Ml & Search Engineer
vor 1 Woche
About HaastWe'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 MakeDesign and implement hybrid RAG search methods combining search databases and LLMsFine-tune and optimise machine learning models for compliance detectionDevelop and maintain search infrastructure for high-performance query processingBenchmark and evaluate system performance to drive continuous improvementWork with structured and unstructured data to enhance compliance detectionCollaborate with the team to implement cutting-edge ML solutionsWhat You'll BringMust Have:3+ years of experience in ML or search engineeringStrong proficiency in Python with clean code practicesExperience with search technologies (Vespa, OpenSearch)Solid understanding of machine learning models and methodsExperience with database technologies (PostgreSQL)Track record of implementing production ML systemsNice to Have:Experience with Large Language Models and RAG architecturesData Engineering ExperienceA background building benchmarking systemsFastAPI framework knowledgeStartup or high-growth environment experienceAWS cloud platform expertiseResearch background in ML or searchExperience with DevOps and CI/CD toolsWhy 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 reviewsCreating technology that builds customer trust and protects consumer rightsBenefits & Culture:Sydney-based with flexible work arrangements (because life happens)Competitive salary and equity (ESOP) - we believe in sharing the successRapid career growth - high performers get real opportunities, not just high fives and a monthly pizza partyWork with cutting-edge AI technologies that your current employer claimed you would beCollaborative, engineering-driven culture focused on learning and developmentWe're going global.
Join our cracked team and let's get there.
Apply now
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