related field.
• 3+ years of industry experience with proven experience.
• Knowledge of state-of-the-art AI developments and strong ability and conviction to strategically plan and connect modern into business context.
• Expertise in predictive modelling, recommender systems, statistical analysis, and/or modern AI networks such as NLP, computer vision, transformers or Gen AI concepts.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
• Join us in creating modern revenue tech-stack with the power of AI. AI. If you are a visionary leader with a passion for technology, we invite you to apply and be a key player in our exciting journey.