Anytime AI™

Location:
NY/CA or remote in US or International

Type:
Full-Time

Department:
Engineering

Compensation:
Base $100k – $175k
+ Bonus
+ Empolyee Stock Option Plan

About Anytime AI

Anytime AI leverages cutting-edge Generative AI technologies to provide powerful automation tools for plaintiff lawyers. Our solutions automate essential workflows in personal injury cases, facilitating legal research, auto-drafting legal memos, and analyzing legal documents and medical records to expedite fact-finding. Our secure solutions can efficiently and responsibly reduce up to 90% of manual efforts, allowing lawyers to better serve their clients and positively impact the lives of millions.

Role Overview

As a Machine Learning Engineer, you will be instrumental in crafting and refining sophisticated Machine Learning algorithms that drive our legal tech solutions. This role requires robust expertise in machine learning R&D, particularly involving NLP (Natural Language Processing) and Large Language Models, to improve information extraction, information retrieval and search, document analysis and summarization, and generation.

Responsibilities

• Design, develop, and deploy advanced AI algorithms to boost the functionality and efficacy of our legal AI applications.
• Work closely with product teams to integrate AI technologies into solutions centered around user needs.
• Enhance and streamline machine learning pipelines for superior performance and scalability.
• Conduct thorough testing and validation to maintain the accuracy and reliability of algorithms.

Required Qualifications

• M.S. or higher in Computer Science, Machine Learning, AI, or related fields.
• 3+ years of experience in Machine Learning R&D.
• Proficiency in Machine Learning and NLP techniques and tools.
• Demonstrated experience in developing real-world AI solutions or contributing to open-source applications using NLP.
• Strong software development capabilities.
• Strong analytical and problem-solving skills, adept at identifying and addressing bottlenecks for optimal performance under varying loads.

Preferred Skills

• Extensive experience in building and managing production-level machine learning systems.
• Expertise in prompt engineering and RAG (Retrieval-Augmented Generation) technologies.
• Experience in developing search and retrieval algorithms.
• Experience in training Large Language Models.
• Web development experience or willingness to acquire the necessary skills to contribute to our web-based product offerings.
• Excellent verbal and written communication skills, capable of articulating complex technical concepts to cross-functional teams and translating legal workflows described by these teams into technical solutions.

This Might Be for You If…

• You thrive on proactivity and have a “get things done” mindset.
• You are eager to keep up with the latest industry trends and committed to continuous learning and innovation.
• You possess a strong passion for crafting innovative AI solutions that deeply engage users and meet critical needs.
• You have a strong interest in the intersection of technology and law, and you’re excited by the potential of AI to transform legal services.
• You excel in environments where projects and priorities may shift, showing your flexibility and problem-solving prowess.
• You are an excellent communicator, capable of effectively collaborating with a dispersed team to drive product innovation.
• You are keen on working in a collaborative environment where your work directly influences the direction of the company.

What We Offer

• Competitive salary and equity package.
• Comprehensive benefits package including health, dental, and vision insurance.
• Opportunity to work with a talented and passionate team at the forefront of AI technology.
• Flexible work environment with opportunities for professional growth and development.
• The chance to significantly impact the legal tech industry and help shape the future of AI in law.

Anytime AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.