Location San Francisco (hybrid), Toronto (hybrid) Employment Type Full time Location Type Hybrid Department Data Science Compensation San Francisco $215K - $323K • Offers Equity Toronto, Canada CA$180K - CA$271K • Offers Equity The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities. EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . About the team At EvenUp, we leverage cutting edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise in data quality, robust model development, and ongoing innovation. That's why we're seeking a Staff Machine Learning Engineer eager to join EvenUp's mission. Our interdisciplinary team - with backgrounds in industry as well as academic research in physics, ML, neuroscience, and more - hopes to foster an environment where we can systematically discover state of the art techniques and be the best in the world at applying them to the challenging problems we encounter in the legal domain. In fact, we already have a number of areas where we exceed the publicly known SOTA and this person will help us expand beyond. This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs in San Francisco and Toronto. What you'll do Develop Advanced Document AI Models Design and refine ML models for entity/relationship extraction, document structure understanding, and sophisticated information retrieval and reasoning from legal and medical text. Conduct hands on data analysis to ensure high quality training and evaluation datasets, including identification and management of outliers, mislabeled data, edge cases, noise, and drift; work with data stakeholders to iteratively improve data quality. Solve Complex Modeling Challenges Tackle long context and multi document reasoning challenges, including prompt design, context segmentation, and aggregation of distributed facts. Develop strategies to reduce hallucinations, improve factual consistency, and handle ambiguous, noisy, or incomplete data. Lead LLM Fine tuning Apply reinforcement learning with verifiable reward signals to fine tune LLMs for factual and extraction accuracy. Apply parameter efficient fine tuning (e.g., LoRA, QLoRA) to maximize model performance. Experiment with and benchmark advanced prompt engineering techniques (few shot, chain of thought, instruction tuning), balancing context length and extraction accuracy. Provide Leadership & Collaboration Mentor and guide a team of ML engineers and data scientists, fostering a rigorous and creative modeling culture. Collaborate with product, engineering, and legal experts to deliver robust, business impactful solutions. Establish and maintain best practices for experimentation, benchmarking, and documentation in modeling. What we look for 10+ years of experience in machine learning with multiple models deployed in operational settings. PhD in Machine Learning, Computer Science, or other quantitative fields. Strong proficiency with the latest Large Language Model (LLM) technologies. Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization. Strong communication, collaboration, and coaching skills. High proficiency in a procedural programming language (e.g. Python). Ability to translate and apply cutting edge research into practical solutions. Strong leadership and mentorship abilities, with a passion for guiding and developing other team members. Job title and level to be determined by several factors including on the candidate's background and experience and interview. Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the no or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at . Examples of fraudulent domains include and . Benefits & Perks As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Please note the above benefits & perks are for full time employees. EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $215K - $323K
04/02/2026
Full time
Location San Francisco (hybrid), Toronto (hybrid) Employment Type Full time Location Type Hybrid Department Data Science Compensation San Francisco $215K - $323K • Offers Equity Toronto, Canada CA$180K - CA$271K • Offers Equity The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities. EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . About the team At EvenUp, we leverage cutting edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise in data quality, robust model development, and ongoing innovation. That's why we're seeking a Staff Machine Learning Engineer eager to join EvenUp's mission. Our interdisciplinary team - with backgrounds in industry as well as academic research in physics, ML, neuroscience, and more - hopes to foster an environment where we can systematically discover state of the art techniques and be the best in the world at applying them to the challenging problems we encounter in the legal domain. In fact, we already have a number of areas where we exceed the publicly known SOTA and this person will help us expand beyond. This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs in San Francisco and Toronto. What you'll do Develop Advanced Document AI Models Design and refine ML models for entity/relationship extraction, document structure understanding, and sophisticated information retrieval and reasoning from legal and medical text. Conduct hands on data analysis to ensure high quality training and evaluation datasets, including identification and management of outliers, mislabeled data, edge cases, noise, and drift; work with data stakeholders to iteratively improve data quality. Solve Complex Modeling Challenges Tackle long context and multi document reasoning challenges, including prompt design, context segmentation, and aggregation of distributed facts. Develop strategies to reduce hallucinations, improve factual consistency, and handle ambiguous, noisy, or incomplete data. Lead LLM Fine tuning Apply reinforcement learning with verifiable reward signals to fine tune LLMs for factual and extraction accuracy. Apply parameter efficient fine tuning (e.g., LoRA, QLoRA) to maximize model performance. Experiment with and benchmark advanced prompt engineering techniques (few shot, chain of thought, instruction tuning), balancing context length and extraction accuracy. Provide Leadership & Collaboration Mentor and guide a team of ML engineers and data scientists, fostering a rigorous and creative modeling culture. Collaborate with product, engineering, and legal experts to deliver robust, business impactful solutions. Establish and maintain best practices for experimentation, benchmarking, and documentation in modeling. What we look for 10+ years of experience in machine learning with multiple models deployed in operational settings. PhD in Machine Learning, Computer Science, or other quantitative fields. Strong proficiency with the latest Large Language Model (LLM) technologies. Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization. Strong communication, collaboration, and coaching skills. High proficiency in a procedural programming language (e.g. Python). Ability to translate and apply cutting edge research into practical solutions. Strong leadership and mentorship abilities, with a passion for guiding and developing other team members. Job title and level to be determined by several factors including on the candidate's background and experience and interview. Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the no or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at . Examples of fraudulent domains include and . Benefits & Perks As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Please note the above benefits & perks are for full time employees. EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $215K - $323K
Location San Francisco (hybrid) Employment Type Full time Location Type Hybrid Department Engineering Compensation $114.8K - $317.2K • Offers Equity The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities. EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . ? Life as an Engineer at EvenUp Location & Work Model This is a hybrid role, 3x per week at our SF office three days per week. About the Team Join EvenUp's AI Platform team, dedicated to making large language models (LLMs) more accessible, scalable, and impactful across the engineering organization. We build leading LLM-powered systems for the legal industry, transforming how complex legal documents are extracted, summarized, and structured for use by our clients every day. This role operates at the intersection of backend engineering, LLM integration, and hands-on experimentation. You will collaborate with a multidisciplinary team of Data Scientists, Researchers, and Software Engineers to tackle challenging generative AI problems. Together, we maintain the foundational infrastructure enabling EvenUp's product teams to leverage LLMs safely and efficiently at scale. This is an excellent opportunity for engineers seeking deep technical ownership, backend system design, and work on innovative platforms that create impact across an entire company-while contributing to technology that advances fairness and accessibility within the legal system. Responsibilities Design, build, and enhance scalable backend systems supporting LLM-driven products and internal platforms Own infrastructure and services for reliable deployment, experimentation, and iteration of AI-powered systems Collaborate with engineering teams to gather requirements and deliver reusable, scalable solutions Influence the technical direction and long-term architecture of EvenUp's AI platform Maintain high standards for reliability, performance, observability, and maintainability Drive projects from early design through deployment, monitoring, and iterative improvement What You'll Do Backend Systems & Infrastructure: Lead the design, development, and optimization of robust backend systems for deploying LLM-based algorithms and services End-to-End Ownership: Manage projects through their complete lifecycle-from architecture to deployment, monitoring, and improvement Cross-Team Enablement: Work with other engineering teams to understand use cases and deliver scalable platform solutions Engineering Excellence: Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch) Growth & Collaboration: Grow as an engineer working alongside world-class peers on impactful, cutting-edge generative AI projects What We Look For Extensive experience building frameworks, libraries, and distributed systems with a focus on reliability, observability, and performance Proficiency delivering production-ready code, managing infrastructure, and building RESTful APIs to industry standards Experience owning and delivering complex technical projects Success in startup or high-growth environments valuing speed, collaboration, and ownership Proficiency in Python or other languages (Go, Java, C++) Strong written and verbal communication skills, with proven cross-disciplinary collaboration Bonus (Nice to Have) Background with AI systems, LLMs, or machine learning infrastructure Experience in legal tech or social impact-driven products Prior work supporting internal platforms or developer-facing tools Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at . Examples of fraudulent domains include and Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short-term and long-term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US-based employees and RRSP for Canada-based employees Paid parental leave A local in-person meet-up program Hubs in San Francisco and Toronto Please note the above benefits & perks are for full-time employees EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $114.8K - $317.2K
04/02/2026
Full time
