Lentil AI is an early stage startup spun out of Stanford Research Institute (SRI). Previous SRI companies include Siri, Nuance, Intuitive Surgical amongst others.
Lentil is at the intersection of communications and meeting productivity -- we are solving connectedness and presence for distributed teams. Lentil applies natural language and deep learning amongst other technologies to Voice, WebRTC and more.
We are venture backed and recently closed our Seed round of funding from reputable investors. You'll be joining a team of 8 meaning you are effectively part of Day 0 and definitely pre-launch!
Our team is comprised of mostly former entrepreneurs. Our CEO previously sold Tempo AI to Salesforce. Our Architect sold ImageChef to Cyberlink. We work alongside SRI researchers which includes many of the brightest minds in the areas of voice and machine learning.
Given that we are focused on communications, being remote is part of our DNA. Bay Area, the greater US or Canada all works! We do have an office at SRI in Menlo Park (in the Bay Area) if you’re local and if you are remote, we will want to make sure you have a home office set up and/or can work from a co-working space which we can arrange for you.
We are seeking a Senior Server Engineer. Our stack includes Java, Python, AWS, Kubernetes amongst other technologies. You will be joining a small team and building meaningful components to help us scale from 0 to 1M users. There is a ton of opportunity to learn here between Core engineering and DevOps.
Someone who would excel at this role:
Loves responsibility and autonomy associated with an early stage startup
Comfortable with startup pace and our ambitious goals
Is interested in scaling a consumer product from ground zero
Enjoys architecting and building both prototypes and production code
What we’re looking for:
2+ years experience scaling back-end systems
Experienced with Python, Go and/or Java
Experience with AI, NLP and ML algorithms is a plus
Experience with P2P and/or streaming video applications is also a plus
Have worked with infrastructure and frameworks such as AWS, Kubernetes, Swarm, Kafka, Websockets
Experience with big data (eg Cassandra, ElasticSearch, MongoDB)
Happy to share more information!
[No recruiters please]
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