Full-Time

Director – Artificial Intelligence

In Office: Austin, Texas

Confirmed live in the last 24 hours

Acrisure

Acrisure

Senior

Austin, TX, USA

In office 3 days a week.

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Data Science
Requirements
  • Bachelor’s or Master’s degree in Computer Science, or a related field with a strong knowledge of computer science fundamentals and engineering principles.
  • Demonstrated career progression from individual contributor to people manager, e.g., 8+ years of industry experience in AI/ML Engineering including 4+ years in a leadership role.
  • Experience mentoring and guiding the professional and technical development of members of the team.
  • Expertise with modern software tools, libraries, and languages, with experience delivering production models at scale.
  • A strong foundational knowledge in AI techniques and technologies.
  • Product and customer focused, with a passion for delighting the end user.
  • Empathy, kindness towards others, a positive attitude, and self-awareness.
  • Willingness and ability to work from the headquarters in Austin, Texas.
  • Eagerness to work for an early stage company to experiment, discover product-market fit and are focused on maximizing business impact.
Responsibilities
  • Attract, develop and retain top talent for the AI organization. Includes recruiting and interviewing candidates.
  • Enable the use of consistent tools, processes and documentation to both improve the development lifecycle and support onboarding new team members. Includes identifying opportunities for increased efficiencies that might positively impact the team.
  • Lead and mentor a team of AI and Software engineers building products across machine learning, generative AI, and data science initiatives.
  • Provide career development and growth opportunities for team members while developing a culture of accountability.
  • Work with key stakeholders to develop the AI vision, organization roadmaps, and concrete requirements for projects.
  • Drive improvements to quality, resilience and scale through both process and technology using a data driven approach.
  • Actively participate in architecture design and guide implementation to drive both alignment across the organization and ensure the systems being built are robust and maintainable.

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A