ML & Search Engineer
4 weeks ago
We're not just talking about AI - we're building one of the first enterprise-grade LLM implementations that delivers real, measurable value to compliance and legal teams TODAY.
For the last 2 years, we've been transforming how organisations handle compliance from a painful checkbox exercise into a smooth, intelligent process. Our AI-powered platform is helping legal, compliance, and marketing teams revolutionise their operations with 80% faster reviews and 4x productivity boosts. (And yes,we triple-checked those numbers)
Why is this exciting? Because we're surfing the biggest wave in enterprise tech - the AI revolution. As the regtech industry rockets toward a $50 billion future, we're proudly flying the Australian flag on the global stage.
Think about it: Design has Canva. Projects have Trello. Now, Compliance has Haast.
The RoleAs an ML & Search Engineer at Haast, you'll design and implement hybrid search methods that blend cutting-edge search databases with large language models. Your work will enhance our platform's ability to detect compliance risks in real-time, helping enterprises process thousands of marketing assets daily. We're looking for someone passionate about pushing the boundaries of AI and search technology to solve complex compliance challenges.
Impact You'll Make- Design and implement hybrid RAG search methods combining search databases and LLMs
- Fine-tune and optimise machine learning models for compliance detection
- Develop and maintain search infrastructure for high-performance query processing
- Benchmark and evaluate system performance to drive continuous improvement
- Work with structured and unstructured data to enhance compliance detection
- Collaborate with the team to implement cutting-edge ML solutions
- 3+ years of experience in ML or search engineering
- Strong proficiency in Python with clean code practices
- Experience with search technologies (Vespa, OpenSearch)
- Solid understanding of machine learning models and methods
- Experience with database technologies (PostgreSQL)
- Track record of implementing production ML systems
- Experience with Large Language Models and RAG architectures
- Data Engineering Experience
- A background building benchmarking systems
- FastAPI framework knowledge
- Startup or high-growth environment experience
- AWS cloud platform expertise
- Research background in ML or search
- Experience with DevOps and CI/CD tools
- Leading the evolution from dull, traditional SaaS to AI-powered workflows (because nobody ever said "I love manually reviewing disclaimers")
- Build enterprise-grade AI technology that major institutions actually trust (and love)
- Empowering humans to focus on strategic work they love by eliminating tedious compliance reviews
- Creating technology that builds customer trust and protects consumer rights
- Sydney-based with flexible work arrangements (because life happens)
- Competitive salary and equity (ESOP) - we believe in sharing the success
- Rapid career growth - high performers get real opportunities, not just high fives and a monthly pizza party
- Work with cutting-edge AI technologies that your current employer claimed you would be
- Collaborative, engineering-driven culture focused on learning and development
We're going global. Join our cracked team and let's get there. Apply now
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