Location San Francisco (hybrid) Employment Type Full time Location Type Hybrid Department Engineering Compensation $114.8K - $317.2K • Offers Equity The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities. EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . ? Life as an Engineer at EvenUp Location & Work Model This is a hybrid role, 3x per week at our SF office three days per week. About the Team Join EvenUp's AI Platform team, dedicated to making large language models (LLMs) more accessible, scalable, and impactful across the engineering organization. We build leading LLM-powered systems for the legal industry, transforming how complex legal documents are extracted, summarized, and structured for use by our clients every day. This role operates at the intersection of backend engineering, LLM integration, and hands-on experimentation. You will collaborate with a multidisciplinary team of Data Scientists, Researchers, and Software Engineers to tackle challenging generative AI problems. Together, we maintain the foundational infrastructure enabling EvenUp's product teams to leverage LLMs safely and efficiently at scale. This is an excellent opportunity for engineers seeking deep technical ownership, backend system design, and work on innovative platforms that create impact across an entire company-while contributing to technology that advances fairness and accessibility within the legal system. Responsibilities Design, build, and enhance scalable backend systems supporting LLM-driven products and internal platforms Own infrastructure and services for reliable deployment, experimentation, and iteration of AI-powered systems Collaborate with engineering teams to gather requirements and deliver reusable, scalable solutions Influence the technical direction and long-term architecture of EvenUp's AI platform Maintain high standards for reliability, performance, observability, and maintainability Drive projects from early design through deployment, monitoring, and iterative improvement What You'll Do Backend Systems & Infrastructure: Lead the design, development, and optimization of robust backend systems for deploying LLM-based algorithms and services End-to-End Ownership: Manage projects through their complete lifecycle-from architecture to deployment, monitoring, and improvement Cross-Team Enablement: Work with other engineering teams to understand use cases and deliver scalable platform solutions Engineering Excellence: Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch) Growth & Collaboration: Grow as an engineer working alongside world-class peers on impactful, cutting-edge generative AI projects What We Look For Extensive experience building frameworks, libraries, and distributed systems with a focus on reliability, observability, and performance Proficiency delivering production-ready code, managing infrastructure, and building RESTful APIs to industry standards Experience owning and delivering complex technical projects Success in startup or high-growth environments valuing speed, collaboration, and ownership Proficiency in Python or other languages (Go, Java, C++) Strong written and verbal communication skills, with proven cross-disciplinary collaboration Bonus (Nice to Have) Background with AI systems, LLMs, or machine learning infrastructure Experience in legal tech or social impact-driven products Prior work supporting internal platforms or developer-facing tools Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at . Examples of fraudulent domains include and Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short-term and long-term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US-based employees and RRSP for Canada-based employees Paid parental leave A local in-person meet-up program Hubs in San Francisco and Toronto Please note the above benefits & perks are for full-time employees EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $114.8K - $317.2K
A rapidly growing SaaS company is seeking a Machine Learning Engineer to develop AI solutions that enhance the legal process. This role, based in San Francisco, involves designing ML systems, building data pipelines, and collaborating on cutting-edge projects. Ideal candidates have a background in machine learning, natural language processing, and strong programming skills. A competitive salary range of $176K to $265K is offered, along with a hybrid work model.
04/02/2026
Full time
A rapidly growing SaaS company is seeking a Machine Learning Engineer to develop AI solutions that enhance the legal process. This role, based in San Francisco, involves designing ML systems, building data pipelines, and collaborating on cutting-edge projects. Ideal candidates have a background in machine learning, natural language processing, and strong programming skills. A competitive salary range of $176K to $265K is offered, along with a hybrid work model.
A leading legal technology firm in San Francisco is seeking an experienced frontend engineer to deliver high-quality systems for document generation. You will work cross-functionally and lead architectural decisions while mentoring teammates. Ideal candidates have at least 5 years of experience in frontend applications with strong skills in TypeScript, React, and JavaScript in a startup environment. This hybrid role offers competitive compensation and a comprehensive benefits package.
04/02/2026
Full time
A leading legal technology firm in San Francisco is seeking an experienced frontend engineer to deliver high-quality systems for document generation. You will work cross-functionally and lead architectural decisions while mentoring teammates. Ideal candidates have at least 5 years of experience in frontend applications with strong skills in TypeScript, React, and JavaScript in a startup environment. This hybrid role offers competitive compensation and a comprehensive benefits package.
A rapidly growing tech firm is seeking a Staff Software Engineer, Platform to enhance backend systems driving LLM-powered products. This hybrid role focuses on building reliable, scalable systems for AI applications while collaborating across teams. Ideal candidates should be proficient in Python, possess strong leadership skills, and have experience in system design. The company offers competitive pay, flexible benefits, and a commitment to diversity.
04/02/2026
Full time
A rapidly growing tech firm is seeking a Staff Software Engineer, Platform to enhance backend systems driving LLM-powered products. This hybrid role focuses on building reliable, scalable systems for AI applications while collaborating across teams. Ideal candidates should be proficient in Python, possess strong leadership skills, and have experience in system design. The company offers competitive pay, flexible benefits, and a commitment to diversity.
