Staff Machine Learning Engineer

EvenUp; Canada; Remote; USD 90,000 - 160,000; Full time

Job summary

Join a forward-thinking company on a mission to enhance the legal landscape through innovative machine learning solutions. As a Staff Machine Learning Engineer, you will leverage your extensive experience and expertise in LLM technologies to guide an interdisciplinary team in developing cutting-edge AI-driven applications. Your role will involve building impactful models, mentoring skilled professionals, and collaborating with various stakeholders to drive business success. This is an exciting opportunity to make a meaningful difference in the personal injury law sector, where your contributions will help ensure fair representation for every victim. If you are passionate about technology and its potential to transform lives, this role is perfect for you.

Benefits

Medical, dental, and vision insurance

Flexible paid time off

Home office upgrade stipend

401k for US-based employees

Qualifications

• 10+ years of experience in machine learning with multiple models deployed.
• Strong proficiency with LLM technologies and procedural programming like Python.

Responsibilities

• Direct the team to adjust direction based on ML advancements.
• Build and deploy models that impact customer lives.
• Provide technical leadership and mentorship to the team.

Skills

Machine Learning

Large Language Models (LLMs)

Deep Learning

Python

Reinforcement Learning

Probabilistic Modeling

Optimization

Technical Leadership

Mentorship

Communication

Education

PhD in Machine Learning

PhD in Computer Science

PhD in a quantitative field

Tools

Machine Learning Frameworks

Data Science Tools

Job description

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.

At EvenUp, we leverage the power of technology to bring fairness and accessibility to the legal system. Large language models (LLMs) are a new type of intelligence and represent an important part of our technology strategy. To fully realize the potential of this technology, we recognize the need for a systematic, creative, and rigorous approach to instructing LLMs and evaluating their output.

With the field of prompt engineering still evolving, finding the right expertise can be a challenge. 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.

What you'll do:

• Stay on top of the latest advancements in ML and prompt engineering and direct the team to adjust direction accordingly.
• Build and deploy models in production that tangibly impact the lives of our customers.
• Help set team best practices on how prompting experimentation and development is done; design and implement efficient procedures for benchmarking and optimizing prompt performance.
• Provide technical leadership and mentorship for a highly skilled team of data scientists and machine learning engineers, guiding them in solving complex business problems.
• Act as a strategic advisor for leaders across the organization on driving business impact through machine learning.
• Own technical roadmaps and work closely with engineers, product managers, and other stakeholders to integrate research findings into scalable, production-ready solutions.

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 field.
• 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.

Benefits & Perks:

• Choice of medical, dental, and vision insurance plans for you and your family.
• Flexible paid time off and 10+ holidays per year.
• A stipend to upgrade your home office for fully-remote roles.
• 401k for US-based employees.

Please note the above benefits & perks are for full-time employees.

About EvenUp:

EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco.

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.