AI startup focused on leveling the playing field for personal injury victims through innovative legal technology solutions.

EvenUp is a pioneering generative AI startup revolutionizing the personal injury legal sector. As a Machine Learning Engineer, you'll be at the forefront of developing cutting-edge Document AI systems that transform how legal cases are handled. The role combines advanced ML techniques with real-world impact, working on everything from information extraction to RAG systems. You'll be part of a mission-driven company backed by top VCs like Bessemer and Bain Capital, working with a proprietary dataset to solve complex legal and medical document processing challenges. The position offers a hybrid work environment in either San Francisco, Los Angeles, or Toronto, with comprehensive benefits and the opportunity to make a tangible difference in injury victims' lives. The ideal candidate brings 3+ years of ML experience and strong technical skills, ready to tackle challenging problems at the intersection of AI and legal technology. This is a unique opportunity to advance ML technologies while contributing to meaningful social impact in the legal justice system.

Machine Learning Engineer role at EvenUp, developing advanced Document AI systems for legal case processing with focus on generative AI and information extraction.

Machine Learning Engineer

EvenUp applies machine learning and AI to level the playing field in personal injury cases, helping law firms maximize case outcomes through their Claims Intelligence Platform.

EvenUp is revolutionizing the personal injury legal sector by leveraging AI and machine learning technology to ensure fair representation for injury victims. As a Backend Software Engineer on the AI Platform team, you'll be at the forefront of making LLMs more accessible to engineering teams. The role involves working with cutting-edge legal industry large language models that extract and summarize data from client documents.

You'll join a diverse team of Data Scientists, Researchers, and Software Engineers, working at the intersection of programming, LLM integration, and experimentation. This hybrid position offers 2-3 days of in-office collaboration in either San Francisco or Toronto, providing an excellent opportunity to tackle complex engineering challenges in generative AI while contributing to a more equitable legal system.

The role demands expertise in building scalable systems and infrastructure for LLM-based algorithms, with a focus on reliability and performance. You'll take ownership of projects from conception to deployment, working with Python, Postgres, Kubernetes, and Elasticsearch. The ideal candidate brings extensive experience in distributed systems, API development, and a track record of delivering complex projects in fast-paced startup environments.

EvenUp, backed by top VCs including Bessemer Venture Partners and Bain Capital Ventures, offers comprehensive benefits including medical insurance, flexible PTO, 401(k), and paid parental leave. Join us in our mission to level the playing field in personal injury cases while working with cutting-edge AI technology and making a meaningful impact in the legal industry.

Senior Backend Software Engineer position at EvenUp, focusing on AI platform development and LLM integration for legal tech solutions.

Backend Software Engineer, AI Platform

EvenUp applies machine learning and AI to level the playing field in personal injury cases, helping law firms maximize case outcomes.

EvenUp is revolutionizing the personal injury legal sector by leveraging AI and machine learning to ensure fair representation for injury victims. As a Backend Software Engineer on the AI Platform team, you'll be at the forefront of making LLMs more accessible to engineering teams. The team has already achieved significant success in developing legal industry-specific large language models for document analysis and summarization.

You'll join a diverse team of Data Scientists, Researchers, and Software Engineers, working at the intersection of programming, LLM integration, and experimentation. This hybrid role requires 2-3 days per week in office, with locations in either San Francisco Bay Area or Greater Toronto Area.

The position offers an exciting opportunity to tackle complex engineering challenges in generative AI while contributing to a mission of bringing fairness to the legal system. You'll be responsible for designing and optimizing scalable systems, taking ownership of projects from conception to deployment, and implementing robust solutions using modern technologies like Python, Postgres, and Kubernetes.

EvenUp, backed by prestigious VCs including Bessemer Venture Partners and Bain Capital Ventures, has established itself as a trusted partner for personal injury law firms. The company's Claims Intelligence Platform™ combines human legal expertise with proprietary AI to streamline workflows and maximize case outcomes.

The role offers comprehensive benefits including health insurance, flexible PTO, 401(k), parental leave, and a sabbatical program. This is an ideal opportunity for experienced engineers passionate about using technology for social impact while working with cutting-edge AI technologies in a fast-paced, mission-driven environment.

EvenUp is revolutionizing the personal injury legal sector by leveraging AI and machine learning to ensure fair representation for injury victims. As a Backend Software Engineer on the AI Platform team, you'll be at the forefront of making LLMs more accessible to engineering teams. The role involves working with cutting-edge legal industry large language models that extract and summarize data from client documents.

You'll join a diverse team of Data Scientists, Researchers, and Software Engineers, tackling complex engineering challenges in generative AI. The position offers a unique opportunity to impact the legal system through technology, working on systems that help thousands of victims receive fair compensation.