Senior Machine Learning Engineer - Systems EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. EvenUp is one of the fastest growing vertical SaaS companies in history and is backed by top VCs including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Base pay range: $176,000 - $265,000 per year. Core Responsibilities Design and implement end to end ML systems for retrieval augmented generation (RAG), vector search, and fine tuning pipelines. Build and optimize data pipelines that integrate structured, unstructured, and embeddings based data into ML workflows. Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models. Collaborate with data scientists and product teams to translate business problems into ML system designs. Research, prototype, and productionize state of the art techniques in semantic search, embeddings, and prompt engineering. Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human in the loop workflows. Ensure scalability and efficiency of ML workflows, including large scale embedding generation and retrieval pipelines. Work with machine learning platform engineers to integrate ML frameworks into production environments. Document system architectures and create internal best practices for building ML/AI frameworks. Optional Skills Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch). Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines). Strong software engineering skills (Python, distributed computing, APIs). Strong knowledge of transformer models (LLMs, embeddings, fine tuning methods like LoRA, PEFT). Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding). Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We only post open roles on our career page () or reputable job boards. All official EvenUp recruitment emails will come from the no , or no . We do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to talent ops . Examples of fraudulent domains include "careers " and "careers ". Benefits & Perks Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Equal Opportunity Statement EvenUp is an equal opportunity employer. We are committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Position Details Seniority level: Mid Senior level Employment type: Full time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
04/02/2026
Full time
Senior Machine Learning Engineer - Systems EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. EvenUp is one of the fastest growing vertical SaaS companies in history and is backed by top VCs including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Base pay range: $176,000 - $265,000 per year. Core Responsibilities Design and implement end to end ML systems for retrieval augmented generation (RAG), vector search, and fine tuning pipelines. Build and optimize data pipelines that integrate structured, unstructured, and embeddings based data into ML workflows. Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models. Collaborate with data scientists and product teams to translate business problems into ML system designs. Research, prototype, and productionize state of the art techniques in semantic search, embeddings, and prompt engineering. Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human in the loop workflows. Ensure scalability and efficiency of ML workflows, including large scale embedding generation and retrieval pipelines. Work with machine learning platform engineers to integrate ML frameworks into production environments. Document system architectures and create internal best practices for building ML/AI frameworks. Optional Skills Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch). Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines). Strong software engineering skills (Python, distributed computing, APIs). Strong knowledge of transformer models (LLMs, embeddings, fine tuning methods like LoRA, PEFT). Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding). Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We only post open roles on our career page () or reputable job boards. All official EvenUp recruitment emails will come from the no , or no . We do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to talent ops . Examples of fraudulent domains include "careers " and "careers ". Benefits & Perks Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Equal Opportunity Statement EvenUp is an equal opportunity employer. We are committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Position Details Seniority level: Mid Senior level Employment type: Full time Job function: Engineering and Information Technology Industries: Technology, Information and Internet
Location San Francisco (hybrid) Employment Type Full time Location Type Hybrid Department Engineering Compensation $114.8K - $317.2K • Offers Equity The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities. EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . ? Life as an Engineer at EvenUp Location & Work Model This is a hybrid role, with an expectation of being in our SF office three days per week. About the Team The Document Generation team at EvenUp builds best-in-class, AI-native products that help attorneys better represent their clients and achieve stronger outcomes. With over $1.5B in damages claimed to date, the team is pushing the boundaries of what's possible in legal document generation. The team owns EvenUp Demands, our flagship product that enables higher settlements and faster resolution times, as well as Medical Chronologies, our newest and fastest-growing product-a true startup within a startup. Medical Chronologies delivers comprehensive, high-quality medical summaries that elevate legal representation across both pre-litigation and litigation. As part of this team, you'll work on complex, high-impact problems at the intersection of frontend engineering, AI-powered workflows, and user experience-helping shape the future of AI-driven legal technology. Responsibilities Deliver high-quality frontend systems that power core document generation experiences Partner cross-functionally with Product, Design, and Engineering to scope and deliver impactful solutions Lead frontend architecture decisions to ensure scalability, maintainability, and performance Uphold high standards for security, reliability, and compliance across customer-facing systems Contribute to team culture through mentorship, feedback, and continuous improvement What You'll Do Build and evolve user-facing workflows that integrate traditional SaaS patterns with modern AI-driven functionality. Rapidly prototype and ship new features that deliver immediate customer value. Work closely with product managers, designers, founders, and