Quantum Search Partners · 5 hours ago
Principal Machine Learning & AI Engineer
Austin, TX
Full-time
Hybrid
Senior Level, Lead/Staff
$250K/yr - $300K/yr
5+ years expQuantum Search Partners is a Series-C company focused on fraud prevention and AML solutions. They are seeking a Principal Machine Learning & AI Engineer to conduct research, develop algorithms, and collaborate with teams to integrate AI capabilities into their SaaS product.
Information TechnologyRecruitingStaffing Agency
Responsibilities
Feasibility Research: Conduct in-depth research to assess the technical and product feasibility of integrating new AI and machine learning advancements into core offerings
Idea Generation: Proactively generate, prototype, and validate innovative research ideas that can lead to next-generation features and products in fraud prevention, AML, IDV, and Device Intelligence
Algorithm Development: Design, implement, and experiment with advanced AI algorithms, including but not limited to deep learning, graph neural networks, reinforcement learning, and advanced statistical modeling
Collaboration: Work closely with the Product, Engineering, and Data Science teams to transition successful research prototypes into production-ready features
Knowledge Sharing: Disseminate research findings through internal presentations, technical reports, and potentially external publications
Embed AI in the Platform: Drive seamless integration of generative and traditional ML capabilities into core SaaS product, with a focus on real-time responsiveness and usability
Qualification
Required
Masters in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
5+ years of post-doctoral or industry experience in AI research, preferably in a domain related to fraud detection, cybersecurity, financial technology, or risk management
Deep expertise in multiple areas of AI/ML, such as Deep Learning, Time Series Analysis, Natural Language Processing, or Causal Inference
Proficiency in programming languages and frameworks commonly used in AI research (e.g., Python, PyTorch, TensorFlow)
Demonstrated ability to formulate research questions, design experiments, and interpret complex results
Generative AI Experience: Solid understanding of LLM architecture, prompt engineering, embeddings, vector search (e.g., FAISS, pgvector, Milvus), and GenAI product patterns like RAG or tool use
Experience building AI/ML systems at scale, ideally in a SaaS, B2B or data-heavy product environment
Deep understanding of clustering, anomaly detection and other core Machine Learning algorithms
Expertise with AI frameworks: Production level experience, and familiarity with AI frameworks such as LangChain, LangFuse, Guardrails, Haystack, or similar
Problem-Solving: Proven track record of tackling highly ambiguous and complex research problems and delivering practical, high-impact solutions
System Design Strength: Ability to define architecture that balances latency, scale, experimentation, and cost — with a deep understanding of distributed systems
Mentoring and communication: Ability to clearly communicate and explain research results in written and spoken words
Proven track record of successful collaboration between software engineering and research teams to transfer research prototypes into production-ready features
Preferred
Ph.D. in Computer science
Domain Knowledge: Strong understanding of the challenges and data unique to fraud detection, AML, IDV, or Device Intelligence is highly desirable
Cloud expertise: Preferably AWS cloud
Benefits
Stock Options (Potential Flexibility)
Company
Quantum Search Partners
Quantum Search Partners provides recruiting, and consulting services.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Brandon Glyck, CDR
Chief Executive Officer
Cindy Glyck
Partner & Chief Administrative Officer
Company data provided by crunchbase