Haast Pty | Ml

vor 1 Woche

Sydney, Österreich Tideri Jobbörse Vollzeit

About Haast 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 Role As 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 What You'll Bring Must Have: 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 Nice to Have: 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 Why Haast?
Growth & Impact: 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 Benefits & Culture: 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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