Hiring: Head of Applied Machine Learning (ML) Company: SentiLink Location: Austin, TX Job Posted Time: 2026-09-12 07:37:33 Employment Type: Remote Target Skills & Keywords : AWS, Elasticsearch, LLM, MLflow, Machine Learning, Neo4j, OpenSearch, Pandas, PostgreSQL, Python, XGBoost, scikit-learn About the job Experience: •10+ years of industry experience applying machine learning or statistics to real-world problems, or 7+ years with a relevant PhD, including 6+ years directly managing machine learning or data science teams across two companies or more. Startup experience strongly preferred. Required Skills: •Directly manage a team of applied ML scientists, 4 today and growing to 6 by the end of 2026, and set the engineering and modeling practices they work by. •Own strategy and execution for your applied ML domain: roadmap, priorities, resourcing, and results. •Act as a technical mentor who can dive deep and give specific, useful direction. Guide modeling and architecture decisions, review PRs, and stay current on the codebase and production systems. •Partner with senior leadership, Product, Engineering, and Risk to set priorities and deliver on aggressive timelines. •Represent your domain in product strategy discussions and help shape where those products go next. •Own SentiLink's fraud detection and identity models across the full lifecycle: data acquisition, feature engineering, labeling strategy, model training, experimentation, production deployment, monitoring, and iteration. •Research emerging fraud patterns, build new ML capabilities for identity verification and financial risk, and design analyses that inform product and business decisions. •Drive how the team uses AI in its own work, keep pushing the boundary on what that unlocks, and help define where AI belongs in our products. Qualifications: •Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline. •Demonstrated success developing and deploying production machine learning models, plus experience writing production-quality Python code and tests. •Strong practical ML and applied statistics knowledge: able to scope solutions quickly with standard tooling and go deep where it pays off. •Very strong end to end, with a track record of owning a technical domain and driving it to measurable business impact: planning, defining success criteria, getting buy-in, building the solution, and delivering it, whether in production, in a deck, or as strategy. •Fluent with modern LLMs and AI-assisted development workflows, and opinionated about where they help and where they don't. Sound judgment when working with sensitive data under real information security and data governance constraints. •Excellent communicator, including with senior leadership and cross-functional stakeholders. Detail oriented and thoughtful, someone we can rely on to make business-changing decisions while thriving on varied, open-ended, high-impact problems. •Candidates must be legally authorized to work in the United States and must live in the United States. Compensation: •$210,000 - $260,000 / year •$210,000-$260,000/year + equity + benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!