First American · 1 day ago
Senior Applied ML Engineer
United States
Full-time
Remote
Senior Level
$126K/yr - $213K/yr
5+ years expFirst American is a leading company in the real estate industry with a commitment to fostering an inclusive and innovative environment. The role of Senior Applied ML Engineer involves designing, building, and deploying applied machine learning solutions to enhance business outcomes and drive value across the organization.
Financial ServicesInsuranceProperty InsuranceReal EstateReal Estate Investment
Responsibilities
Design, build, fine-tune, and deploy state-of-the-art machine learning and large language models at scale, supporting millions of daily predictions with a strong focus on accuracy, latency, compute efficiency, and cost optimization
Develop end-to-end ML and LLM pipelines, covering data ingestion, scripting, automated workflows for OCR, model training, evaluation, and post-processing in production environments
Build and operationalize LLM fine-tuning pipelines, applying a range of model adaptation techniques including full fine-tuning, LoRA (Low-Rank Adaptation), prompt-based methods, and Direct Preference Optimization (DPO)
Design and experiment with novel LLM architectures, balancing model size, computational efficiency, memory constraints, and deployment requirements
Optimize LLMs for production deployment through model quantization, compression, and teacher–student architectures, enabling efficient inference in resource-constrained environments
Architect and deploy Retrieval-Augmented Generation (RAG) systems, leveraging vector databases, embedding services, semantic search, document chunking, indexing, and retrieval mechanisms using frameworks such as LangChain, LlamaIndex, and commercial RAG platforms within GCP and Databricks
Innovate in ML operations and evaluation, including automated ground-truth generation, continuous post-evaluation pipelines, and iterative feedback loops to systematically improve model performance over time
Design and implement CI/CD pipelines for machine learning systems, ensuring high availability, reliability, low latency, and rapid iteration from experimentation to production
Qualification
Required
5+ years of experience in machine learning engineering, with a proven track record of deploying and operating ML and NLP/LLM systems in production at scale
Strong hands-on experience building full-stack ML systems, from data ingestion and automation to training, evaluation, deployment, and monitoring
Deep expertise in LLM fine-tuning and adaptation techniques, including full fine-tuning, LoRA, prompt-based optimization, and preference-based methods such as DPO
Practical experience designing and optimizing LLM architectures, with an emphasis on compute efficiency, memory usage, and real-world deployment constraints
Demonstrated proficiency in model inference optimization, including quantization, compression, and distillation techniques for high-throughput, cost-efficient production systems
Solid understanding and hands-on experience with RAG architectures, vector stores, embeddings, semantic search, chunking strategies, and retrieval workflows integrated with large language models
Experience using modern LLM orchestration and RAG frameworks such as LangChain, LlamaIndex, and managed AI platforms within cloud ecosystems like GCP and Databricks
Strong background in ML evaluation and MLOps, including automated evaluation pipelines, CI/CD for ML, and continuous improvement of deployed models
Proficiency in Python and ML/AI development frameworks, with the ability to work in fast-paced, experimental environments and production systems simultaneously
Benefits
Medical
Dental
Vision
401k
PTO/paid sick leave
Employee stock purchase plan
Company
First American
First American provides financial services through its Title Insurance and Services segment and its Specialty Insurance segment.
10001+ employees
H1B Sponsorship
First American has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (3)
2023 (2)
2022 (1)
2021 (2)
2020 (5)
Funding
Current Stage
Public CompanyTotal Funding
$450M2024-09-23Post Ipo Debt· $450M
2010-06-01IPO
Leadership Team
Kenneth D. DeGiorgio
Chief Executive Officer
Jody Mulkey
Chief Technology Officer
Recent News
2025-11-18
Company data provided by crunchbase