Lendable are building a consumer first financial institution from the ground up. Our first product has transformed personal loans; we've made it simpler, more transparent and much, much faster. The average time for someone to get a loan is under 10 mins! We're backed by the biggest players in the market; Goldman Sachs, Credit Suisse, Natwest, etc. We're profitable, and have been for 2 years. We're the 6th fastest growing tech company in the UK and were voted the 3rd hottest startup to work for in 2020.
Polywise | Lead iOS Engineer | New York, NY | Full time | Onsite
Polywise is creating a fun, interactive way to read long-form nonfiction content in bite-sized visual sessions. Just as podcasts brought a feeling of productivity to the morning commute, we’re turning shorter breaks throughout the day into moments of interactive, visual learning.
We are a small, highly technical, experienced team. CEO Daniel Terry previously founded Pocket Gems and Episode Interactive, leading mobile games companies which have reached 250M users and raised over $150 million from Sequoia and Tencent.
We’ve recently closed a large round of seed funding and are seeking an experienced iOS engineer who will be our first full-time engineering hire.
Nines | Software Engineers | Full-Time | Palo Alto, CA
Nines is the first-of-its-kind radiology service. Our radiologists and engineers are on a mission to build world-class tools to enable the best radiologists to deliver the best patient care. We’re co-founded by David Stavens, former co-founder and CEO of Udacity, and co-founder of Stanford University’s self-driving car team (acquired as the foundation for Waymo). With the support of iconic VCs Accel Partners (early Facebook, Spotify, Dropbox, Slack investor) and 8VC (Oscar Health, Oculus, Hyperloop), and partnerships with several of the top health systems in the entire US, we are bringing the power of modern AI to radiology.
Key to building a host of clinical AI algorithms is our machine learning development environment. Our Machine Learning Operations (ML Ops) team is responsible for managing this environment and optimizing the velocity of development for machine learning models. We accomplish this by operationalizing all aspects of the model development lifecycle. This includes examining pain points of the development cycle and looking for opportunities to automate workstreams by building services with clean APIs. As the ML Ops team executes on reducing our key metric, the time-to-model-development, we empower our machine learning engineers to deliver the highest quality models in healthcare.
As a Senior Full-Stack Engineer on the ML Ops team, you will have an exciting opportunity to apply your knowledge of service-oriented architectures towards creating world-class machine learning systems in a regulated healthcare space.
ZipCam makes a smart, connected, automotive dashcam for driving safety. In the U.S., more than 37,000 lives per year are lost in automobile accidents. Worldwide, an unbelievable 1.25 million people die from car crashes annually. We don't need full L5 autonomous cars to save these lives: we can add computer vision and machine learning to existing vehicles, to save lives today.
ZipCam is seed-stage and well funded by angels. You should be a hands-on engineer, but management experience is a plus. Multiple positions available, all full-time, Onsite (Palo Alto) or Remote are OK:
* Midlevel or Senior Machine Learning Engineer. We do neural network analysis of driving video clips: lane-keeping, accident "near miss" detection, sign reading, stop light classification, stop line detection, other driving tasks. Also with a driver-facing camera: classification of various kinds of distraction (cell phone use, etc). You should have experience running accelerated ML models on video data. Experience with IoT is a plus. Low-power (embedded) inference experience is a plus.
* Experienced Android Engineer. We're looking for experience with video streaming, embedded devices, IoT, and intermittent data connections. Experience with the Google NNAPI is a plus. An eye for UI design is always welcome.
Drop us a line to learn more about the product roadmap, it's exciting. This is a historic moment for real-world ML applications. Please send your resume + linkedin & github URLs to jobs - at - zip - dot - cam. Please include relevant publications or mention relevant projects you have done. Looking forward to speaking with you.
P.S. If you'll be at NeurIPS in Vancouver next week, let's meet up during the conference.
Young Alfredabout 17 hours ago
Young Alfred | VP Engineering/Senior Backend Engineer | Junior Backend Engineer | Full-Time | ONSITE | New York City, NY | www.youngalfred.com
Young Alfred is a marketplace that helps homeowners compare and buy home insurance online. We are building the stripe/plaid like infrastructure into insurance carriers and opening up the YA API for partners to leverage our core technology/access 35 insurance carriers across all 50 US states.
We're seeking a VPE/Senior Backend Engineer. These are ground floor roles with significant responsibility & upside opportunity. Lighter salary & heavier equity. Bring your space suit - Young Alfred's a rocket ship.
Please email: Email is hidden
about 18 hours ago
Data Software Engineer III: Arlington, VA: Onsite, Full-Time:
Join a team of highly skilled engineers working to apply the latest developments in AI and Machine Learning to solving real world problems for our customers. Work in a collaborative, Agile environment, where every voice matters, outside the box thinking is encouraged, and the best ideas always win.
We are looking for a strong engineer with experience building applications from the ground up. We need someone who can work independently but can communicate clearly and knows when to ask questions and when to challenge assumptions.
TileDB, Inc. is a data management company spun out of Intel Labs and MIT to help Data Science teams make faster discoveries, by giving them a more natural way to store, analyze and share large sets of diverse data, so that they can stop wasting time working around performance limitations, inadequate data storage formats, and unfamiliar tooling. TileDB is comprised of a new multi-dimensional array data format, a fast embeddable, open-source C++ storage engine with numerous APIs and Data Science tooling integrations, and a cloud service for easy data management and serverless computations, all architected to solve common pain points faced by data scientists.
Our headquarters are located in Cambridge, MA and we have a subsidiary in Athens, Greece. We offer the ability to work remotely, but the candidates must reside either in the US or in Greece. US candidates must be US citizens, whereas Greek candidates must be Greek or EU citizens.
We have several open positions aimed at increasing TileDB’s feature set, growth and adoption. You will have the opportunity to work on innovative technology that creates impact on challenging and exciting problems in Genomics, Geospatial, Time Series, and more. A few features on the roadmap include enhancing our TileDB Cloud offering by optimizing our serverless framework, adding ML pipelines, and integrating with JupyterLab.