EvenUp

Benefits:

• 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

Education Requirements:

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred

Experience Requirements:

• Experience building machine learning systems deployed to production

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

Other Requirements:

• 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

Responsibilities:

• 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

Benefits:

• 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

Education Requirements:

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred

Experience Requirements:

• 2 years of experience in a people management role with direct reports, excluding tech lead positions

Other Requirements:

• Strong proficiency with the latest Large Language Model (LLM) technologies

• High proficiency in a procedural programming language (e.g. Python)

• Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders

• Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members

• Previous experience in the legal or healthcare technology fields is a plus, but not required

Responsibilities:

• Develop and implement career progression frameworks to guide the growth of your direct reports

• Provide mentorship, coaching, and resources to support the technical and career development of team members

• Foster a culture of continuous learning and professional growth within the organization

• Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad

• Coordinate with cross-functional partners to align on product priorities and roadmap objectives

Benefits:

• 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

Education Requirements:

• PhD in Machine Learning, Computer Science, or other quantitive field

Experience Requirements:

• 10+ years of experience in machine learning with multiple models deployed in operational settings

Other Requirements:

• 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

Responsibilities:

• 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