engineers to scope, design, and deliver high-impact solutions. Lead frontend architecture and engineering best practices across complex, high-scale systems. Deliver secure, compliant, and production-ready code, ensuring reliability through testing, reviews, and performance monitoring. Participate in on-call rotations, incident resolution, and documentation to maintain operational excellence. Mentor teammates through thoughtful feedback and active participation in team culture and continuous improvement What We Look For 5+ years of experience building modern frontend applications using TypeScript, React, JavaScript, CSS, and the DOM Strong experience designing and building reliable, observable, and performant systems Proven ability to deliver production-ready software, including frontend architectures and API integrations Track record of owning and delivering complex projects end-to-end Comfort operating in fast-paced, startup environments with evolving requirements Excellent communication and collaboration skills across cross-functional teams High ownership, strong accountability, and a problem-solving Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at . Examples of fraudulent domains include and . Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short-term and long-term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US-based employees and RRSP for Canada-based employees Paid parental leave A local in-person meet-up program Hubs in San Francisco and Toronto Please note the above benefits & perks are for full-time employees EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $114.8K - $317.2K
04/02/2026
Full time
Location San Francisco (hybrid) Employment Type Full time Location Type Hybrid Department Engineering Compensation $114.8K - $317.2K • Offers Equity The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities. EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . ? Life as an Engineer at EvenUp Location & Work Model This is a hybrid role, with an expectation of being in our SF office three days per week. About the Team The Document Generation team at EvenUp builds best-in-class, AI-native products that help attorneys better represent their clients and achieve stronger outcomes. With over $1.5B in damages claimed to date, the team is pushing the boundaries of what's possible in legal document generation. The team owns EvenUp Demands, our flagship product that enables higher settlements and faster resolution times, as well as Medical Chronologies, our newest and fastest-growing product-a true startup within a startup. Medical Chronologies delivers comprehensive, high-quality medical summaries that elevate legal representation across both pre-litigation and litigation. As part of this team, you'll work on complex, high-impact problems at the intersection of frontend engineering, AI-powered workflows, and user experience-helping shape the future of AI-driven legal technology. Responsibilities Deliver high-quality frontend systems that power core document generation experiences Partner cross-functionally with Product, Design, and Engineering to scope and deliver impactful solutions Lead frontend architecture decisions to ensure scalability, maintainability, and performance Uphold high standards for security, reliability, and compliance across customer-facing systems Contribute to team culture through mentorship, feedback, and continuous improvement What You'll Do Build and evolve user-facing workflows that integrate traditional SaaS patterns with modern AI-driven functionality. Rapidly prototype and ship new features that deliver immediate customer value. Work closely with product managers, designers, founders, and engineers to scope, design, and deliver high-impact solutions. Lead frontend architecture and engineering best practices across complex, high-scale systems. Deliver secure, compliant, and production-ready code, ensuring reliability through testing, reviews, and performance monitoring. Participate in on-call rotations, incident resolution, and documentation to maintain operational excellence. Mentor teammates through thoughtful feedback and active participation in team culture and continuous improvement What We Look For 5+ years of experience building modern frontend applications using TypeScript, React, JavaScript, CSS, and the DOM Strong experience designing and building reliable, observable, and performant systems Proven ability to deliver production-ready software, including frontend architectures and API integrations Track record of owning and delivering complex projects end-to-end Comfort operating in fast-paced, startup environments with evolving requirements Excellent communication and collaboration skills across cross-functional teams High ownership, strong accountability, and a problem-solving Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at . Examples of fraudulent domains include and . Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short-term and long-term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US-based employees and RRSP for Canada-based employees Paid parental leave A local in-person meet-up program Hubs in San Francisco and Toronto Please note the above benefits & perks are for full-time employees EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $114.8K - $317.2K
Join to apply for the Staff Software Engineer, Platform role at EvenUp 4 days ago - Be among the first 25 applicants This range is provided by EvenUp. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $114,750 / yr - $317,202 / yr EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We're looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . Location & Work Model This is a hybrid role, with an expectation of being in our SF office three days per week. About the Team The AI Platform team is responsible for building the foundational systems that make large language models accessible, reliable, and scalable across EvenUp's engineering organization. Sitting at the intersection of backend engineering, ML systems, and platform enablement, this team empowers product and application teams to safely and efficiently leverage LLMs in production. The team has already built and deployed industry leading legal AI models that extract, structure, and summarize complex documents used by clients every day. Their work directly powers EvenUp's ability to deliver faster, higher quality outcomes for injury victims-bringing greater fairness, accessibility, and leverage to an otherwise opaque legal system. What makes this team unique is its deeply technical, multi disciplinary collaboration between Data Scientists, ML Researchers, and Software Engineers, all working