Aura is on a mission to create a safer internet. In a world where our lives are increasingly online, Aura's category-defining suite of intelligent digital safety products help millions of customers protect themselves against digital threats, and that number is growing rapidly. This is an exciting phase at Aura, and our team of over 400 people worldwide is guided by a leadership slate that's successfully grown startups into multi-billion dollar organizations.
Come build with us!
AI Engineer (Applied AI)
Aura’s Applied AI team is building an entirely new digital safety experience based around an AI agent. The team is also building systems for safely evaluating, testing, and deploying this new technology. As an AI Engineer on this team, you’ll help develop and iterate on the intelligent agent that will drive Aura’s next generation of digital safety products.
Your work will have high visibility and broad impact. Instead of incremental updates, our goal is to develop a powerful AI agent that delivers a step change in family digital safety—from proactively remediating identity theft to ensuring safe online experiences for kids.
You’ll join a group that brings the spirit of a startup to an established company, giving you both creative freedom and substantial resources. You’ll need to be comfortable breaking down and tackling large unsolved problems and be willing to work hard to ensure the safety of the systems you build. You’ll be working at the forefront of generative AI technologies and building systems that don’t yet exist in the commercial space.
Day to day:
- Design, develop, and deploy agentic AI systems that integrate with Aura's existing products and services
- Build evaluation frameworks and monitoring systems for AI systems in production
- Contribute to the development of our agent framework and capabilities
- Help establish best practices for AI development and deployment
What you bring to the table:
- Degree in Computer Science, Statistics, related quantitative field or equivalent experience
- Demonstrated effectiveness in research or startup environments
- 4+ years of software or data engineering experience
- Strong Python programming skills and experience with Databricks or a similar system
- Experience with either traditional ML or generative AI
- Comfort with ambiguity and self-directing work
- Experience with LLMs and generative AI technologies (personal projects included)
- Experiencing evaluating and monitoring ML systems in production
What Makes You a Great Fit:
- You thrive in environments with significant uncertainty and enjoy defining problems as much as solving them
- You're passionate about generative AI technology and stay current with the latest developments
- You're comfortable taking initiative on new concepts without detailed direction
- You're excited about joining a growing team and helping shape its culture and direction
- You're willing to work flexible hours occasionally, including some extended hours and weekends as needed
Aura is committed to offering a generous package to support our employees in all aspects of their life in and out of work. Our packages offer competitive pay, generous health and wellness benefits, retirement savings plans, parental leave and much more! Pay range for this position is $205,000-270,000, but may vary depending on job-related knowledge, skills, experience and location.
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Aura is proud to be an equal employment workplace. All qualified applicants will be considered for employment without regard to, and will not be discriminated against based on race, color, ancestry, national origin, religion, age, sex, gender, marital status, sexual orientation, gender identity, disability status, veteran status, or any protected category. Beyond equal employment opportunity, Aura is committed to being an inclusive community where all feel welcome.
Aura is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please let your Talent Acquisition Partner know.
Important privacy information for United States based job applicants can be found here.
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