|
Current Statistics
1,581,556 Total Jobs
240,909 Jobs Today
17,821 Cities
222,734 Job Seekers
146,855 Resumes |
|
|
 |
|
 |
 |
Staff Machine Learning Engineer - San Francisco California
Company: EvenUp
Location: San Francisco, California
Posted On: 01/30/2025
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. In fact, we already have a number of areas where we exceed the publicly known SOTA and this person will help us expand beyond.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: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:
|
 |
 |
 |
 |
|
|
RSS Job Feeds