together to bring AI systems into production at scale. The team is focused on building reliable, production grade AI platforms-not one off experiments-ensuring that LLM powered systems are robust, scalable, and safe to operate. By creating shared infrastructure and tooling, the AI Platform team has a high leverage impact across the entire engineering organization, enabling teams to move faster while maintaining high standards for quality and reliability. Responsibilities Own and evolve core backend systems and platforms that enable LLM powered products at scale. Drive the technical direction of complex, high impact initiatives with significant ambiguity. Partner closely with Product, ML, and Infrastructure teams to translate abstract requirements into robust engineering solutions. Design and deliver scalable, reliable, and maintainable systems that power production grade AI applications. Raise the technical bar through mentorship, best practices, and architectural leadership. Influence long term platform and infrastructure roadmaps with a focus on scalability, maintainability, and developer velocity. What You'll Do Execution & Delivery: Build, ship, and iterate on backend systems that support production grade LLM applications. Deliver high quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch). Architecture & Quality: Lead the architecture and design of resilient, scalable distributed systems. Establish and uphold best practices around system design, performance, observability, and reliability. Cross Functional Collaboration: Work closely with Product, ML, Data, and Infrastructure teams to scope, design, and deliver impactful solutions. Translate high level product needs into clear technical plans and execution paths. Ownership & Growth: Own projects end to end-from early design through deployment and continuous iteration. Mentor engineers and act as a force multiplier across the organization. Evaluate and introduce new tools and technologies to continuously improve platform capabilities. What We Look For Strong experience building and scaling backend systems, platforms, or infrastructure. Proven ability to lead complex technical initiatives across teams or domains. Deep understanding of distributed systems, system design, and technical trade off analysis. High standards for code quality, architecture, and long term maintainability. Proficiency in Python, with experience in additional languages such as NodeJS, Go, Java, or C++. Clear, structured communication and the ability to influence cross functional stakeholders. Comfort operating in fast paced, high growth, and ambiguous environments. A strong sense of ownership, accountability, and technical leadership. Bonus (Nice to Have) Experience working with AI/ML systems or LLM powered applications. Exposure to AI platforms, developer enablement tooling, or ML heavy environments. Background in legal tech, mission driven products, or social impact engineering. Prior startup or scale up experience. Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page () or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the no or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent . Examples of fraudulent domains include "careers " and "careers ". Benefits & Perks Choice of medical, dental, and vision insurance plans for you and your family. Additional insurance coverage options for life, accident, or critical illness. Flexible paid time off, sick leave, short term and long term disability. 10 U.S. observed holidays, and Canadian statutory holidays by province. A home office stipend. 401(k) for U.S.-based employees and RRSP for Canada-based employees. Paid parental leave. A local in person meet up program. Hubs in San Francisco and Toronto. EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Technology, Information and Internet
04/02/2026
Full time
Join to apply for the Staff Software Engineer, Platform role at EvenUp 4 days ago - Be among the first 25 applicants This range is provided by EvenUp. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more. Base pay range $114,750 / yr - $317,202 / yr EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We're looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . Location & Work Model This is a hybrid role, with an expectation of being in our SF office three days per week. About the Team The AI Platform team is responsible for building the foundational systems that make large language models accessible, reliable, and scalable across EvenUp's engineering organization. Sitting at the intersection of backend engineering, ML systems, and platform enablement, this team empowers product and application teams to safely and efficiently leverage LLMs in production. The team has already built and deployed industry leading legal AI models that extract, structure, and summarize complex documents used by clients every day. Their work directly powers EvenUp's ability to deliver faster, higher quality outcomes for injury victims-bringing greater fairness, accessibility, and leverage to an otherwise opaque legal system. What makes this team unique is its deeply technical, multi disciplinary collaboration between Data Scientists, ML Researchers, and Software Engineers, all working together to bring AI systems into production at scale. The team is focused on building reliable, production grade AI platforms-not one off experiments-ensuring that LLM powered systems are robust, scalable, and safe to operate. By creating shared infrastructure and tooling, the AI Platform team has a high leverage impact across the entire engineering organization, enabling teams to move faster while maintaining high standards for quality and reliability. Responsibilities Own and evolve core backend systems and platforms that enable LLM powered products at scale. Drive the technical direction of complex, high impact initiatives with significant ambiguity. Partner closely with Product, ML, and Infrastructure teams to translate abstract requirements into robust engineering solutions. Design and deliver scalable, reliable, and maintainable systems that power production grade AI applications. Raise the technical bar through mentorship, best practices, and architectural leadership. Influence long term platform and infrastructure roadmaps with a focus on scalability, maintainability, and developer velocity. What You'll Do Execution & Delivery: Build, ship, and iterate on backend systems that support production grade LLM applications. Deliver high quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch). Architecture & Quality: Lead the architecture and design of resilient, scalable distributed systems. Establish and uphold best