Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Generative AI, Legal TechIndustries
Requirements
Candidates should have at least 3 years of experience in machine learning, data science, or a similar technical role. A strong foundation in machine learning, information retrieval, or data management is essential, with particular interest in large language models and generative AI technologies. Proficiency in Python and strong software engineering fundamentals are required, along with demonstrated expertise in classical machine learning techniques, deep learning frameworks, natural language processing, and information extraction. Experience with LLM fine-tuning, knowledge graph construction, production ML system deployment, and distributed computing is also necessary. Excellent communication skills are a must, with the ability to explain complex technical concepts clearly and collaborate effectively with cross-functional teams.
Responsibilities
The Machine Learning Engineer will pioneer cutting-edge Document AI systems and build next-generation models for understanding complex legal and medical documents. They will implement and advance technologies in information extraction, retrieval, data management, and RAG techniques. The role involves collaborating with domain experts and product managers to translate insights into robust machine learning systems, creating tools for data-driven decision-making, and mentoring junior team members to promote a culture of excellence and collaboration.
Skills
Information Extraction
Information Retrieval
Data Management
RAG
Prompt Engineering
LLM fine-tuning
Generative AI
LLMs
Multi-modal LLMs
Semantic Search
Knowledge Graphs
Distributed Data Pipelines
LoRA
QLoRA
Instruction Tuning
Human-level understanding
Query Understanding
EvenUp
Legal services for personal injury cases
About EvenUp
EvenUp Law provides legal services focused on personal injury, trucking accidents, and medical malpractice. The firm operates in multiple states, including Texas, Pennsylvania, California, Indiana, and Georgia. Its business model is based on a contingency fee structure, meaning they only receive payment if they win a case, taking a percentage of the settlement or judgment. What sets EvenUp Law apart from its competitors is its detailed case preparation and the ability to analyze cases like an adjuster or defense attorney, which leads to higher settlement amounts and quicker resolutions for clients. The firm also maintains a database of similar injuries and their values, which helps in providing accurate damage estimates. The goal of EvenUp Law is to save clients time and stress while ensuring they receive fair compensation for their injuries.
Key Metrics
San Francisco, CaliforniaHeadquarters
2019Year Founded
$214MTotal Funding
SERIES_DCompany Stage
LegalIndustries
201-500Employees