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 in the mission of automating the order-taking process. The pivotal challenge ahead is the continual improvement of our AI. As a vital contributor, you'll play an instrumental role in integrating intent classification and named entity recognition solutions into our system. The impact of your role is vast – in the short term, it's about refining our Natural Language Understanding (NLU), and over the long haul, it's about optimizing our ML pipeline's performance.

What your day-to-day looks like

Collaborate with the ML Ops member, software, and testing engineers to ensure seamless integration of NLP models. Dive deep into the world of Machine Learning and NLP to create, train, and implement models that will elevate our system's performance. Engage with various data tools, databases, and software engineering tasks to create robust and efficient systems.

Essential Qualifications

• A foundation in ML, programming, and data manipulation
• Minimum of 3 years of experience as an ML Engineer
• BA in CS, DS, Physics, Mathematics or an equivalent field

Preferred Qualifications

• Hands-on experience in training and evaluating ML models in an industry setting
• Proven track record of selecting and deploying NLU models in production environments
• Academic publications in NLP

Team Fit

• A natural collaborator, you're at your best when part of a small, enthusiastic team. Your excitement about improving our ML pipeline performance is infectious, making you a valued team player.

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
• Ownership, responsibility, and empowerment in what you do
• Incredible teammates and a caring workplace culture