practices around system design, performance, observability, and reliability. Cross Functional Collaboration: Work closely with Product, ML, Data, and Infrastructure teams to scope, design, and deliver impactful solutions. Translate high level product needs into clear technical plans and execution paths. Ownership & Growth: Own projects end to end-from early design through deployment and continuous iteration. Mentor engineers and act as a force multiplier across the organization. Evaluate and introduce new tools and technologies to continuously improve platform capabilities. What We Look For Strong experience building and scaling backend systems, platforms, or infrastructure. Proven ability to lead complex technical initiatives across teams or domains. Deep understanding of distributed systems, system design, and technical trade off analysis. High standards for code quality, architecture, and long term maintainability. Proficiency in Python, with experience in additional languages such as NodeJS, Go, Java, or C++. Clear, structured communication and the ability to influence cross functional stakeholders. Comfort operating in fast paced, high growth, and ambiguous environments. A strong sense of ownership, accountability, and technical leadership. Bonus (Nice to Have) Experience working with AI/ML systems or LLM powered applications. Exposure to AI platforms, developer enablement tooling, or ML heavy environments. Background in legal tech, mission driven products, or social impact engineering. Prior startup or scale up experience. Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page () or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the no or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent . Examples of fraudulent domains include "careers " and "careers ". Benefits & Perks Choice of medical, dental, and vision insurance plans for you and your family. Additional insurance coverage options for life, accident, or critical illness. Flexible paid time off, sick leave, short term and long term disability. 10 U.S. observed holidays, and Canadian statutory holidays by province. A home office stipend. 401(k) for U.S.-based employees and RRSP for Canada-based employees. Paid parental leave. A local in person meet up program. Hubs in San Francisco and Toronto. EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Seniority Level Mid Senior level Employment Type Full time Job Function Engineering and Information Technology Industries Technology, Information and Internet
A tech-driven legal solutions company located in San Francisco seeks a full-time engineer to take ownership of core systems and product workflows. This hybrid position demands collaboration with cross-functional teams to design and deliver impactful software solutions that modernize legal processes. Candidates should possess strong software engineering skills and a commitment to high-quality standards in a rapidly growing environment.
04/02/2026
Full time
A tech-driven legal solutions company located in San Francisco seeks a full-time engineer to take ownership of core systems and product workflows. This hybrid position demands collaboration with cross-functional teams to design and deliver impactful software solutions that modernize legal processes. Candidates should possess strong software engineering skills and a commitment to high-quality standards in a rapidly growing environment.
A fast-growing legal tech company in San Francisco is seeking engineers for a hybrid role focused on designing and enhancing scalable backend systems. You will collaborate with Data Scientists and Software Engineers to build AI-powered products. Ideal candidates have extensive experience in backend development, delivering production-ready code, and working in high-growth environments. This role offers competitive compensation, including equity opportunities and flexible benefits.
04/02/2026
Full time
A fast-growing legal tech company in San Francisco is seeking engineers for a hybrid role focused on designing and enhancing scalable backend systems. You will collaborate with Data Scientists and Software Engineers to build AI-powered products. Ideal candidates have extensive experience in backend development, delivering production-ready code, and working in high-growth environments. This role offers competitive compensation, including equity opportunities and flexible benefits.
Location San Francisco (hybrid) Employment Type Full time Location Type Hybrid Department Engineering Compensation $114.8K - $317.2K • Offers Equity The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities. EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . ? Life as an Engineer at EvenUp Location & Work Model This is a hybrid role, with an expectation of being in our SF office three days per week. About the Team The New Products Engineering team is responsible for building and launching entirely new products that directly impact how personal injury attorneys serve their clients. Over the past year, EvenUp's engineering and data science organization has grown rapidly - from 40 to 100+ team members - alongside major infrastructure investments, new product launches, and significant workflow improvements across data, ML, frontend, and backend systems. Over the next 12 months, the team will continue to scale as we deliver on an ambitious roadmap to handle 10x our current volume and introduce new AI-powered products. The work this team does directly influences customer workflows and outcomes, ultimately impacting millions of people navigating the personal injury system. A true zero-to-one product focus with high ownership and autonomy, deep collaboration across engineering, product, data, ML, and operations, and a rare opportunity to modernize a historically analog industry at scale. Responsibilities Own and evolve core systems and product workflows that support the launch of new customer-facing products Partner closely with Product, Design, Data Science, and other Engineering teams to bring new ideas from concept to production Contribute to scalable, reliable, and high-quality software that can support rapid growth and increasing complexity Drive projects end-to-end, from early design and architecture through delivery and iteration Uphold high standards for performance, reliability, security, and maintainability Contribute to a strong, collaborative, and inclusive engineering culture What You'll Do Execution & Delivery: Build, ship, and iterate on new features and products that directly impact customer workflows. Start contributing production code quickly and help establish strong foundations for new systems Architecture & Quality: Design, implement, and