Hiring: Staff Machine Learning Engineer Company: Angi Location: Denver, CO Job Posted Time: 2026-09-16 02:57:13 Employment Type: Full-time Target Skills & Keywords: Machine Learning, AI, MLOps, LLMs, Search Ranking, Recommendation Systems, Model Deployment, Model Evaluation, Deep Learning, Information Retrieval, Python, SQL, TensorFlow, PyTorch, Distributed Systems, Data Science Experience: • 6+ years of experience in data science and machine learning, ideally within the tech industry and marketplace environments • Hands-on experience post-training and self-hosting open-weight LLMs (e.g., fine-tuning, quantization, serving infrastructure such as vLLM, SGLang) rather than relying solely on third-party APIs • End-to-end fluency in the MLOps lifecycle — data versioning, feature stores, CI/CD for ML, model monitoring/observability, and retraining pipelines • Experience driving the roadmap and direction of scalable, production-quality systems end-to-end Required Skills: • Advanced machine learning and AI model development for marketplace algorithms (search ranking, recommendation, matching) • Model deployment and engineering: MLOps practices, automating model training and post-training (fine-tuning, RLHF/preference alignment, distillation), optimizing runtime performance and inference cost, CI/CD, model registry, monitoring, and rollback • Model evaluation: offline metrics, online experimentation (A/B testing, guardrail metrics), and LLM-specific evaluation (hallucination rate, task accuracy, human/LLM-as-judge scoring) • Proficiency in SQL, Python, and ML frameworks (TensorFlow, PyTorch) with strong coding skills • Knowledge of large-scale distributed application architecture, design, implementation, and performance tuning • Practical knowledge of advanced machine learning algorithms and deep learning for search systems, information retrieval, and ranking algorithms • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders Qualifications: • Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline • Deep understanding of evaluation metrics across deep learning and classical ML, with ability to design evaluation strategies that catch regressions before production • Ability to collaborate cross-functionally with Product and Engineering teams • Proven ability to mentor junior team members and foster a culture of continuous learning and technical excellence • Strong track record of innovation, including proposing long-term technical vision and roadmaps Compensation: • Base salary band: $230,000–$310,000, commensurate with experience and performance (may vary based on geographic location) • Eligible for a competitive year-end performance bonus and equity package • Full medical, dental, and vision package • Flexible vacation policy • Pet discount plans and retirement plan with company match (401K) 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!