Palo Alto Jobs - July 2020

Lyft Level 5 | Self-driving Research | London, UK | Full-Time | Onsite

Level 5 is looking for doers and creative problem solvers to join us in developing the leading self-driving system for ridesharing. Our team members come from diverse backgrounds and areas of expertise, and each has the opportunity to have an outsized influence on the future of our technology. Our world-class software and hardware experts work in brand new garages and labs in Palo Alto, California, and offices in London, England and Munich, Germany. And we're moving at an incredible pace: we're currently servicing employee rides in our test vehicles on the Lyft app. Learn more at lyft.com/level5.

This newly formed team will develop new experimental solutions that combine the latest findings in cutting-edge computer vision, deep learning and large-scale data processing to advance the capabilities of our existing systems and to advance the state-of-the-art of the field. We are looking for Research Scientists and Machine Learning Engineers.

Responsibilities: -Work in a small, high-velocity team of engineers and researchers -Design and prototype new computer vision and deep learning solutions -Develop case studies and experimentally validate hypotheses Collaborate with AV engineering teams in productionizing systems -Advance the state-of-the-art, publish and represent Level 5 at top-tier conferences (e.g. CVPR, NeurIPS, ICCV, RSS, ICRA)

Experience & Skills: - Hands-on deep learning experience (deep learning, reinforcement learning, GAN, autoencoders etc.)

Apply at lyft.com/careers or get in touch direct - edingley@lyft.com

Houzz | Multiple Positions | Santa Monica, CA, Palo Alto, CA and Tel Aviv, Israel | Full Time | ONSITE (Remote during Shelter in Place) | www.houzz.com

We are actively hiring for:

- Data Scientists - Data Engineers - Infrastructure Engineers - Full-Stack Engineers - Developer Tools Engineers

Houzz is the leading home renovation and design platform in the world. We have a highly engaged community of over 40 million homeowners who leverage our technologies to find inspiration for their next home project, connect with over 2.5 million home design and remodeling professionals and discover products in the Houzz Shop.

https://www.houzz.com/jobs

Zyper (YC W18) | San Francisco, CA | REMOTE | https://www.zyper.com

Zyper helps brands connect with their fans, and fans connect with each other. Our founder Amber Atherton leveraged a brand community to grow and sell her online jewelry brand, and started Zyper to help other companies do the same. The team started in London in 2017, but quickly moved to Palo Alto to participate in Y Combinators’s Winter 2018 program. As brands like Lyft, Unilever, and Dior used Zyper to grow, the company attracted the attention of top investors like Forerunner Ventures and Talis Capital. Today, Zyper is a distributed team of 30 people. While our HQ is in San Francisco, our product and engineering team members live in Oakland, NYC, Colombia, Portugal, and Romania.

You’ll work on our Brands Team, helping to build the web and data experience that brands use to scale their communities. You’ll also develop internal tools that let us leverage recommendations and analytics from our data science team.

We use AWS and Heroku to run backend and API services. We have workers to run collections, monitoring and batch processing (on EC2), and use Python (Django) as the foundation for our web API.

This role will split its time between feature development and dev-ops work. Because you will be the first person on the team with extensive dev-ops experience, we are looking for someone who owns decisions about scaling infrastructure and improving developer experience.

Apply: https://jobs.lever.co/zyper/aa9d05bb-0e2c-4e67-aa1e-e3a9c72e...

Kagi.ai | Palo Alto, CA | Full-time, part-time OK| Remote for now

Kagi.ai is building a suite of easy to use, state of the art NLP APIs.

* Early stage startup, small team

* 100% Bootstrapped

We are looking for machine learning/NLP practitioner with:

- Relevant machine learning experience (data processing, text classification, embeddings)

- Experience with training, deploying and tweaking modern models (Bert onward)

- Passion for solving NLP problems (classification, question asnwering, search, summarization)

Tech stack: Python, Docker, GCP

We are hiring for entry level position although we will consider more senior level candidates as well.

Email: jobs@kagi.ai (send CV / relevant experience / availability / weekly rate)