maintain scalable and maintainable backend, frontend, or full-stack systems. Write high-quality, well-tested, and production-ready code. Help define and reinforce engineering best practices as the team scales Cross-Functional Collaboration: Work closely with Product Managers, Designers, Data Scientists, and other Engineers to scope and deliver impactful solutions. Communicate technical concepts clearly to both technical and non-technical stakeholders Ownership & Growth: Own projects from start to finish and drive them across the finish line. Mentor and support teammates, contributing to continuous learning and improvement. Learn and apply new technologies across the stack, including ML-adjacent systems, data pipelines, and DevOps workflows Tech Stack Exposure: Python, TypeScript, React, Postgres, Kubernetes, Elasticsearch, and more What We Look For Experience building high-quality, production-ready software in backend, frontend, or full-stack environments Strong understanding of software design, data modeling, and system architecture Ability to operate effectively in fast-paced, ambiguous environments Proven ability to own projects end-to-end and deliver meaningful outcomes Clear, thoughtful communication and strong cross-functional collaboration skills High ownership, accountability, and a bias toward action Demonstrated commitment to engineering excellence and team culture Bonus (Nice to Have) Experience with Kubernetes or cloud-native infrastructure Exposure to machine learning, data engineering, or AI-driven products Prior experience in startups, scale-ups, or high-growth environments Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page () or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at . Examples of fraudulent domains include and . Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short-term and long-term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US-based employees and RRSP for Canada-based employees Paid parental leave A local in-person meet-up program Hubs in San Francisco and Toronto Please note the above benefits & perks are for full-time employees EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $114.8K - $317.2K
04/02/2026
Full time
Location San Francisco (hybrid) Employment Type Full time Location Type Hybrid Department Engineering Compensation $114.8K - $317.2K • Offers Equity The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities. EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . ? Life as an Engineer at EvenUp Location & Work Model This is a hybrid role, with an expectation of being in our SF office three days per week. About the Team The New Products Engineering team is responsible for building and launching entirely new products that directly impact how personal injury attorneys serve their clients. Over the past year, EvenUp's engineering and data science organization has grown rapidly - from 40 to 100+ team members - alongside major infrastructure investments, new product launches, and significant workflow improvements across data, ML, frontend, and backend systems. Over the next 12 months, the team will continue to scale as we deliver on an ambitious roadmap to handle 10x our current volume and introduce new AI-powered products. The work this team does directly influences customer workflows and outcomes, ultimately impacting millions of people navigating the personal injury system. A true zero-to-one product focus with high ownership and autonomy, deep collaboration across engineering, product, data, ML, and operations, and a rare opportunity to modernize a historically analog industry at scale. Responsibilities Own and evolve core systems and product workflows that support the launch of new customer-facing products Partner closely with Product, Design, Data Science, and other Engineering teams to bring new ideas from concept to production Contribute to scalable, reliable, and high-quality software that can support rapid growth and increasing complexity Drive projects end-to-end, from early design and architecture through delivery and iteration Uphold high standards for performance, reliability, security, and maintainability Contribute to a strong, collaborative, and inclusive engineering culture What You'll Do Execution & Delivery: Build, ship, and iterate on new features and products that directly impact customer workflows. Start contributing production code quickly and help establish strong foundations for new systems Architecture & Quality: Design, implement, and maintain scalable and maintainable backend, frontend, or full-stack systems. Write high-quality, well-tested, and production-ready code. Help define and reinforce engineering best practices as the team scales Cross-Functional Collaboration: Work closely with Product Managers, Designers, Data Scientists, and other Engineers to scope and deliver impactful solutions. Communicate technical concepts clearly to both technical and non-technical stakeholders Ownership & Growth: Own projects from start to finish and drive them across the finish line. Mentor and support teammates, contributing to continuous learning and improvement. Learn and apply new technologies across the stack, including ML-adjacent systems, data pipelines, and DevOps workflows Tech Stack Exposure: Python, TypeScript, React, Postgres, Kubernetes, Elasticsearch, and more What We Look For Experience building high-quality, production-ready software in backend, frontend, or full-stack environments Strong understanding of software design, data modeling, and system architecture Ability to operate effectively in fast-paced, ambiguous environments Proven ability to own projects end-to-end and deliver meaningful outcomes Clear, thoughtful communication and strong cross-functional collaboration skills High ownership, accountability, and a bias toward action Demonstrated commitment to engineering excellence and team culture Bonus (Nice to Have) Experience with Kubernetes or cloud-native infrastructure Exposure to machine learning, data engineering, or AI-driven products Prior experience in startups, scale-ups, or high-growth environments Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page () or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at . Examples of fraudulent domains include and . Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short-term and long-term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US-based employees and RRSP for Canada-based employees Paid parental leave A local in-person meet-up program Hubs in San Francisco and Toronto Please note the above benefits & perks are for full-time employees EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $114.8K - $317.2K