Machine Learning Engineer

3 weeks ago

San Francisco, United States EvenUp Full time

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.

We are looking for multiple levels of machine learning engineers who are passionate about building production machine learning products with a world-class team headed up by Matyas (lead early and foundational teams at Quora and Uber). You will have immense opportunities to work on a broad range of business/technical problems and technologies, build machine learning models, and design/automate/deploy production machine learning pipelines. We share a passion for problem-solving, new technologies, and learning, so you will be highly encouraged to explore new technologies and develop innovative solutions that could take the team's machine-learning engineering capability to the next level.

This is a hybrid role with 2-3 days per week spent collaborating with our team in the San Francisco office. This role is open to applicants located in the San Francisco Bay Area.

What you'll do:

  • You will build and deploy machine learning models in production that tangibly impact the lives of our customers

  • You will be a strategic partner for leaders across the organization on driving business impact through machine learning

  • Build strong partnerships with product teams to understand and proactively address future technology needs and current developer pain points

  • Develop methods and algorithms from first principles where necessary as opposed to relying fully on packaged third-party solutions

What we look for:

  • Experience building machine learning systems deployed to production

  • Industry or research experience in NLP, information retrieval, or entity resolution

  • Ability to communicate technical ideas or issues in easy-to-understand and actionable terms

  • Ability to translate theory and new ideas into practical shippable solutions

  • Ability to learn quickly and proactively seek-out opportunities to work cross-functionally and with a diverse group of people

  • Someone who thrives on data-driven development and is always looking for ways to analyze and improve with data

  • Someone who's looking for new challenges to take their craft to the next level

Job title and level to be determined based on candidate’s background.

Benefits & Perks:

Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, we offer:

  • 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. Learn more at www.evenuplaw.com.

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.

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