About kea
Launched in 2018, kea is one of the fastest-growing companies changing the way restaurants operate. We've raised $29 million from Tier 1 Silicon Valley investors, and we're not stopping there. Originating in Mountain View, California, and now fully remote, we are building a team that is excited about our mission: drive the world’s commerce by empowering restaurants to operate more intelligently and own their relationship with customers. The first product in our platform, kea Voice, takes orders over the phone at a high level of efficiency and consistency so that restaurants can focus on making delicious food. That's a win-win!
Our Commitment as a team
At kea, we live our values--we are committed to innovation while moving as one unit at high velocity. We are compassionate and care for others. We are open and transparent. We play to win the long game. As you review the below keep Our Commitment in mind. Your uniqueness is valued and differences of opinion, background, and ability are welcomed. If you think you satisfy even just a few of the below points, please apply!
About the Role
Join our team as we work towards automating the order-taking process. As a key player, you'll ensure that we have the processes and pipelines in place necessary to scale as we bring on more brands. This role will bring you up close with challenges like finding models that fit our use-case and implementing them efficiently into our system. You will be a bridge between our ML and software engineers, defining and enhancing our process automation.
What your day-to-day looks like
- Collaborate with both the ML and software engineers to define and optimize process automation.
- Develop, monitor, and optimize pipelines for data collection, labeling, model training, and deployment.
- Monitor model performance in real time and ensure the processes continue to function correctly.
What sets you up for success
- BA in CS, DS, Physics, Mathematics, or an equivalent field (preferred to have a degree)
- A minimum of 1 year, ideally 2 years, of experience in ML, programming, and cloud computing.
- Basic understanding of ML algorithms, architectures, and cloud platforms, especially AWS.
- Familiarity with data pipelines, ETL processes, data storage solutions, SQL and/or NoSQL, and communication APIs.
- Experience with AWS, Twilio, and ETL pipeline construction would be a major plus.
- A collaborative mindset, an excitement to explore opportunities, and a strong alignment with our team's culture and values.
What we offer:
- Generous stock option plan
- 100% employer-paid medical and mental health care benefits. Vision and dental are also available
- Flexible time off
- Remote work
- 401K
- Ownership, responsibility, and empowerment in what you do
- Incredible teammates and a caring workplace culture