The hybrid work environment promotes collaboration, requiring 2-3 days per week in either the San Francisco or Toronto office. You'll be responsible for designing and optimizing scalable systems for LLM-based algorithms, taking ownership of projects from conception to deployment, and working closely with internal stakeholders to understand and address requirements efficiently.

The ideal candidate brings extensive experience in building frameworks and distributed systems, with a focus on reliability and performance. Strong programming skills in Python or similar languages are essential, and experience with AI, legal tech, or social impact projects is valued. The role offers comprehensive benefits, including health insurance, flexible PTO, and professional development opportunities.

Join EvenUp, backed by top VCs like Bessemer Venture Partners and Bain Capital Ventures, in their mission to level the playing field in personal injury cases through innovative technology solutions.

EvenUp is revolutionizing the personal injury legal sector with its AI-driven platform, Piai™. As a Frontend Engineer, you'll be instrumental in developing intuitive interfaces for our groundbreaking legal platform. Working in a hybrid environment (2-3 days in office) either in Toronto or San Francisco, you'll collaborate with a diverse team of engineers, data scientists, and legal experts from prestigious backgrounds including Google, Uber, and Waymo.

The role combines technical excellence with meaningful impact, as you'll build and optimize user-centric interfaces using modern technologies like React and TypeScript. You'll have full ownership of projects from conception to deployment, while contributing to a platform that helps thousands of injury victims receive fair compensation.

Our team values initiative, creativity, and strong problem-solving skills. We're looking for engineers who can not only code effectively but also mentor peers and communicate complex technical concepts clearly. The position offers competitive compensation ($145K-$250K plus equity) and comprehensive benefits including medical insurance, flexible PTO, and a sabbatical program.

What makes this opportunity unique is the chance to work at the intersection of technology and social impact. You'll be part of a venture-backed company (supported by Bessemer Venture Partners, Bain Capital Ventures, and others) that's using cutting-edge AI to make legal representation more accessible and effective. If you're passionate about using technology to foster a more just world while working with a world-class team, this role offers the perfect blend of innovation, impact, and growth.

Frontend Engineer role at EvenUp, building AI-driven legal platform interfaces using React and TypeScript, hybrid work in SF or Toronto, $145K-$250K + equity.

Software Engineer - Frontend (All Levels)

EvenUp is on a mission to level the playing field in personal injury cases by applying machine learning and AI to reduce manual effort and maximize case outcomes across the personal injury value chain.

EvenUp is seeking a Staff Machine Learning Engineer to join their mission of supporting injury law firms across America. The role involves leveraging large language models (LLMs) to bring fairness and accessibility to the legal system. As a Staff ML Engineer, you'll stay on top of the latest ML advancements, build and deploy models in production, set team best practices for prompt engineering, provide technical leadership, and act as a strategic advisor. The ideal candidate should have 10+ years of experience in machine learning, a PhD in a quantitative field, strong proficiency with LLMs, expertise in various ML areas, and strong leadership skills. EvenUp offers a range of benefits including health insurance, flexible PTO, and a 401k for US-based employees. The company is backed by top VCs and is committed to diversity and inclusion.

Key Responsibilities:
• Stay current with ML and prompt engineering advancements
• Build and deploy impactful production models
• Set team best practices for prompt engineering
• Provide technical leadership and mentorship
• Act as a strategic advisor on ML-driven business impact
• Own technical roadmaps and integrate research into scalable solutions

Requirements:
• 10+ years of ML experience with deployed models
• PhD in Machine Learning, Computer Science, or related field
• Strong proficiency with LLMs
• Expertise in areas like deep learning, reinforcement learning, etc.
• Strong communication and leadership skills
• High proficiency in a procedural programming language (e.g., Python)
• Ability to apply cutting-edge research to practical solutions

EvenUp combines in-house legal expertise with AI to analyze records and provide insights, automation, and document creation for personal injury law firms. They are headquartered in San Francisco and backed by top VCs including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, NFX, and DCM.

Join EvenUp as a Staff Machine Learning Engineer to leverage LLMs in bringing fairness to the legal system for injury law firms across America.

Staff Machine Learning Engineer

EvenUp is seeking an exceptional Machine Learning Engineering Manager to lead our talented team of Machine Learning Engineers and play a pivotal role in shaping the direction of our product. As an experienced leader, you will contribute hands-on with coding and modeling, as well as mentor, build, and guide your team to success. Your strong practical experience will be critical as we aim to push the boundaries of technology and remain at the forefront of the rapidly evolving technological advancements in machine learning.

In this role, you will have the opportunity to make a meaningful impact on victims' lives while working with a talented interdisciplinary team of passionate individuals - with backgrounds in industry and academic research in physics, ML, neuroscience, and more. The success of your team's output directly connects to the success of our business, providing ample opportunity for growth and advancement of you and your team.

