Senior Full Stack Machine Learning Engineer

1 month ago

Remote, Oregon, United States LULA Full time

Get to Know LULA

Hey there We're LULA, a dynamic team on a mission to shake up the insurance industry and bring it kicking and screaming into the 21st century. How? By tackling the toughest customer pain points head-on and delivering top-notch experiences. Known as the Stripe for insurance, we began by simplifying the insurance buying process for everything on wheels. Now, we're in a phase of rapid growth. Forbes even named us on their Next Billion Dollar Start Up for 2023. Our revenue skyrocketed by 40x last year, but we believe we're just getting started. So, come join us for a once-in-a-lifetime opportunity and be a part of the next big thing.

Meet the Team

We're a tight-knit group of world-class experts, all on a shared mission to create cutting-edge conversational agents that will touch the life of every adult on the planet. We've got a number of world-firsts under our belt and we're on the lookout for go-getters who are eager to add to that list.

Your Role

As a Senior Full Stack Machine Learning Engineer, you'll:

  • Take charge of machine learning projects from start to finish, including data discovery, design, implementation, and deployment
  • Build unique datasets to train and test new ML capabilities
  • Device new and innovate ways to benchmark and evaluate LLMs for novel usecases
  • Take a skateboard → scooter → bike → motorcycle approach to go from customer focused prototypes to scalable production grade services
  • Share your insights and experiments proactively

What You Bring to the Table

  • 5+ years of engineering experience
  • Experience in a start-up or a similar fast-paced environment
  • Have a deep understanding of a range of ML techniques (LLMs, RLHF), areas (NLP, Speech), and tools (pytorch)
  • Maintain strong awareness of the state of the art, and can select an appropriate algorithm, tool, or technique for a given problem and scale
  • Proficiency with web (full-stack) technologies, especially Python; TypeScript is a plus
  • Experience implementing Machine Learning solutions, whether out-of-the-box or in-house
  • Familiarity with cloud services (AWS/Azure/Google Cloud) and how to leverage them to expedite development
  • A track record of building customer-facing products
  • Experience designing products from scratch alongside product and design teams

You'll Love This Role If You:

  • Are passionate about creating delightful customer experiences
  • Thrive in roles where you can wear multiple hats
  • "Ancora imparo" mindset
  • Have a maniacal sense of urgency
  • And are truth seeking in every aspect

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