Hiring: Senior Machine Learning Engineer Company: Angi Location: Denver, CO Job Posted Time: 2026-09-16 02:57:08 Employment Type: Full-time Target Skills & Keywords: Machine Learning, AI, LLMs, MLOps, Search Ranking, Recommendation Systems, Deep Learning, Model Deployment, Model Evaluation, Python, SQL, TensorFlow, PyTorch, vLLM, SGLang, Distributed Systems, Data Science Experience: • 4+ 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 • Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline Required Skills: • Advanced machine learning and AI model development for marketplace algorithms (search ranking, recommendation, matching) • MLOps lifecycle expertise: data versioning, feature stores, CI/CD for ML, model monitoring/observability, retraining pipelines • Model deployment and engineering: automating model training and post-training (fine-tuning, RLHF/preference alignment, distillation), optimizing runtime performance and inference cost • Evaluation frameworks for deep learning and ML systems: offline metrics, online experimentation (A/B testing, guardrail metrics), 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 ML algorithms and deep learning for search systems, information retrieval, and ranking algorithms Qualifications: • Ability to drive the roadmap and direction of scalable, production-quality systems end-to-end • Strong cross-functional communication with Product and Engineering teams • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders • Proven mentorship skills to guide junior team members and foster a culture of continuous learning • Experience collaborating with engineers, ML infra teams, data scientists, and product managers Compensation: • Base salary range: $200,000–$250,000, commensurate with experience and performance (may vary based on geographic location) • Eligible for competitive year-end performance bonus & equity package • Full medical, dental, and vision package • Flexible vacation policy • Pet discount plans & 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!