Key Responsibilities:
- Develop and implement career progression frameworks for direct reports
- Provide mentorship, coaching, and resources for team development
- Foster a culture of continuous learning and professional growth
- Collaborate with engineering and product teams on strategic direction
- Coordinate with cross-functional partners on product priorities
- Lead data-driven strategy discussions
- Drive advanced in-context learning initiatives with LLMs
- Fine-tune LLM models for specific contexts or domains
- Implement RAG status indicators and synthetic evaluation techniques

Requirements:
- Bachelor's degree in Computer Science, Machine Learning, Statistics, or related field (advanced degree preferred)
- Strong proficiency with latest Large Language Model (LLM) technologies
- High proficiency in a procedural programming language (e.g. Python)
- Strong communication and leadership skills
- Experience in legal or healthcare technology fields is a plus

EvenUp offers competitive benefits including medical, dental, and vision insurance, flexible PTO, 401k for US-based employees, and a home office stipend for remote roles. Join us in our mission to foster a more just world through innovative technology solutions in the personal injury law sector.

Lead a team of ML Engineers at EvenUp, shaping product direction and advancing LLM technologies to revolutionize personal injury law representation.

Machine Learning Engineering Manager

EvenUp is on a mission to support injury law firms across America in providing a consistent and high standard of representation, ensuring that every injury victim who seeks legal assistance can expect a fair resolution.

EvenUp is on a mission to support injury law firms across America in providing a consistent and high standard of representation, ensuring that every injury victim who seeks legal assistance can expect a fair resolution. We've helped thousands of victims get fair compensation by empowering their representation with best-in-class insights, automation, and document creation.

As a Frontend Software Engineer on EvenUp's Demands Product Engineering Team, you'll work closely with our AI, Legal, and GTM teams to scope and implement solutions that increase the speed, velocity, and quality of the products that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible user-centric products and who are passionate about building the future of generative AI products.

Initiatives could include:
- Enhancing the capabilities of EvenUp's AI-native and human-in-the-loop workflows
- Implementing and integrating LLM-based solutions that immediately improve outcomes for our customers
- Developing the systems to evaluate the efficacy and quality of key customer deliverables
- Contributing to the evolution of EvenUp's flagship Demands product at the bleeding edge of the present-day AI revolution

This is a hybrid role with 2-3 days per week spent collaborating with the team in the office. We are open to applicants located in either the Greater Toronto Area or in the San Francisco Bay Area.

What you'll do:
- Rapidly prototype and deliver innovative, zero-to-one solutions
- Collaborate with founders, product managers, and designers
- Establish best practices for architecture, coding, and delivery
- Deliver secure, compliant code for sensitive data
- Mentor team members and contribute to team culture
- Handle on-call responsibilities

What we look for:
- Extensive experience in building frameworks, libraries, and distributed systems
- Proficiency with modern frontend technologies (TypeScript, React, JavaScript, CSS, DOM)
- 3+ years of frontend development experience
- Ability to craft and deliver high-quality software solutions
- Track record of successfully delivering complex projects
- Experience working in dynamic, fast-paced environments
- Excellent communication skills
- Strong ownership and personal accountability

EvenUp offers competitive benefits including medical, dental, and vision insurance, flexible PTO, and a 401k for US-based employees. Join us in our mission to level the playing field in personal injury cases!

Frontend Software Engineer role at EvenUp, working on AI-powered solutions for injury law firms. Hybrid work in Toronto or San Francisco.

Frontend Software Engineer, Demands Product Engineering

EvenUp is seeking a Fullstack Software Engineer to join their Demands Product Engineering Team. This role is crucial in developing AI-driven solutions for injury law firms across America. The ideal candidate will work on enhancing AI-native workflows, implementing LLM-based solutions, and contributing to the evolution of EvenUp's flagship Demands product.

As a Fullstack Software Engineer, you'll collaborate with AI, Legal, and GTM teams to build user-centric products that increase the speed, velocity, and quality of EvenUp's offerings. Your responsibilities will include integrating traditional SaaS with AI applications, rapidly prototyping features, and establishing best practices for architecture and coding.

The role requires extensive experience in building frameworks and distributed systems, proficiency in Python and modern frontend technologies like TypeScript and React, and a track record of delivering complex projects. You'll need strong communication skills and the ability to thrive in a fast-paced startup environment.

EvenUp offers a hybrid work model with 2-3 days per week in the office, located either in the Greater Toronto Area or the San Francisco Bay Area. The company provides competitive benefits, including health insurance options, flexible PTO, and a 401k for US-based employees.

Join EvenUp in their mission to ensure fair compensation for personal injury victims by leveraging cutting-edge AI technology in the legal sector. This role offers an opportunity to work at the forefront of AI innovation while making a significant impact on the lives of injury victims seeking justice.

Join EvenUp as a Fullstack Software Engineer to build AI-driven solutions for injury law firms, ensuring fair compensation for victims.

EvenUp Engineering Jobs

AI startup focused on leveling the playing field for personal injury victims through innovative legal technology solutions.